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Job DescriptionSenior Data Engineer Senior Data Engineer (Snowflake, dbt, Sigma) Location: Hybrid NYC or NJ/CT Comp: $150K-$200K base + bonus We're partnering with a fast-growing company operating at the intersection of data, analytics, and real-world consumer insights. Their platform processes large-scale datasets to power reporting, analytics, and business decision-making across multiple teams. They're looking for a Senior Data Engineer who can own the full data lifecycle, from ingestion and modeling through to business-facing analytics and reporting. What You'll Do • Build and maintain scalable data pipelines across batch and near real-time workflows, • Design and optimize data models in Snowflake to support analytics and reporting, • Develop and manage transformation workflows using dbt, • Own data ingestion processes using modern ELT tools and frameworks, • Partner with business stakeholders to translate requirements into data models and dashboards, • Deliver and maintain dashboards and reporting in Sigma Computing, • Establish best practices for data quality, governance, and documentation, • Strong experience with SQL and Python, • Hands-on experience with Snowflake and dbt (required), • Experience with Sigma Computing (required), • Experience building and maintaining modern ETL/ELT pipelines, • Experience working with cloud platforms (AWS preferred), • Strong understanding of data modeling and analytics engineering best practices, • Experience working cross-functionally with business stakeholders, • Experience with Fivetran or similar ingestion tools, • Experience with Tableau or Power BI, • High visibility across business and leadership teams, • Ownership of both backend data systems and reporting layer, • Modern data stack (Snowflake, dbt, cloud), • Competitive base + bonus, • Medical, dental, and vision, • 401k with match, • Generous PTO, • Professional development budget - For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 04/09/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review all results. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Cloud Computing. Lecturers are the primary instructors for courses and an invaluable component of the faculty community. This course introduces analytics students to applied cloud computing concepts and practices ranging from infrastructure and administration to services and applications. The course is primarily focused on the development of practical skills in utilizing cloud services to build distributed and scalable analytics applications. Responsibilities * Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions. * Monitor and address student concerns and inquiries. * Evaluate and grade student work and assessments. * Conduct office hours. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements • Ph.D. in Computer Science, Software Engineering, or related field Solid knowledge and academic foundation in distributed computing, UNIX operating system fundamentals and shell programming * Experience with the Linux operating system, cloud virtualization and storage systems * 3+ years of professional experience with at least one of the commercial cloud services (Google Cloud Platform, Amazon Web Services, Microsoft Azure, or IBM Cloud) * Knowledge of Python programming language Preferred Skills & Experience * University teaching experience * Experience with setting up and configuring Google Cloud Platform services * Knowledge of distributed computing and orchestration frameworks, such as Apache Spark and Kubernetes Additional Information Please submit a resume inclusive of university teaching experience. Columbia University is an Equal Opportunity/Affirmative Action employer. All your information will be kept confidential according to EEO guidelines. Salary Range: $11,000-$13,000 per semester length course

Job DescriptionAbout Us: Turnover Labs is a Brooklyn-based, early-stage startup developing breakthrough electrochemical systems that help chemical manufacturers capture and reuse their emissions. Our technology converts industrial waste gases directly into valuable chemical products - reducing carbon impact while unlocking new sources of revenue for industrial facilities. We’re building practical, scalable hardware for a more sustainable industrial future and are looking for engineers who want to apply their skills to meaningful, technically challenging work in the real world. Expected Start Date: June 1, 2026 Responsibilities: This project focuses on the research and development required to take our CO₂ electrolysis technology from the laboratory to our first pilot where it will operate on industrial emissions. To support this transition, we are seeking an Electrochemical Engineering Intern with experience working with electrochemical systems to perform durability testing on our CO₂ electrolyzers. The Electrochemical Engineering Intern will perform durability testing on different membrane electrode assembly configurations in the presence of different impurities, maintain a laboratory notebook, and analyze and present their data in technical meetings. The intern is expected to contribute to a collaborative culture on our technical team. Requirements: • B.S. / M.S. / Ph.D. student or recent graduate (within the last 12 months) in Chemical Engineering, Chemistry or a related field, • Must attend (or have attended within the last 12 months) a college/university in New York State and/or be a New York State resident, • Hands-on experience with electrochemical techniques, • Detail oriented and able to maintain an organized laboratory notebook and data, • Excited about climate technology, • A learner’s mindset and collaborativeDesired Background:, • Hands-on experience with membrane electrode assemblies and/or CO₂ electrolysis systems, • Proficiency in analytical techniques, including GC and ICP, • Experience with programming languages, especially Python, • Familiarity with characterization techniques such as SEM, TEM and XPS is considered an asset

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 the Team IT Systems Engineering at CoreWeave is responsible for building and operating the foundational systems that power identity, access, and enterprise security across the organization. The team partners closely with Security, PeopleOps, and Infrastructure to ensure identity is a first-class control plane that scales with the business. About the Role As a Staff Systems Engineer, Identity, you will serve as the primary technical owner of CoreWeave's enterprise identity ecosystem, with a focus on Okta and Opal. You will design, build, and operate identity lifecycle systems that are secure, automated, and scalable. This is a highly visible, high-impact role where identity sits at the center of security. You will define how access is granted, changed, and removed across the organization, enabling business velocity while enforcing least privilege and strong governance. What You'll Do • Design and scale enterprise identity architecture that minimizes access sprawl and enforces least privilege, • Own and improve Joiner, Mover, and Leaver (JML) lifecycle processes across all critical systems, • Build and operate identity governance and administration (IGA) capabilities including:, • Birthright access models, • Role-based access control (RBAC), • Approval workflows and policy enforcement, • Access reviews and certification processes, • Administer and enhance Okta capabilities (SSO, MFA, adaptive policies, lifecycle management, SCIM, integrations), • Build and scale access request workflows in Opal and integrated systems, • Integrate new applications into the identity ecosystem (SAML, OIDC, SCIM, role mapping), • Develop automation and infrastructure-as-code to improve reliability and reduce manual effort, • Partner with Security to strengthen identity as a core control plane (Zero Trust, authentication, authorization), • Align identity systems with PeopleOps and organizational changes, • Monitor and improve identity system health, observability, and performance, • Troubleshoot complex authentication, provisioning, and authorization issues, • Maintain documentation, runbooks, and architectural standards, • Serve as an escalation point for identity-related incidents, • Drive continuous improvement in identity architecture, governance, and user experienceWho You Are, • 7–10+ years of experience in IT systems engineering, identity engineering, or systems architecture, • Deep hands-on experience with Okta in a complex enterprise environment, • Strong expertise in identity and access concepts (SSO, MFA, SAML, OAuth, OIDC, SCIM, RBAC, Zero Trust), • Proven experience designing lifecycle automation (JML) and access governance frameworks, • Experience with IGA or access request platforms such as Opal, • Strong automation and infrastructure-as-code experience (Terraform, APIs, Python/PowerShell/Golang), • Ability to integrate enterprise applications into centralized identity platforms, • Strong troubleshooting skills across identity, federation, and provisioning systems, • Excellent communication skills with the ability to influence cross-functional stakeholdersPreferred, • Experience supporting compliance frameworks (SOC 2, ISO 27001, SOX, GDPR), • Familiarity with Active Directory, Entra ID, HRIS systems, and SaaS ecosystems, • Experience building identity observability and reporting 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 $188,000 to $275,000 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 DescriptionThis position is eligible to receive a Sign-on Bonus. Located in Manhattan, The New York Proton Center (NYPC) is one of the most unique and respected clinical partnerships in the world of proton therapy. The collaboration between Memorial Sloan Kettering Cancer Center, Montefiore Medical Center, and Mount Sinai Health System brings state-of-the-art proton therapy treatment to the patients of New York and the surrounding areas. Our team at NYPC is comprised of highly motivated, passionate, professional, and engaged individuals working together as a dynamic team to deliver an exceptional level of patient care, providing the most advanced proton therapy technology. We offer our employees a competitive compensation and benefits package with flexibility for growth and career advancement. If you meet the criteria and would like to be a part of our collaborative, innovative, and patient-focused team, please apply with a cover letter and copy of your resume, or CV, to the current opportunity listed below. Position Summary: The Post-Doctoral Research Fellow (PDRF) will design and conduct research within a specific field while receiving advanced training from a designated Principal Investigator to enhance professional skills and research independence needed for pursuing a professional career in Medical Physics. The ideal candidate will work with the Principal Investigator to develop new ideas, design and evaluate experiments, process and analyze data, and prepare scientific manuscripts for publication. The initial appointment is for one year, and renewal is expected upon the PDRF’s performance. Duties and Responsibilities: • Support lead and contribute to the development of artificial intelligence (AI) and automation solutions for clinical applications in radiation oncology, with a strong emphasis on improving treatment planning, workflow efficiency, and decision support., • Participate in and support a broad range of innovative clinical and translational projects, including proton treatment planning, treatment evaluation, device and software tool development, FLASH therapy, adaptive radiotherapy, reirradiation, and implementation of new clinical protocols., • Apply physics, mathematical modeling, and analytical reasoning to interpret complex clinical problems and identify optimal solutions for research and clinical implementation., • Comply with all New York Proton Center policies related to Privacy Rules established under the Health Information Privacy and Portability Act of 1996 (HIPAA)., • Other clinical and research supports as needed. Qualifications: • Ph.D. degree in Physics, Engineering, Computer Science, or related fields., • Strong programming skills with MATLAB and Python; scripting skills in Eclipse are preferred., • Experience in AI, machine learning, and automation development is highly preferred., • Must possess strong technical problem-solving skills., • Experience with Eclipse API scripting (C#) and medical image analysis/processing is preferred., • Knowledge of Monte Carlo simulation for proton therapy is preferred., • Strong oral and written communication skills. About the Area: New York City is a major metropolitan city and is home to world-renowned cultural offerings. Outdoor attractions include a variety of parks and green spaces including Central Park, the Brooklyn Botanical Gardens, the Bronx Zoo, and the High Line; multiple waterfronts on the island afford convenient access to scenic activities. Cultural activities abound in Broadway, Madison Square Garden, Lincoln Center, The Metropolitan Museum of Art, and the Museum of Modern Art; iconic sites include the Statue of Liberty, Empire State Building, Rockefeller Center, Times Square, and the One World Trade Center; championship teams in every major league sport; shopping abounds in SoHo, Fifth Avenue, Chelsea Market, and the Fashion District; and dining offerings are second to none. The New York Proton Center, situated in Manhattan, is well-located for city living and suburb living, with multiple suburbs, located 25 minutes from the Center, home to some of the best public school systems in the country. The salary range and/or hourly rate displayed is a determination of base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future. NYPC takes into consideration several factors in making compensation decisions including, but not limited to, skillset, experience and training, licensure and certifications, internal equity and other business and organizational needs. The New York Proton Center (NYPC) strives to maintain a workplace that accepts and appreciates the differences among our employees. The company will not discriminate against any applicant or employee based on age, race, gender, color, religion, national origin, ancestry, disability, marital status, covered veteran status, sexual orientation, gender identity and/or expression, genetic information, status with respect to public assistance or any other characteristic protected by state, federal, or local law. Monday - Friday schedule.

Job Description We are sharing a specialised part-time consulting opportunity for professionals experienced in data engineering, analytics engineering, ETL/ELT workflows, pipeline orchestration, data quality testing, warehouse design, and structured technical documentation processes. This role supports current and upcoming remote consulting opportunities focused on structured data pipeline review, analytics engineering workflow analysis, orchestration assessment, data quality validation, warehouse documentation, and high-quality project execution. Selected professionals will apply their data engineering expertise to review realistic pipeline scenarios, evaluate technical requirements, prepare structured written outputs, and support accurate, evidence-based data workflow tasks. Key Responsibilities Professionals in this role may contribute to: Pipeline Development & ETL/ELT Review • Review data engineering scenarios involving ETL/ELT pipelines, dbt models, incremental logic, watermark behavior, transformations, and output tables, • Evaluate pipeline outputs against defined data contracts, expected table structures, source materials, and transformation requirements, • Support structured review of SQL models, dbt projects, pipeline documentation, transformation logic, and data processing workflows, • Review orchestration scenarios involving Airflow, Dagster, Prefect, scheduled jobs, DAG dependencies, retries, and workflow execution, • Evaluate data quality tests against known pass/fail cases, validation rules, test suites, and documented expectations, • Support structured review of data quality checks, pipeline test cases, orchestration documentation, and monitoring workflows, • Review warehouse design scenarios involving schemas, data models, performance targets, query-time budgets, partitioning, clustering, and storage design, • Evaluate schema designs against defined contracts, downstream requirements, performance expectations, and documented constraints, • Support structured review of data contracts, schema documentation, warehouse models, and analytics engineering artifacts Strong candidates may have: • 3+ years of experience in data engineering, analytics engineering, data platform engineering, BI engineering, warehouse engineering, or related technical roles, • Experience with one or more areas such as dbt model development, ETL/ELT pipelines, orchestration, data quality testing, warehouse design, schema documentation, incremental models, or data contracts, • Familiarity with tools and platforms such as dbt, Airflow, Dagster, Prefect, Snowflake, BigQuery, Redshift, Databricks, Spark, SQL, Python, or similar data engineering systems, • Comfort reading and preparing data engineering artifacts such as dbt models, DAGs, schema docs, data contracts, test suites, pipeline documentation, and warehouse diagrams, • Strong written communication skills and ability to explain data engineering reasoning clearly, • Bachelor's or master's degree in computer science, data engineering, information systems, software engineering, statistics, mathematics, or a related technical field is helpful, • Experience with dbt model development, data contracts, incremental models, data lineage, orchestration frameworks, or modern data stack workflows, • Familiarity with Snowflake, BigQuery, Redshift, Databricks, Spark, SQL optimization, Python-based pipelines, or cloud data platforms, • Experience preparing or reviewing DAGs, schema documentation, data quality tests, transformation logic, warehouse models, or pipeline runbooks, • Familiarity with CI/CD for data pipelines, data observability, testing frameworks, or performance tuning, • Apply data engineering and analytics engineering expertise to structured remote project work, • Contribute to high-quality pipeline review, data quality assessment, orchestration analysis, and warehouse documentation workflows, • Work on flexible, project-based assignments aligned with your professional background, • Use your data engineering judgment in a focused, detail-oriented consulting environment, • Independent contractor role, • Fully remote with flexible scheduling, • Part-time commitment depending on project availability, • Competitive rates between $95–$135 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy:

Job Description We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. Primary skillset: Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL Secondary: Databricks Nice to have: Informatica/ETL. Responsibilities • Design and develop ETL processes based on functional and non-functional requirements in python / pyspark within Azure platform, • Document component design for developers and for broader communication., • Understand and adopt an Agile (SCRUM like) software development mindset, • Follow established processes/standards, business technology architecture for development, release management and deployment process, • Execute and provide support during testing cycles and post-production deployment, engage in peer code reviews., • Elicit, analyze, interpret business and data requirements to develop complete business solutions, includes data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life cycle management, governance, lineage, metadata and reporting elements., • Apply automation and innovation on new and on-going data platforms for those development projects aligned to business or organizational strategies., • Design, develop and implement reporting platforms (e.g. modeling, ETL, BI framework) and complex ETL frameworks that meet business requirements., • Deliver business or enterprise data deliverables (that adhere to enterprise frameworks) for various platforms/servers/applications/systems. Requirements • Proven working experience as a data engineer, • Bachelor degree or equivalent in Computer Science, • Skilled in Python object-oriented programming, • Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS, • Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora, • Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager, • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms, • Skilled in SQL, • Skilled in Jenkins, • Skilled in JSON, • Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica, • Skilled in cloud technologies and cloud computing, • Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere, • Determining causes of operating errors and taking corrective action, • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data, • Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB, • Programming including coding, debugging, and using relevant programming languages, • Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc., • Ability to frame ideas as systems and analyzing the inputs, outputs, and process, • Experience helping an organization to plan and manage change in effort to meet strategic objectives, • Adept at managing project plans, resources, and people to ensure successful project completion, • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal

Job DescriptionCompany Description Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. What sets us apart is our relentless pursuit of innovation. We leverage the latest advancements in cloud computing, artificial intelligence, and software-defined networking to provide our clients with a competitive edge in an increasingly interconnected world. Our solutions are designed to not only meet the current demands of the digital landscape but to also anticipate and adapt to future challenges. At Arista we value the diversity of thought and perspectives that each employee brings to the table. We believe that fostering an inclusive environment, where individuals from various backgrounds and experiences feel welcome, is essential for driving creativity and innovation. Our commitment to excellence has earned us several prestigious awards, such as Best Engineering Team, Best Company for Diversity, Compensation, and Work-Life Balance. At Arista, we take pride in our track record of success and strive to maintain the highest standards of quality and performance in everything we do. Job Description What You'll Do We are experiencing tremendous growth and have an immediate need for a collaborative, self-motivated Pre-Sales Network Systems Engineer OR Network Architect to partner with our Account teams to provide pre-sales technical systems engineering support for our enterprise/financial service customers in the NYC Metro area. The Systems Engineer is a critical component of the Arista Sales team with the key responsibility of acting as a trusted advisor for our customers to identify opportunities and gather requirements with existing and new customers. • You will conduct Arista product presentations of Arista’s Open Networking Data Center and Cognitive Campus (including Wi-Fi) networking solutions, CloudVision (Network Automation), Security (Network Detection), Endpoint Security and Real-time Fabric Monitoring solutions., • You will work with customers performing network architectural reviews, identifying pain points, suggesting improvement plans and solutions to integrate Arista product lines., • You will collaborate with Arista Account Managers, strategizing on the best sales process identifying the best solutions for customer, ensuring they are fully versed in all aspects of the solution, • You will architect, design and propose Arista Data Center & Campus network solutions using Arista recommended design and best practices., • Engage customers in Proof of Concept (POC) testing, validating the solutions identified, performing a full range of functional and failure testing., • Put together design guidelines and recommend improvements to customers for the networks they support, • Engage with customer during network outage escalations, providing an interface between the Customer, TAC and Dev teams though problem identification and resolution., • Partner with Sales Team to respond to RFP/RFQs, • Provide feedback to Product Management and Engineering, • Represent Arista at SDN and Open Networking industry events and conferences, • Keep up-to-date on competitive solutions, products, and services, • Author white papers on technology and productQualifications, • BS/CS/CE technical degree required, • Network Industry Certification preferred (e.g. ACE L5/7, CCIE (R&S), JNCIE), • You possess a minimum of 5+ years of L2/L3 networking design and implementation experience with a focus on Data Center, Campus, and Wi-Fi solutions., • Expert level experience with routing and switching including L2/L3 protocols., • You possess recent experience in leaf-spine architecture design., • Demonstrated work experience as either a Sales Engineer, Solutions Architect, Pre-Sales SE or Network Consulting Engineer preferred, • Expert knowledge in the following areas: Ethernet, RSTP/ MSTP, VLANs, IP Routing, TCP/IP, OSPF, BGP, EVPN, VxLAN, Multicast, QoS, • Good understanding of the competitor technology landscape - Cisco, Juniper, HP, • Expert level knowledge of industry-standard CLI, • Experience with SDN and Network Function Virtualization (NFV) highly desired., • Previous experience building network automation using Python and Ansible desired., • Knowledge of competitive products, solutions, and services, • Ability to write white papers a plus, • Local/Regional candidates only. Additional Information Compensation Information: The new hire base pay for this role has a salary range of $112,000 to $160,000. Arista offers different pay ranges based on work location, so that we can offer consistent and competitive pay appropriate to the market. The actual base pay offered will be based on a wide range of factors, including skills, qualifications, relevant experience, and work location. The pay range provided reflects base pay only and in addition certain roles may also be eligible for discretionary Arista bonuses and equity. Employees in Sales roles are eligible to participate in Arista’s Sales Incentive Plan, which pays commissions calculated as a percentage of eligible sales. US-based employees are also entitled to benefits including medical, dental, vision, wellbeing, tax savings and income protection. The recruiting team can share more details during the hiring process specific to the role and location Arista Networks is an equal opportunity employer. Arista makes all hiring and employment-related decisions in a non-discriminatory manner without regard to race, color, religion, sex, sexual orientation, gender identity, national origin or any other factor determined to be unlawful under applicable federal, state, or law law. All your information will be kept confidential according to EEO guidelines.

Job Description Piramidal is looking for a Forward Deployed Engineer to bridge the gap between our core technology and our clinical partners. You will work directly with hospitals and healthcare networks to deploy, integrate, and scale our real time neural monitoring platform. In this role you will • Partner directly with clients (hospitals and clinics) to deploy Piramidal's machine learning models and infrastructure., • Architect and implement technical integrations between our platform and existing hospital IT networks and EEG monitoring systems., • 3+ years of software, infrastructure, or forward-deployed engineering experience, • Strong proficiency with Python, • Proficiency with containerization and orchestration (e.g., Docker, Kubernetes) to deploy complex systems, • Experience troubleshooting Linux environments, networking architectures, and secure deployments, • Exceptional communication skills, with the ability to explain complex technical concepts to both engineering peers and clinical/IT staff We are building a first-of-its-kind foundation model for electrophysiological brain data. Our goal is to create scaled neural decoders that enable humans to understand and control neural syntax. Our flagship product brings a state of the art seizure detection model into real time clinical workflows, helping clinicians detect and respond to seizures faster. Interview Process • Initial Screen (30 min): Discussion to ensure timelines, experience, and expectations align., • Technical Screen (1 hour): via Google Meet, • Final Round (in person):, • Coding Problem (1 hour), • System Design (1 hour), • Product Session (1 hour), • Questions (20 minutes)

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: CoreWeave is seeking a highly skilled and motivated Infrastructure/Hardware Engineer to join our Hardware Engineering team, reporting to the Hardware Engineering Manager. In this role, you will play a crucial part in the design, development, and optimization of our liquid cooling hardware infrastructure. You will collaborate closely with cross-functional teams, external vendors, and stakeholders to ensure the successful delivery of highly performant and reliable hardware solutions. About the role: Responsibilities: • Develop and maintain hardware/firmware management services., • Automate all aspects of the liquid cooling hardware lifecycle., • Collaborate with cross-functional teams to define liquid cooling hardware requirements, specifications, and system architecture., • Create and maintain accurate documentation of liquid cooling hardware designs, specifications, test procedures, and results., • Analyze and optimize the performance of liquid cooling hardware systems, identify bottlenecks, and propose improvements for enhanced efficiency., • Establish processes for internal liquid cooling hardware testing, deployment, and performance optimization., • Optimize,test, and support rack-level liquid cooling solutions, including in-rack CDU (Coolant Distribution Unit) configurations., • Work with liquid-to-air sidecars and remote CDUs to manage heat rejection and optimize thermal performance., • Collaborate with data center facilities teams to integrate liquid cooling systems into broader infrastructure designs., • Develop and implement monitoring, alerting, and control systems for liquid cooling components (e.g., pumps, valves, flow sensors)., • Hands-on experience with in-rack CDUs, liquid-to-air heat exchangers, or end-of-row cooling units., • In-depth knowledge of server hardware, components, and management technologies., • Strong understanding of data center thermal design principles, including air and liquid cooling fundamentals., • Familiarity with coolant types, thermal transfer mechanisms, and leak detection/mitigation techniques., • Proficiency in ansible/python and experience with programmatically interacting with hardware using IPMI, SSH, or Redfish (preferably Redfish)., • Proven ability to collaborate with hardware and facility engineering teams to deliver integrated cooling solutions., • Strong passion for automation and infrastructure scalability, with a commitment to continuous improvement., • Excellent documentation skills and attention to detail., • 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 $120,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description WHY WE EXIST Money should move as easily as data. It doesn't today. Technology is finally catching up to the need — customers expect instant, global, programmable money. HIFI exists to fix that. Our mission is to make money programmable by default, and to give developers and businesses the tools to move value at software speed. We're rebuilding the financial plumbing of the internet from the ground up. THE ROLE As a Senior Backend Engineer at HIFI, you'll own critical components of our payments infrastructure — from API design and data modeling to event-driven pipelines and financial-grade reliability. You'll work across the full lifecycle of modern money movement: account creation, fiat and stablecoin settlement, global payouts, and onchain connectivity. This is not a maintenance role. You'll solve hard, novel problems at the edge of what's possible in financial infrastructure, move fast, own your systems end-to-end, and directly shape how billions of dollars flow through the internet. If you touch it, you own it. That's how we work. WHAT YOU'LL BUILD * API Development: Design, implement, and optimize APIs that connect businesses to HIFI’s financial infrastructure platform, with a focus on performance, reliability, and developer experience. * Core Infrastructure: Build and scale backend systems that process transactions, ensure correctness, and provide strong guarantees around scalability, reliability, and fault tolerance. * System Performance: Continuously improve throughput, efficiency, and resilience across distributed services. * Collaboration: Work closely with product, compliance, and business teams to deliver end-to-end solutions. * Ownership: Participate in technical roadmap planning and carry projects from design through production. * User Focus: Engage with customers to understand their needs and translate them into effective solutions. WHAT WE'RE LOOKING FOR * Bachelor’s degree in Computer Science, Engineering, Math, or related STEM field, or equivalent practical experience. * 2+ years of professional software development experience. * Proficiency in one or more programming languages (JavaScript/TypeScript with Node.js, Go, Python, etc.). * Experience working with RESTful APIs. * Experience with PostgreSQL or other relational databases. * Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes). * Working knowledge of version control (Git), CI/CD pipelines, testing, and monitoring/observability tools. * Strong communication and collaboration skills with both technical and non-technical teams. NICE TO HAVE * Knowledge of query optimization and database performance tuning. * Familiarity with concurrency control, distributed systems, and database transactions. * Experience working on distributed systems and optimizing them for scalability and performance. * Familiarity with event-driven architectures and messaging patterns (e.g., pub/sub, queues, streaming). * Exposure to job queues, caching services, and data pipelines. * Understanding of security best practices and a commitment to correctness in financial systems. * Experience building and launching a product from zero to one. * Background or interest in financial systems, payments, or blockchain/crypto technologies is a plus. THE HIFI CODE This is how we operate. Not aspirational — actual. Ownership If you touch it, you own it. Speed We bias toward motion. Clarity Confusion is a signal to act. Standards Quality matters always. Truth We value directness without drama. COMPENSATION & BENEFITS The expected salary range for this role is $135,000 - $160,000 USD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package. We offer full health coverage (medical, dental and vision) and unlimited PTO. We're changing how modern business moves value. If that sounds like the problem you want to spend the next chapter of your career on, we'd love to meet you. EQUAL OPPORTUNITY STATEMENT HIFI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status. We also provide reasonable accommodations during the hiring process. By submitting your application, you acknowledge that HiFi will process your personal information in accordance with our Applicant Privacy Policy. Compensation Range: $135K - $160K

Job DescriptionSalary: Depending on Relevant Experience oneZero Financial Systems is a global software development company with offices in the USA, UK, Singapore, and Australia. Our platform, deployed with over 200 financial entities worldwide, empowers banks, brokerages and hedge funds with cutting-edge trading technology. OneZero's core product features a high-performance trading environment with real-time integrations with some of the world's leading banks and financial institutions. Over the last few years, oneZero has seen a surge of interest from our client base in trading digital assets like bitcoin and other cryptocurrencies. Our platform is primed and ready to support this emerging asset class, allowing our clients to actively participate in the digital asset space 24 hours a day, 7 days a week. Were excited to expand and evolve our support model to accommodate the continuous trading hours of these digital assets. This change will also put us in the perfect position to handle the transition of traditional OTC FX markets to extended off-hours trading. Come and join the oneZero team to collaborate on this brand-new industry dynamic! oneZero earns 2025 Great Place To Work Australia Certification oneZero is proud to have been named one of Business Intelligence Group's Best Places to Work for three consecutive years: The Boston Globe names oneZero a Top Place to Work in 2022, 2023, and 2024: Please see oneZero featured in e-Forex Magazine to learn more about the company and our dynamic team Job Description: The Application Support Engineer position supports customer-facing operations by responding to operational and business issues. This position is also responsible for planning, deploying, and supporting client implementations of oneZero's products. This position will be responsible for planning and executing weekend activities in coordination with our existing Monday-through-Friday support team. This work will include carrying out upgrades and migrations for the oneZero application software, processing client service requests, and providing application support to clients over the phone, email, and live chat. The successful applicant for the Application Support Engineer position will be required to work full-time hours spread across set days during the usual business week and weekend. The typical schedule will be four weekdays and one weekend day per week. This is subject to an initial 8-week training period from the commencement date, during which all work will be performed Monday to Friday. Specific Duties: • Monitor production systems and analyze alerts to determine severity, business impact, and appropriate response strategy using technical expertise and operational experience., • Investigate system anomalies by correlating logs, metrics, and traces to identify root causes and determine remediation approaches., • Determine and execute appropriate corrective actions based on assessment of technical risk, business impact, and available remediation options (e.g., service restarts, failovers, configuration adjustments, rollbacks)., • Exercise independent judgment to balance response speed against technical risk when selecting among multiple remediation options in consultation with industry best practices., • Evaluate incident severity and business impact to determine when immediate action is warranted versus when to coordinate with engineering teams for complex or systemic issues., • Evaluate and enhance runbooks, operational procedures, and monitoring strategies based on operational experience and evolving system requirements., • Plan and coordinate deployments by assessing risk, determining validation strategies, monitoring key performance indicators, and making go/no-go decisions during rollout phases., • Plan and execute client implementations by evaluating readiness criteria, identifying technical dependencies, determining deployment sequencing, and designing validation strategies for bridging, aggregation, and reporting components., • Assess client connectivity requirements and infrastructure readiness, making informed recommendations about configuration approaches and integration patterns to ensure successful production transitions., • Partner with client-facing teams to assess operational risks, define technical requirements, and determine handover readiness for steady-state support., • Identify recurring operational patterns and design automation solutions (scripts, tooling, monitoring enhancements) that improve efficiency and system reliability while maintaining appropriate safety controls., • Analyze operational outcomes and document decisions, rationale, and results for auditability and continuous improvement., • Lead post-incident analysis by evaluating contributing factors and recommending process improvements, monitoring enhancements, or architectural changes., • Analyze trade execution issues, pricing anomalies, and connectivity problems by evaluating FIX/API message flows to determine whether issues require operational intervention or engineering escalation., • Assess and validate client onboarding prerequisites (API credentials, connectivity parameters, spread and routing configurations), making informed judgments about deployment readiness and identifying gaps requiring resolution., • Evaluate liquidity provider and platform connectivity issues, determining whether problems stem from configuration, network, or systemic factors., • Respond to client inquiries by analyzing technical issues, determining appropriate solutions, and providing guidance within SLA commitments., • Assess recurring client issues and technical patterns to identify opportunities for documentation improvements, process enhancements, or engineering solutions., • Ensure operational activities adhere to security best practices and change management procedures, exercising judgment about appropriate controls for different types of changes., • Handle sensitive client credentials and configuration data according to established security frameworks, making risk-based decisions about access and handling procedures., • Exercise judgment in determining appropriate response urgency and escalation based on business impact, technical severity, and client criticality for issues including latency spikes, connectivity problems, trade discrepancies, and configuration gaps. Required Skills: • 3+ years in production operations, site reliability engineering, or technical support for mission-critical systems., • Basic Linux system administration skills and networking knowledge (diagnostics, troubleshooting, performance analysis)., • Experience using monitoring and observability tools to diagnose system behavior and performance issues., • Demonstrated ability to analyze complex technical issues, evaluate remediation options, and make sound decisions under time pressure., • Clear written and verbal communication skills for incident documentation, client interaction, and cross-team collaboration., • Scripting (Python, Bash, PowerShell or similar) for simple automation and reporting., • Direct experience supporting or onboarding technical client integrations (readiness checks, configuration validation, data flow verification)., • Familiarity with bridging, aggregation, and reporting integration patterns (or demonstrable ability to learn them rapidly). Attractive Skills: • Exposure to realtime data or financial technology environments., • Container platform familiarity (Docker, for example, ECS, or Kubernetes)., • Streaming / messaging systems (Kafka, Kinesis, or similar)., • Basic performance troubleshooting (resource usage, latency, responsiveness patterns)., • Foundational security hygiene (least privilege, credential handling best practices)., • VMware virtualization exposure., • Administering MetaTrader (MT4/MT5) servers or related components., • Advanced PowerShell or broader programming (Go, Java, .NET) for tooling enhancements., • Supporting financial services clients in production triage contexts., • Knowledge of core financial markets concepts (pricing, spreads, order flow)., • Brokerage middle or back office operational experience (trade capture, reconciliation, reporting)., • Experience automating repetitive operational tasks (scripted runbook wrappers, small tooling improvements). the salary range for this role is $80,000- $140,000, depending on relevant experience

Job DescriptionCompany Description Uncommon Schools is a nonprofit network of high-performing public charter schools dedicated to providing an exceptional K-12 education in economically disadvantaged communities. Operating in Boston, Camden, New York City, Newark, and Rochester, we are committed to closing the college completion gap and preparing every student for college and beyond. Our students consistently exceed national benchmarks, reflecting our dedication to their success. We invest deeply in our educators, offering weekly coaching, feedback, and professional development to ensure excellence in teaching and leadership. Join us to work hard, do good, and make a lasting difference! Job Description You will play a key role in shaping how data flows across Uncommon Schools, helping teams make better decisions that directly impact students and communities. As a Senior Data Engineer, you’ll design and build the systems that connect our applications and data warehouse, ensuring data is accurate, accessible, and reliable. You’ll partner closely with teams across Data, IT, and the organization to translate complex needs into scalable solutions. This is a highly collaborative role where your work will strengthen how we use data to drive outcomes and continuously improve how we operate. Responsibilities Data Integration & Architecture • Design end-to-end data pipelines and integrations aligned to organizational goals, • Build and maintain APIs to enable seamless data movement across systems, • Transform and connect data across applications and the data warehouse while maintaining data integrity, • Provide advanced support for data integrations and partner with IT and Product teams to resolve issues, • Guide implementation of new integrations and support systems post-deployment, • Select and implement tools that support integration and data infrastructure needs, • Partner with stakeholders to understand needs and translate them into technical solutions, • Communicate complex concepts clearly to support strong decision-making, • Mentor team members and support adoption of best practices and coding standards, • Monitor integrations to ensure accuracy, reliability, and security, • Maintain documentation and a centralized view of data integrations, • Support development of governance frameworks for data management, • Contribute to long-term enterprise architecture planning and technical directionQualifications Required • 5+ years of professional experience in data engineering, analytics engineering, or a closely related field, • Deep, hands-on experience with dbt (data build tool), including building, testing, and maintaining production-grade data models (resumes without dbt experience will not be considered), • Strong proficiency in SQL and at least one programming language (e.g., Python), • Experience designing, building, and maintaining end-to-end data pipelines, including orchestration (e.g., Apache Airflow or similar tools), • Demonstrated experience with data modeling, including the ability to translate business needs into scalable, well-structured data models, • Experience owning data systems or projects end-to-end (scoping, designing, building, and maintaining solutions), • Experience working across systems and building integrations between platforms, with the ability to identify and recommend improvements across data flows, • Experience contributing to team-based projects and collaborating with cross-functional stakeholders, • Demonstrated ability to mentor, coach, or support other engineers, whether formally or informally, • Experience with modern data orchestration tools, • Experience with AI-assisted or agentic coding workflows (e.g., leveraging LLMs or AI tools to accelerate development), • Experience designing or contributing to scalable data architectures across multiple systems, • Strong problem-solving skills with attention to detail, • Ability to manage multiple projects and prioritize effectively, • Clear communication skills across technical and non-technical stakeholders Additional Information Our people are what make us Uncommon. We offer competitive compensation and comprehensive benefits that support the personal health, wellness, and finances of our staff and their families. Our compensation philosophy values equity & fairness and attracting & retaining top talent. Compensation The full compensation range for this role is $120,700 to $142,000. Typically, new hires who fully meet all qualifications listed in the job description will start at $124,300. Starting compensation below this reflects candidates with less experience or qualifications. Offers near the top end of the range are reserved for candidates who significantly exceed the qualifications, bringing extensive experience and specialized expertise beyond what is listed. Compensation determinations consider relevant professional experience and tenure with Uncommon Schools. Work Environment Manhattan-based role with in-office work three days per week. Benefit Highlights: • 19 days of paid time off, • 3 weeks of paid Winter and Summer org-wide holidays, • Comprehensive Health, Dental, and Vision insurance plans, • 403(b) retirement savings program + employer match, • Paid leave of absence options (parental, medical, disability, etc.), • Mental health and counseling support + wellness benefits, • Pre-tax flexible spending, dependent care, and health saving accounts *A detailed list of all benefits is located HERE. At Uncommon, we believe that a supportive and welcoming environment helps our students, staff, and community thrive. We are dedicated to building a team that brings a wide range of perspectives and experiences, reflective of the communities we serve---with over 70% of our staff identifying as people of color. Our organization values respect and open dialogue on important topics that shape our school culture. As an equal opportunity employer, Uncommon 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. We also ensure that individuals with disabilities receive all privileges and benefits associated with employment and are provided reasonable accommodations for the interview process and to perform core job functions. If you would like to request an accommodation, please email .

Job Description Who We Are Kargo creates powerful moments of connection between brands and consumers to build businesses. Every day, our 600+ employees work to radically raise the bar on what agentic AI, CTV, eCommerce, social, and mobile can do to deliver unique ad experiences across the world's most premium platforms. Taking a creative science approach to all we do, we continuously innovate solutions that outperform industry benchmarks and client expectations. Now 20+ years strong, Kargo has offices in NYC, Chicago, LA, Dallas, Sydney, Auckland, London and Waterford, Ireland. Who We Hire Techies who want to build the future. Creatives who want to design it better. Communicators to win business. Collaborators to build it. Data pros who turn numbers into insights. Product builders who turn ideas into innovations. Anyone eager to be on a team that doesn't stop to ask what's next, because they're already building it. Mission As the AI Engineer at Kargo, you will architect, build, and scale AI-powered products and automations for Kargo's commercial organization. Operating within the Data & AI team, you are the connective tissue between revenue teams and AI infrastructure — proactively identifying high-value use cases, building intelligent workflows and agentic applications, and deploying trustworthy systems across Salesforce, Snowflake, Slack, and other internal platforms. You're both hands-on and capable of owning the strategic roadmap for AI operations at Kargo. This is a hybrid role requiring onsite presence 4 days per week. Outcomes - What Success Looks Like in 6-12 Months • At least 3 high-impact AI automations are live and actively used by commercial teams — measurably reducing manual work or improving data quality across Salesforce, Slack, or Snowflake, • A governance model is in place covering prompt engineering standards, audit trails, and a feedback loop that drives continuous iteration, • Cross-functional stakeholders trust and use the tools you've built, and Kargo's Data & AI leadership has a clear, prioritized AI Ops roadmap that you own and drive Design & Automation • Design, build, deploy, and maintain AI-powered automations and agent workflows using modern orchestration frameworks — LangGraph, n8n, OpenAI Responses/Agents tooling, MCP-compatible architectures — with integrations across Salesforce, Slack, Snowflake, Atlassian, Google Workspace, Looker, and Airtable, • Translate business pain points into modular, extensible automation flows that are observable, debuggable, and fault-tolerant; proficient in Python or JavaScript for custom connectors and scripting, • Build production-grade LLM applications — agent workflows, retrieval systems, internal copilots — using ChatGPT Enterprise and related LLM APIs for knowledge surfacing, workflow routing, decision support, and dynamic content generation, • Work cross-functionally with Sales, Client Services, Media Strategy, Marketing, Product, and Ops to discover automation opportunities, prototype quickly, document tooling, and drive self-service adoption, • Prompt libraries, embeddings-based retrieval, or vector databases (Pinecone, Weaviate) and RAG pipelines Builder's Instinct • AdAge Best Places to Work, • ThinkLA Partner of the Year, • Built In Best Places to Work, • Cynopsis 2025 Top Women in Media - Jeannine Shao Collins, • Martech Breakthrough Awards - Best Overall Adtech Company, • Digiday Media Awards Best Event, • Cynopsis Media Impact Awards-Best CTV Platform, • Martech Breakthrough Awards-CTV Innovation, • Big Picture: kargo.com Pursuant to applicable fair chance laws, including the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Kargo will consider qualified applicants with arrest and conviction records for employment.

Job DescriptionAkamai Expert Engineer (Green Card/USC) Core skills Manage confirmation for Akamai Automation of configuration mgt in Akamai tool Very hands on with Akamai CDN Responsibilities: Design, develop, and implement automation solutions for Akamai configurations. Create and maintain scripts and tools to automate the deployment and management of Akamai services. Collaborate with development, operations, and security teams to integrate automated Akamai solutions into the overall infrastructure. Monitor and analyze the performance of automated configurations to ensure optimal operation. Troubleshoot and resolve issues related to automated Akamai configurations. Qualifications: Extensive experience with Akamai technologies, including CDN, WAF, and other performance and security solutions. Strong proficiency in scripting languages such as Python, Perl, or Shell. Experience with automation tools and frameworks (e.g., Ansible, Terraform, Jenkins). Strong communication and collaboration skills.

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 DoAbout the Team The Strategy & Transformation team is responsible for building and scaling CoreWeave's internal systems across Finance and Supply Chain. We focus on delivering AI-first, highly automated, and deeply integrated solutions that power critical business operations. This team partners closely with Finance, Accounting, Procurement, IT, and Engineering to modernize workflows and enable real-time, data-driven decision-making. About the Role As an Integration Engineer, you will design and build scalable integrations across CoreWeave's Finance and Supply Chain systems. Your day-to-day will focus on developing workflows using Workato and/or Boomi, building APIs, and enabling real-time data movement across business-critical platforms. You will work closely with cross-functional stakeholders to automate processes, improve system interoperability, and ensure data reliability. This role blends hands-on integration engineering with growing exposure to modern development practices and GenAI-enabled automation. Who You Are • Proven experience building integrations using Workato (Boomi experience is a plus), • Strong expertise in Finance systems, including FP&A, Revenue Accounting, AP, AR, Treasury, Tax, and Billing, • Experience working with Supply Chain systems such as ERP, PLM/PDM, Procurement (PR/PO), and Planning/MRP, • Hands-on experience designing and implementing RESTful APIs and event-driven architectures, • Proficiency in Python and/or JavaScript, • Experience working in cloud environments (AWS, Azure, or GCP), • Working knowledge of DevOps and CI/CD practices, • Experience using or integrating GenAI tools (e.g., Cursor, ChatGPT, Codex) in development workflowsPreferred, • Experience managing integrations in complex, enterprise-scale environments, • Familiarity with ERP and supply chain management platforms, • Experience building or supporting first-party/internal applications, • You love building scalable integrations and automating complex business processes, • You're curious about applying AI and emerging technologies to enterprise systems 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 Description Job Title: Principal Consultant, Data Work Style/ Location: Onsite, Washington DC Metro or New York, NY Type: Full-Time, USC and GC Status Accepted Sector: Data, AI & Analytics Target Salary: Competitive Position Overview BizFirst is supporting our client in identifying a Principal Consultant to lead data and AI engagements across a broad mix of industries and platforms. This is a senior, hands-on role for someone with 10+ years of experience who wants to own customer relationships, lead multi-stream delivery, and help shape a growing practice. Principal Consultants run their engagements. You’ll have direct access to client executives and data leadership, set technical direction for delivery teams, and decide how the work gets done. A growing portion of the practice sits at the intersection of data and generative AI, helping customers build agentic workflows, semantic layers, and LLM-ready data foundations. Our client is a fast-growing global data and AI consultancy with operations across three continents and 140+ consultants serving 70+ enterprise clients. They’ve built a consultant-first culture with a proprietary learning academy, paid certifications, and deep partnerships with platforms like Snowflake, Databricks, and Google Cloud. The US office combines the credibility of an established global brand with the energy of a New York startup. Your Career, Accelerated This is a senior role with real ownership. You’ll run engagements end-to-end, set the technical direction, and make decisions close to the ground where they can make a difference. You’ll work across a wide range of verticals and platforms, partner with alliance teams at Snowflake, Databricks, and Google Cloud to shape new work, and help build the playbooks, reference architectures, and learning academy modules that the next generation of consultants will learn from. What You'll Do • Own the customer relationship. Run multi-stream programs with direct access to client executives and data leadership, and make the calls that move the work forward, • Grow the account. Partner with business development, sales engineering, and Snowflake, Databricks, and Google Cloud alliance teams to scope new work, shape proposals, and expand existing engagements, • Deliver hands-on. Ship production-grade data platforms, pipelines, and AI workflows alongside consultants and senior consultants. Delivery at this level is hands-on, nothing gets handed off and forgotten, • Lead the team. Set technical direction for delivery teams of three to six consultants, break work into clear streams, unblock your engineers, review their code and designs, and raise the bar through your own contributions, • Shape the practice. Contribute to playbooks, reference architectures, and delivery patterns; mentor Senior Consultants moving toward Principal; and author the learning academy modules you wish had existed earlier in your career Tools & Tech Stack • Languages: SQL (lots of it), Python, Spark, • Data Platforms: Snowflake, Databricks, BigQuery, Microsoft Fabric; breadth across more than one is a plus, • Transformation & Orchestration: dbt, Airflow, Dagster, Prefect, • Ingestion & Streaming: Fivetran, Airbyte, dlt, Kafka, Kinesis, or homegrown pipelines, • Cloud: GCP, AWS, Azure, • Governance & Catalog: Unity Catalog, Snowflake Horizon, Microsoft Purview, • GenAI & ML: Snowflake Cortex, Databricks Mosaic, Vertex AI; RAG, semantic search, agentic workflows, and LLM-in-the-loop systems, • BI & Viz: Power BI, Tableau, Looker What We're Looking For This is a senior role, so we’re looking for someone with deep technical chops, a track record leading multi-stream delivery, and the judgment to run customer relationships at the executive level. Depth in many of these areas is what we’re after: • Located in Washington DC Metro or New York, NY, • 10+ years in data engineering, analytics engineering, or data platform consulting, • Track record leading multi-stream delivery on complex data and analytics programs, • Strong SQL fundamentals and data modeling depth (Kimball, Inmon, Data Vault, whatever your flavor), plus solid grounding in data engineering principles like data timelines, cleaning, and pipeline engineering, • Deep hands-on experience with modern cloud data platforms (Snowflake, Databricks, BigQuery, or Microsoft Fabric) and production ELT/streaming environments, • Working knowledge of data lakes, including when to use them and how to play to their strengths, • Hands-on experience with dbt and modern orchestrators like Airflow, Dagster, or Prefect, • Experience designing for lineage, access control, and cost efficiency from day one using tools like Unity Catalog, Snowflake Horizon, or Microsoft Purview, • Comfort working directly with client executives and data leadership, shaping proposals, and partnering with sales engineering and platform alliance teams, • Familiarity with classical ML and modern generative AI patterns including RAG, semantic search, agentic workflows, and LLM-in-the-loop systems, • Experience working with BI and data viz tools such as Power BI, Tableau, or Looker, • A hands-on delivery mindset, this role codes, reviews designs, and unblocks the team, it doesn’t hand things off and hope for the best, • A natural problem solver who stays curious, adapts quickly, and wants to build a better consultancy based on empowerment, autonomy, and doing right by the customer These aren't requirements, but if any of these describe you, we'd love to hear about it: • Certifications: Snowflake SnowPro, Databricks Data Engineer Professional, Google Cloud Professional Data Engineer, Microsoft Fabric Analytics Engineer Associate, and the like, • Hands-on experience building agentic workflows, semantic layers, or LLM-ready data foundations in production, • Industry depth in financial services, media and ad tech, gaming, freight and logistics, trading, or the public sector Perks & Benefits Our client offers stock standard benefits that everybody wants, plus a few extras: • Competitive salary, • Medical, Dental, and Vision plans picked for both young single professionals and those with families to support, • 401(k) match, dollar-for-dollar, up to 4% of your salary, • Flexible paid time off designed for adults, take time as you need it (and you do need at least two weeks off, preferably contiguous, per year), • Top-of-the-line hardware, optimized for horsepower or mobility (we’re all on Macs), • Proprietary learning academy with 100+ custom modules. At Principal level you’ll help shape the curriculum, authoring modules and mentoring peers through the topics you know best, • Certification stipend for the platforms you deliver on About BizFirst BizFirst is a recruiting firm built for companies that got tired of being account #47. We place talent across AI and data, GovCon, finance and operations, and telecom infrastructure. Every search is led by a senior Delivery Lead managing just 3 to 4 clients total. The result: candidates in days, a single point of contact from kickoff to placement, and a 94% retention rate past 90 days.

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: We are hiring a Staff Machine Learning Engineer to drive the design, development, and deployment of machine learning systems that power our core products in User Growth and Monetization. You will work on building deeply personalized user experiences that drive business growth and meet individual needs and preferences: by targeting the right users with the right products at the right time, we empower product teams to drive meaningful growth in revenue and user engagement while enhancing user satisfaction. The Growth Product Group is responsible for the development of paid features to accelerate dating outcomes, driving engagement throughout a user’s lifecycle and making Hinge the dating destination for all communities. You can expect to work on a broad range of problems, from identifying how to send the right message to the right user at the right time to optimizing the efficacy of our paid offerings. This is a fast growing team, and you will help define the vision and strategy that drives meaningful growth and accelerates machine learning at Hinge.Responsibilities: • Lead the end-to-end development of production-grade ML systems such as user targeting models that will help drive engagement, improve dating outcomes and/or improve user adoption of and engagement with paid features, • Define and own the technical roadmap for ML within your product area and align with company-wide priorities, • Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process, • Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters incrementally, • Keep abreast of and bring to Hinge applicable cutting-edge research, technologies, and best practices in the ML/AI space., • Mentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scale., • Ensure the ethical and responsible use of ML/AI and compliance with privacy regulations to protect user data, • Communicate effectively to audiences of various technical and non-technical backgroundsWhat We're Looking For:, • Strong programming skills: Proficiency in Python and ML libraries such as PyTorch, • Domain expertise: Deep understanding of machine learning, deep learning, and emerging AI technologies. Proven track record of building, debugging, and fine-tuning machine learning for user facing products. Experience with causal inference, uplift modeling, and interventional data collection is a plus., • System design & architecture: Strong background in setting up and optimizing ML infrastructure, including containerization (Docker), orchestration (Kubernetes), and CI/CD workflows for ML (e.g., model versioning, automated testing)., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, KubeFlow, or Weights & Biases is a plus., • Data engineering knowledge: Skills in handling and managing large datasets including data cleaning, preprocessing, and storage. Good understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.., • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes., • 5+ years of experience, depending on education, as an MLE, with at least 2 years in a senior or staff-level role, • Previous experience in User Growth or Monetization, • 3+ years of experience designing and developing end-to-end, production grade ML systems, • 4+ years of experience working in a cloud environment such as GCP, AWS, Azure, • 3+ years of experience leading projects with at least 1 other team member through completion. #Hinge .

Job DescriptionCareer Renew is recruiting for one of its clients a Staff AI Engineer - this is a fully remote role for US-based candidates, as long as they can work EST hours. Salary range: 175-250K USD yearly plus benefits and equity. building the Hyperliquid Agent Runtime. Senpi agents make real trades with real money 24/7, generating a continuous stream of decisions and outcomes across dozens of concurrent strategies. Today, our agents are effective but independent. Each one runs its own logic, and when one discovers a winning pattern, a human has to manually propagate that insight across the fleet. We’re hiring a Staff AI Engineer to make that process autonomous: build the intelligence layer where the fleet learns from itself and gets smarter with every trade. This is a production role, not a research role. The feedback loop is immediate — your work either makes the agents more money or it doesn’t. Every trade is a measurable outcome. What You’ll Own Learning & Optimization The fleet generates thousands of trading decisions per day, each with a measurable outcome. You’ll build the systems that turn this stream into compounding intelligence: * Design and implement the feedback loop that connects trade outcomes back to strategy improvement — signal selection, risk parameters, position sizing, and timing * Build the evaluation framework that quantifies which signals, market conditions, and agent configurations actually predict profitable trades versus which ones are noise * Develop automated strategy generation and testing — the system should explore new configurations, backtest them against real fleet data, and surface candidates for deployment * Detect shifts in market conditions and adapt fleet behavior accordingly — what works in trending markets fails in choppy ones, and the system should recognize the difference Autonomous Fleet Intelligence Build the higher-order agents that manage and improve the fleet without human intervention: * Automated fleet monitoring that catches configuration errors, degraded performance, and infrastructure issues across all agents continuously * Performance attribution that decomposes every trade into its component drivers — was the signal right, was the execution efficient, was the exit well-timed — and feeds those insights back into strategy design * Fleet coordination that manages concentration risk, capital allocation across strategies, and the balance between exploration (testing new approaches) and exploitation (scaling what works) Model & Inference Own the path from external LLM dependence to Senpi-controlled intelligence: * Evaluate and implement the right model hosting strategy — from proxied external models with full telemetry, to fine-tuned domain-specific models on owned infrastructure * Build the telemetry and data capture layer that makes learning possible — every decision, every evaluation, every outcome structured and queryable * Determine whether and how domain-specific training (on trading data, market patterns, and fleet performance) outperforms general-purpose prompted models — then build the pipeline to make it happen * Optimize inference for the specific demands of autonomous trading: many concurrent agents, structured decision outputs, cost-efficient at scale What We’re Looking For Must Have * ML engineering in production — you’ve trained, deployed, and maintained models that run in production and directly impact business outcomes. Shipped systems, not just notebooks * Reinforcement learning or online learning experience — you understand the practical challenges of learning from real-world outcomes rather than static datasets. You’ve built systems where model outputs generate actions that generate feedback that improves the model * Strong software engineering — Python is your primary language, comfortable with Go or TypeScript for production services. You build data pipelines and distributed systems, not just models * You’ve closed the loop — the single most important qualification. You’ve built a system where predictions lead to actions that generate outcomes that feed back into better predictions. End-to-end, in production, with measurable improvement over time Strong Plus * Experience with financial ML — signal generation, alpha research, portfolio optimization, or execution optimization * LLM fine-tuning and serving — PEFT/LoRA, vLLM, TGI, or custom inference pipelines in production * Multi-agent systems — designing systems where autonomous agents coordinate, compete, or learn from each other * Onchain data or DeFi protocol experience * Background in domains where agents make sequential decisions under uncertainty — robotics, autonomous systems, game AI What This Role Is Not This is not an ML research role where you publish papers and hand off models to an engineering team. You own the full stack from data pipeline to deployed model to production outcome. This is also not a prompt engineering role. While today’s agents use prompted LLMs, the trajectory is toward learned behavior — agents that improve through experience, not through better instructions. Compensation & Package Compensation * Total starting all-in comp: ~$450k * Base salary: $175,000–$250,000 USD (location and experience dependent) * Equity: ~1% initial stock grant, valued at $230,000 in last round, projected to double in next 6 months * Plus: Team-wide eligibility for salary increases and bonuses tied to revenue and usage * Plus: Token upside: pro-rata participation in Senpi’s token launch (planned for 2026) This role is meaningfully ownership-driven, with upside tied directly to company success.

Job DescriptionAbout CookUnity: Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. About the Role We're hiring for an experienced ML-focused Data Scientist to own growth-oriented modeling across the customer lifecycle - acquisition, activation, retention, resurrection and monetization. You'll work alongside other data scientist to design, validate, and productionize statistical and ML systems (pLTV, churn/survival, uplift/incrementality, lookalikes, clustering/embeddings, NBA/ranking) that directly drive growth. This is a hands-on role for someone with strong mathematical/statistical foundations, broad modeling experience, and pragmatic MLOps chops who can lead experiments and partner closely with Marketing, Engineering, CRM, and Product. What you'll do… • Lifecycle modeling: Build and maintain predictive LTV, churn (including survival/time-to-event), order-rate, and resurrection models that feed acquisition, CRM, and retention strategies., • Acquisition & lookalikes: Create lookalike / propensity models for paid channels and audience construction; optimize CAC vs LTV tradeoffs., • Next-Best-Action & personalization: Develop NBA/ranking models, small-scale recommenders and embedding-based similarity systems to increase activation and orders., • Unsupervised & representation learning: Lead segmentation, clustering, embeddings and representation work that create actionable cohorts and features., • Production & MLOps: Own the full model lifecycle - training pipelines, CI/CD, model registries, containerized deployment, monitoring, retraining and drift detection; partner with engineers to operationalize models into CRM, marketplace and paid channels., • Model governance & reproducibility: Ensure models are well-tested, explainable, calibrated, and auditable; document assumptions, limitations and business mappings., • Cross-functional influence: Translate technical work into product recommendations, dashboards and clear narratives for Growth, Marketing and Engineering. Mentor peers and raise modeling and MLOps standards.Required qualifications, • 5-8+ years in data science, applied ML or statistics, with a track record of shipping production models., • Strong math & statistics: probability, inference, regression, survival analysis/time-to-event, causal reasoning, and familiarity with statistical modeling tradeoffs., • End-to-end ML experience: experience building, validating and deploying classification/regression/ensemble/deep models; comfort with embeddings and representation learning., • MLOps & production skills: pragmatic experience with model CI/CD, model registries (MLFlow or similar), containerization (Docker), orchestration (Airflow), and runtime infra (K8s / ECS)., • Software engineering & tooling: Python (pandas, scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow optional), strong code hygiene, testing and reproducibility., • Product & stakeholder collaboration: excellent communication, ability to embed with Growth/CRM/Marketing and translate models into product decisions., • Education: BS in a quantitative field required; MS/PhD in statistics, math, CS, economics or similar preferred.Nice-to-haves, • Experience in subscription marketplaces, food-tech, or consumer marketplaces., • Familiarity with feature stores, Snowflake/BigQuery, and production monitoring tools., • Experience with causal libraries (EconML), uplift frameworks, or survival modeling packages., • Prior work on small-scale recommender systems, embeddings, or NLP personalization. Learn More About CookUnity We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we're looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale. We hope this provides valuable insight into our culture and product vision. If this excites you, we'd love to connect! Benefits 🩺 Health Insurance coverage 🌅 401k Plan ⛱ Unlimited PTO 🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical 🐣 Paid Family leave 🕯 Compassionate Leave: 3-5 days each time the need arises 🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly 🧘🏽️‍♀️ Wellness perks: access to a nutritional coach and fitness subsidies to build a healthy lifestyle 👩🏾️‍🏫 Personalized Spanish coach 🌟 Awesome opportunity to join a company that is looking to change how we eat and how chefs work! Compensation All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.Pay Range for this position$160,000—$185,000 USD If you're interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability. A quick note for all candidates We've recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously — sometimes, as part of our process, we may ask for a brief "proof of humanity" to confirm that we're connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us: • Apply only through our official channels. All open roles are listed on our official careers page: careers.cookunity.com, • Our recruiters are real people — and easy to verify. You can always find them on LinkedIn with verified profiles. If you're unsure, feel free to reach out to us on our official LinkedIn Company Page., • We only communicate through official CookUnity channels. That means emails ending in @cookunity.com and interviews held through official company platforms (Google Meet or Zoom) — never WhatsApp, Telegram, or SMS.

Job Description Trexquant is a growing systematic fund at the forefront of quantitative finance, with a core team of highly accomplished researchers and engineers. We are in the process of optimizing and reimagining our quant platform to keep pace with our expanding trading operations. To support our rapid growth, we are seeking a talented C++ Trading & Simulator Engineer to join our growing technology team and help build the next generation of trading systems and analytics platforms. As a C++ Trading & Simulator Engineer, you will work closely with quantitative researchers and traders to design, develop, and optimize high-performance systems for algorithmic trading. Your responsibilities will include building and maintaining the core infrastructure for trading simulations, data pipelines, and low-latency execution platforms. The ideal candidate will have a strong background in C++ development, and experience in creating scalable, low-latency, high-throughput systems. Responsibilities • Design, build, and maintain the infrastructure for quantitative research, backtesting, and strategy deployment, including data pipelines, computation engines, and integration with trading systems., • Continuously optimize the infrastructure to support large-scale data processing and complex model computations., • Develop and optimize data loading and transformation pipelines to ensure efficient access to high-quality data for analysis and model development., • Create tools and automation scripts to streamline research workflows, including model training, evaluation, and deployment., • Collaborate closely with quantitative researchers and traders to understand their needs and deliver technical solutions that enhance research productivity, backtesting accuracy, and trading performance., • A degree in Computer Science, Engineering, Mathematics, or a related field, 2+ years of experience writing production-quality code in C++ (C++ 17/20) with a deep understanding of data structures, algorithms, concurrency patterns, and numeric processing, • Experience designing, implementing, and optimizing low-latency and high-throughput systems, particularly for financial applications., • Experience with Python programming is a plus., • Competitive salary plus bonus based on individual and company performance., • Collaborative, casual, and friendly work environment., • PPO Health, dental and vision insurance premiums fully covered for you and your. Dependents., • Pre-tax commuter benefits., • Weekly company meals. Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026. The base salary range is $175,000 to $200,000 depending on the candidate’s educational and professional background. Base salary is one component of Trexquant’s total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer

Job Description Who We Are: Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series D funding round brought our total investment to over $320 million, fueling our ambitious vision. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 9 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 230+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: We are looking for a Head of Data to lead Alpaca's ~15-person data department across Platform Engineering, Analytics Engineering, and Data Science. You will own the data strategy, the team's execution, and the department's roadmap. The Data department serves every function at Alpaca: it powers partner invoicing and revenue attribution, provides the analytical foundation for sales, product, and compliance, and operates the data platform that processes hundreds of millions of events daily. You will manage three team leads, balancing operational delivery (invoicing, embedded analytics, regulatory reporting) with strategic bets (self-service warehouse, AI-powered analytics, enterprise search). This is a player-coach role. You will set direction for the team while staying close enough to the technical details to make architecture decisions, unblock your leads, and represent data's capabilities to the executive team. Things You Get To Do: • Lead and develop three sub-teams: Platform Engineering & ETL, Analytics Engineering, and Data Science & Analytics. Manage leads, set priorities, and ensure delivery., • Own the Data Lakehouse architecture: Trino, Iceberg/GCS, Airflow, Airbyte, Redpanda CDC, dbt. Make build-vs-buy decisions on tooling., • Drive partner invoicing accuracy and evolution: ensure invoicing logic is versioned, reproducible, and scales with new pricing mechanisms and product launches., • Deliver embedded analytics: expose warehouse data to partners via BrokerDash, SSR pipelines, and API-based reporting. Own row-level security and entitlements., • Support product launches with data change management: coordinate data impact analysis for new products (fixed income, global stocks, perps, 24/5 trading) across downstream datasets, dashboards, and reverse ETL., • Accelerate self-service: move the organization toward self-serve analytics via semantic layers, data catalogues, and conversational BI so the data team can shift from ad-hoc queries to strategic projects., • Guide AI/ML enablement: oversee enterprise AI search, agent-based workflow automation, and LLM-powered analytics. Help balance vendor solutions with in-house development., • Collaborate with Finance, Sales, Product, Compliance, and Customer Success to translate business needs into data products., • Manage infrastructure costs: keep data + cloud cost ratio under target as AUC grows., • 8+ years in data engineering or analytics, including 3+ years managing data teams (leads + ICs)., • Deep experience with modern data stack: dbt, Trino/Presto or equivalent query engines, Apache Iceberg or similar table formats, cloud object storage., • Hands-on experience with ETL/ELT patterns at scale: CDC (Debezium/Kafka), batch (Airflow/dbt), streaming, and reverse ETL., • Track record of building self-service analytics capabilities for non-technical stakeholders., • Experience with financial data: trading, invoicing, revenue attribution, or regulatory reporting in fintech or financial services., • Proficiency in Python and SQL. Comfortable reading code, reviewing PRs, and making architecture decisions., • Experience managing distributed/remote teams across multiple time zones., • Strong stakeholder management: you can translate between executive priorities and engineering execution., • Experience with brokerage or broker-dealer operations (clearing, settlement, market making, reconciliation)., • Familiarity with LLM/AI tooling: MCP, vector databases, enterprise search, conversational BI (WrenAI, Cube)., • Background in compliance analytics (AML/Actimize, KYC, margin calls)., • Exposure to open-source data catalogues (OpenMetadata, Collate) and data quality frameworks.How We Take Care of You:, • Competitive Salary & Stock Options, • Health Benefits, • New Hire Home-Office Setup: One-time USD $500 Recruitment Privacy Policy

Job DescriptionThis general submission posting is an opportunity to submit your resume for future consideration only; not for an existing opening. We anticipate this role may be open in the near future. If you wish to be considered for this potential opportunity, please submit your resume. When a position becomes available, you may be contacted by our Talent Acquisition team. The Company will only contact applicants who are selected for further consideration about potential future opportunities. Business Unit: Curated Position: Compositor, Sr Location: New York, NY (Remote) *Pay Range: $59.23 - $88.85 USD hourly POSITION SUMMARY: The Senior Compositor role requires creativity and high technical abilities. They will take direction from the VFX and Compositing Supervisors and will also be expected to work autonomously in a fast paced environment to deliver an extremely high level of work. The Compositor is often given the most complex and demanding shots to complete. They are expected to be comp generalists who can handle a wide range of comp tasks from start to finish including but not limited to compositing live action and CG, blue/green screen keying, camera tracking, photoreal CG integration, set extensions with matte painting projections, complicated removals, beauty work, and paint/rotoscoping. MAIN DUTIES: The Senior Compositor will take instruction and direction from Leads and VFX Supervisors to execute assigned shots in the most efficient and fastest way possible. They will balance the creative and technical aspects of each shot. They will meet task schedules and show deadlines. Other duties include: • Have an excellent understanding of the broader VFX pipeline including color space, workflow and industry-standard script layouts., • Ongoing communication with Production and Leads regarding schedules and deadlines., • Clean and efficient script organization / dependable and flexible., • A strong creative eye, artistic and problem-solving skills / extreme attention for detail., • Thorough understanding of compositing techniques., • Excellent people and communication skills., • Participate in creative and technical discussions., • Experience using Shotgrid., • Ability to work under tight deadlines., • Advanced knowledge of CG rendering and compositing multi-channel EXRs., • Excellent understanding of 2D and 3D tracking., • Highly proficient in using IBK, Primatte or Keylight., • Excellent knowledge of Nuke's 3D system., • Strong understanding of colorspace pipelines., • Experience with mocha, photoshop, other photo editing software is a plus. Diversity and Inclusion at Company 3: Creativity has diversity at its core. We celebrate the value of each unique experience by being dedicated to fostering the most diverse, equitable, and inclusive culture where every employee feels empowered and safe to show up to work as their full self. It is our policy to provide equal employment opportunities to all applicants and employees. Please inform the Company's HR representative if you need assistance completing any forms or otherwise need any accommodation or support in order to participate in the application process. *The listed pay range represents the lowest to highest range that we in good faith believe we would pay for this role at the time of this posting. This range may be modified in the future. An employee’s pay position within the range may be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, local currency exchange rates, performance, shift, travel requirements, sales or revenue-based metrics, applicable law, and business or organizational needs. The benefits for eligible part-time employees working 25 or more hours per week and full-time employees in the US include a comprehensive package of health, retirement, and insurance benefits and paid time off. The benefits for eligible project hires and part-time employees working less than 25 hours per week in the US include retirement, select insurance benefits, and where required by law, health benefits. For roles filled in Canada and other territories, local benefits plan offerings as adopted and amended from time to time will apply. The above compensation and benefits information is provided in accordance with various state, provincial, and local pay transparency laws. The Company’s recruitment processes will also be conducted in accordance with applicable law as adopted and amended from time to time. Both external and internal candidates can apply for this general submission posting through the Company’s Career Page. Powered by JazzHR FHRDh3x2yI

Job DescriptionAI Trainer - Advanced Python DevelopersAbout Prolific Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Python Developers to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay $40/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring • Python developer skills and verifiable professional experience as a Python developer, • A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool, • Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time, • A reliable and fast internet connection and access to a computer, • A willingness to self-declare your earnings, as our participants are self-employed, • A Paypal account to receive payment from our clientsWhat you'll be doing in the role, • Completing AI training tasks such as analyzing, editing, and writing Python, • Judging the performance of AI in performing Python-related prompts We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity. Links to more information on Prolific Website Youtube Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.

Job Description Groupon is a marketplace where customers discover new experiences and services everyday and local businesses thrive. To date we have worked with over a million merchant partners worldwide, connecting over 16 million customers with deals across various categories. In a world often dominated by e-commerce giants, we stand out as one of the few platforms uniquely committed to helping local businesses succeed on a performance basis. Groupon is on a radical journey to transform our business with relentless pursuit of results. Even with thousands of employees spread across multiple continents, we still maintain a culture that inspires innovation, rewards risk-taking and celebrates success. The impact here can be immediate due to our scale and the speed of our transformation. We're a "best of both worlds" kind of company. We're big enough to have the resources and scale, but small enough that a single person has a surprising amount of autonomy and can make a meaningful impact. About the Role: Groupon is rebuilding how it sells — from the ground up, with AI. The vehicle is Project Foundry: a production fleet of AI agents designed to give Groupon a parallel sales force and make every human rep sharper the moment they step into a deal. The fuel Foundry runs on is intelligence: which leads are worth pursuing, in what order, and why. That intelligence layer is what this role exists to build and own. Reporting directly to the CSO, the AI-Powered Growth Intelligence Associate owns Groupon's lead scoring architecture, routing logic, and pipeline forecasting. You work with one of the most data-rich commercial environments in e-commerce — proprietary consumer transaction signals, merchant health data, and years of conversion history. You don't configure Salesforce. You extract signal from it, build models on top of it, and use AI to turn raw data into the queue every rep opens each morning. There is no separate analytics team to hand off to. You build it, you own it. The intelligence layer you build is what Foundry's autonomous agents run on. When an AI agent sequences an outbound lead, reactivates a dormant merchant, or routes an inbound inquiry — it is working from your scoring model. When a rep opens their queue, the ranked order reflects your logic. You sit at the foundation of the AI sales architecture, not at its edge. North Star Turn Groupon's raw lead data into a predictive intelligence system — so every rep opens their queue and finds the right account, in the right order, with the right context, every single day. What You'll Do: • Own the lead scoring model — Design, build, and continuously refine the AI-powered scoring model that determines which leads get prioritised. Use firmographic data, behavioural signals, merchant health indicators, and conversion history to predict outcomes — not just activity., • Define and improve lead routing — Translate scoring intelligence into assignment rules that get the right lead to the right rep at the right time. Work with the Sales Operations team on implementation; you define the logic and own the outcome., • Build pipeline intelligence — Give the CSO and Sales leadership a live view of where pipeline is healthy, where it is at risk, and what is likely to convert this quarter., • Run experiments on live data — Test whether a new signal improves conversion. Measure the delta. Iterate. Every change has a before/after record. You do not ship and move on., • A degree from an Ivy League or equivalent top-tier university strongly preferred — data science, computer science, economics, statistics, or a quantitative field that trained you to think in systems. Up to 2 years of professional experience., • Hands-on fluency with Python and data tools — you have built models and connected data sources. You need to build a working pipeline without asking someone else to write the code., • Active use of AI tools — you have used LLM APIs (OpenAI, Anthropic, or equivalent) to build something real, and you know the difference between a demo and a deployed workflow., • Analytical rigor without a safety net — you build your own measurement frameworks. You do not accept a metric you cannot define or a result you cannot explain., • Builder first. Your instinct is to build before you ask, and to measure before you conclude., • AI-native, not AI-curious. You use AI the way a previous generation used spreadsheets: constantly, purposefully, and with measurable output., • Comfortable owning something fragile. You stabilize it, document it, then improve it., • Rigorous with ambiguity. When there is no clean data, you make a reasoned call, document your assumptions, and build a way to test whether you were right. How We Operate: At Groupon, we build on five principles: Extreme Ownership, Speed Over Comfort, Impact Obsessed, Simplify to Scale, and Disciplined. These aren't values on a wall — they're how we expect everyone to show up. In this role, these principles mean: • Extreme Ownership — If a rep is working the wrong leads, that traces back to your model. You own the diagnosis and the fix., • Speed Over Comfort — You ship a scoring model with 80% of the signals before waiting for perfect coverage. Every week without better lead intelligence has a real cost to pipeline., • Impact Obsessed — Lead-to-opportunity conversion is your north star metric. Everything else is a proxy., • Simplify to Scale — A routing algorithm no one understands won't be trusted. You build for clarity., • Lead-to-opportunity conversion rate — sustained improvement against baseline, tracked monthly., • Routing accuracy — percentage of leads assigned to the right rep on first touch., • Pipeline forecast accuracy — variance between model output and actual conversion, at CSO level., • Model iteration cadence — how quickly the scoring model is updated when signals degrade., • First working model in production by day 90, with a documented hypothesis and performance data. Compensation & Benefits: • Base salary: 90k-120k base + 10% ABP Bonus, • Location: Downtown Chicago (hybrid, 3 days a week in-office), • Alternate locations: Can be remote for the right fit, NYC strongly encouraged, • Benefits start the 1st of the month after your start date — Medical, Dental, Vision, Life Insurance, Disability, FSAs, EAP, 401(k) match, ESPP, flexible PTO, and more, • Employee Resource Groups & inclusive team culture Groupon is an AI-First Company We're committed to building smarter, faster, and more innovative ways of working—and AI plays a key role in how we get there. We encourage candidates to leverage AI tools during the hiring process where it adds value, and we're always keen to hear how technology improves the way you work. If you're passionate about AI or curious to explore how it can elevate your role—you'll be right at home here. Groupon's purpose is to build strong communities through thriving small businesses. To learn more about the world's largest local e-commerce marketplace, click here. You can also find out more about us in the latest Groupon news as well as learning about our DEI approach. If all of this sounds like something that's a great fit for you, then click apply and join us on a mission to become the ultimate destination for local experiences and services. Beware of Recruitment Fraud: Groupon follows a merit-based recruitment process without charging job seekers any fees. We've noticed an increase in recruitment fraud, including fake job postings and fraudulent interviews and job offers aimed at stealing personal information or money. Be cautious of individuals falsely representing Groupon's Talent Acquisition team with fake job offers. If you encounter any suspicious job offers or interview calls demanding money, recognize these as scams. Groupon is not responsible for losses from such dealings. For legitimate job openings (and a sneak peek into life at Groupon), always check our official career website at Groupon Careers

Job Description Capstone Integrated Solutions is a comprehensive services provider. Our team consists of outstanding professionals, highly experienced in designing, building, and supporting retail software. We see ourselves as a build-as-a-service provider who follows a repeatable business pattern that can be applied to a variety of platforms and verticals. Having a culture built on outcomes and delivery at the core of the business, Capstone is providing its customers with a complete suite of services for software development, system analysis, integration, implementation, and support, as well as the option to engage a single team to perform all the services they require. Who You Are and What You'll Do: Capstone Integrated Solutions is looking for an AWS Architect & Developer to join their growing Cloud Transformation team. As an AWS services partner, and also a developer of our own solutions that we bring to market, Capstone engages in a variety of projects with high profile clients utilizing cutting-edge technologies. If you have AWS cloud expertise, strong development skills, and the ability and desire to lead the design and implementation of cloud-native architectures, we'd love to hear from you. The Job: As an AWS Architect & Developer, you will engage with and enable Clients and Partners of Capstone to achieve extensive business value by migrating and modernizing technology landscapes to AWS and helping them accelerate innovation. You will collaborate with a multiple party team to design modern target architectures optimized for business agility, innovation, performance, resiliency, cost, and more. The ideal candidate must be able to: • Create, articulate, and position an innovative and compelling value proposition so that customer executives clearly realize the benefits and transformation value of migrating to AWS, • Define and execute technical migration and modernization strategies by working with highly technical teams, • Deliver modern architectures such as micro services and event driven architectures using managed services and cloud native capabilities., • Engage with development, infrastructure, security and IT operations teams at the customer and identify repeatable patterns and architectures for cloud migration, • Work closely with Client and Partner teams to streamline their delivery of business solutions on the AWS platform. This includes automation of builds and helping with adopting new cloud services, • Identify critical and emerging technologies, techniques, tools, data sources, and platforms in the infrastructure engineering field, including cloud-based solutions, that support and extend predictive modelling/machine learning solutions, • Must have at least two AWS certifications with at least one being a Specialty or Professional level., • Undergraduate degree or 7+ years of experience in software development, design, implementation, or consulting experience with distributed applications in lieu of no Bachelor's degree or equivalent military experience, • 5+ years' experience as a Cloud Software Developer, Solutions Architect, Enterprise Architect, or Lead Architect role leading the discovery, design, and development of full stack custom and commercial off the shelf applications., • 2+ years' AWS experience required with hands-on implementation of AWS Development, Architecture, Security, administration, and engineering., • Deep experience writing serverless code (Lambda) with NodeJS, Python or GO, • Experience architecting, designing, migrating workloads to the AWS cloud, • Experience in a range of migration discovery, profiling, migration automation, and operations technologies and tools, • Multi-tier distributed architecture experience within IT consulting, IT operations, application development or support to include the following: experience migrating, architecting, operating on premises or cloud-based solutions, or experience transforming legacy IT solutions, and working knowledge of software development tools and methodologies, • Experience providing best practice guidance on the architectural design across multiple applications and projects along with experience mapping business objectives to application/architectural requirements, • Experience evaluating cloud application requirements and making recommendations for implementation, deployment, and provisioning applications on AWS, • Experience with infrastructure as code/ using deployment automation technologies; Terraform and Cloud Formation, • Experience using Docker or other web server technology in a Linux environment, • Experience with Kubernetes (deploying/hosting runners, applications), • Experience with CI/CD systems, and integration with code dependency scans Capstone Integrated Solutions is an equal opportunity employer. We embrace and celebrate diversity and are committed to creating an inclusive and safe environment for all employees. Experience comes in many forms, and we're dedicated to adding new perspectives to the team. We encourage you to apply even if your experience doesn't perfectly align with what we have listed. We look forward to hearing from you. "Our Culture": At Capstone, the central principles that we all adhere to, and the glue that holds us together, are our keystones. Our four keystones are: • "A Customer Obsessed, Delivery Focused, Culture", • We're driven to exceed our customer's expectations by listening, leading, solving problems, and delivering what we promise, • We aim to be the most dependable and trusted partner serving our customers. TRUST = CONSISTENCY x TIME, • "A Culture of Learning and Sharing", • We value "Lifetime Learners"; those who are hungry, competitive, curious, and self-motivated in their pursuit of knowledge., • Personal and professional growth depends on teamwork and continuous learning. By sharing knowledge, skills, ideas, and effort, we benefit our customers, ourselves, and our communities., • We recognize that the thoughts, feelings, and backgrounds of others are as important as our own. Everyone has something to learn and everyone has something they can teach., • Knowledge and ability are valued. Sharing knowledge and helping others learn new capabilities is valued exponentially., • "A Culture of Growth and Scalability", • Growth comes from not establishing barriers in your role. "Cross functional skill sets are valued and help us deliver to our customers in a truly agile fashion. It comes with understanding that when asked to do something new, you will need support, have questions, and make some mistakes along the way., • The most elegant solution is a simple solution. Simple doesn't mean easy. It's often more difficult to break a complex problem down into simple, scalable terms. We don't appreciate, or value, over architected solutions or superfluous coding., • Time is one of our most precious commodities. Scalability implies being respectful of this and passionate about making the most efficient use of each and every one of our team members time., • "All Work is Strategic", • No matter how small a project or assignment appears, every single engagement is an opportunity for us to prove ourselves, build trust, and develop relationships that last and grow, • Every task, interaction, and commitment matters, • Remote work from home, • 401(k) w/matching, • Dental insurance, • Flexible spending account, • Health insurance, • Life insurance, • Paid time off Job Type: Full-time

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: Fixed Income Trading Expert Type: Flexible, project-based Compensation: $150–$180/hour Location: Remote Role Responsibilities • Evaluate and improve AI-generated outputs related to bond pricing, yield curves, and spread analysis., • Design realistic trading scenarios and edge cases based on real-world market behavior., • Review model reasoning on trade structuring, execution decisions, and risk management., • Provide feedback on accuracy, market intuition, and institutional realism., • Annotate datasets and create high-quality training examples for financial AI systems. Must-Have • 3–10+ years in fixed income trading, sales & trading, or portfolio management., • Day-to-day experience executing fixed income trades., • Hands-on experience using Tradeweb or similar electronic trading platforms., • Strong familiarity with RFQ workflows, price discovery, and order management systems., • Experience with quant tools (Python, Excel modeling)., • Familiarity with Bloomberg, MarketAxess, or similar platforms., • Upload resume, • AI interview based on your resume

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: Professors in Finance, Accounting, Law Type: W2 Employment Compensation: $55–$85/hour Location: Remote Commitment: 30+ hours/week Role Responsibilities • Design challenging, real-world domain-specific problems for agentic tasks. Target core capability loss failures in frontier AI models., • Integrate problems into an Agentic development environment using Python. Prepare detailed instructions, overviews, and golden solutions., • Evaluate cross-model performance on tasks. Analyze and classify failures as logical reasoning gaps., • Identify tasks where the model fails all tests. Extract core capability loss patterns from agent trajectories. Must-Have • Current or retired professor in Finance, Accounting, Law, etc., • Degree in finance, accounting, law, or relevant field., • Ability to engage reliably for at least 30 hours/week during weekdays., • Basic ability to work independently and manage time., • Upload resume, • AI interview based on your resume

Job Description We are seeking a highly skilled and motivated Quantitative Researcher to join our Futures team. This role focuses on researching and developing quantitative models for trading and risk management within the futures markets. The ideal candidate will have expertise in financial modeling, statistical analysis, and a deep understanding of market dynamics. Responsibilities • Design, implement, and optimize trading strategies to predict futures market trends using extensive financial data and a wide array of trading signals., • Parse and analyze large datasets to identify actionable alpha signals and develop strategies for futures trading., • Explore and apply cutting-edge academic research in quantitative finance to assess, refine, and enhance the profitability of trading strategies., • Continuously innovate and improve existing models by integrating new data sources and advanced techniques to boost performance and scalability., • BS/MS/PhD degree in a STEM field., • 2+ years of experience in quantitative research, preferably within futures markets., • Passion for machine learning., • Proficiency in programming languages like Python and statistical modeling., • Strong problem-solving skills., • Ability to work effectively both independently and as part of a team. Benefits • Competitive salary, plus bonus based on individual and company performance., • Collaborative, casual, and friendly work environment while solving the hardest problems in the financial markets., • PPO Health, dental and vision insurance premiums fully covered for you and your dependents., • Pre-Tax Commuter Benefits – making your commute smoother. Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026. The base salary for this role is $120,000 to $150,000, and will be determined based on the candidate’s educational background and professional experience. Base salary is one component of Trexquant’s total compensation package, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer

Job Description Responsibilities: • Design, build, and deploy end‑to‑end agentic AI solutions, spanning frontend interfaces, backend services, and autonomous agent workflows., • Develop autonomous and semi‑autonomous agents capable of planning, task decomposition, tool selection, execution, and self‑correction., • Implement agent orchestration logic using modern agent frameworks, enabling multi‑step reasoning and coordinated agent behavior., • Design and maintain RAG pipelines, embeddings, vector databases, and memory/state management for contextual grounding., • Build secure and scalable backend APIs and services to support agent execution, tool calling, and workflow automation., • Develop user‑facing interfaces for agent interaction, monitoring, and feedback using modern web frameworks., • Integrate agents with enterprise systems and external tools via APIs, function calling, and workflow orchestration., • Deploy, monitor, and optimize agentic systems on cloud platforms, ensuring reliability, observability, performance, and cost efficiency., • Implement guardrails, evaluation, and monitoring to reduce hallucinations and ensure safe, predictable agent behavior., • Collaborate with cross‑functional and global teams to translate business problems into production‑ready agentic solutions., • Engage directly with stakeholders and clients, communicating agent capabilities, limitations, and solution outcomes clearly., • Bachelor's or Master's degree in Computer Science, AI, Engineering, Data Science, or equivalent hands‑on industry experience., • Proven experience delivering end‑to‑end agentic AI solutions, covering frontend, backend, and autonomous agent workflows., • Hands‑on expertise with agentic frameworks such as LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar., • Strong experience building autonomous or semi‑autonomous agents with planning, task decomposition, tool use, and self‑reflection., • Advanced prompt engineering skills for agent behavior, planning, constraints, and guardrails., • Practical experience with RAG pipelines, embeddings, vector databases, and agent memory/state management., • Ability to enable agents to take actions via APIs, function/tool calling, and workflow orchestration., • Strong backend development skills (Python/Java) and API‑driven system design., • Frontend experience using modern web frameworks (e.g., React, Angular) for agent interaction and monitoring., • Experience deploying agentic systems on cloud platforms (Azure, AWS, or GCP) with CI/CD, observability, and cost awareness., • Proficiency working with structured and unstructured data, including ingestion and retrieval optimization., • Experience integrating AI solutions into enterprise environments with security and access controls., • Strong client‑facing, communication, and problem‑solving skills., • Comfortable working in fast‑paced, evolving AI environments and global, cross‑functional teams.

Job Description Remote | United States $250,000 – $315,000 + Token + Performance Bonus AI | DeFi | Data Infrastructure | Automation Systems Snapshot Join a high-impact AI + DeFi venture incubated by one of the earliest and most influential protocols in the Ethereum ecosystem ($8B+ TVL). This role sits at the center of a major transformation — building an AI-powered governance engine designed to reshape how decentralized systems operate. This is not just backend engineering — this is architecting the foundation of AI-native governance systems at scale. Ideal Candidate Profile • Has built early stage systems in data / AI / backend-heavy environments, • Thinks in systems, not just services, • Comfortable leading in high-ambiguity environments, • Strong ownership mindset with execution speed What You'll BuildPhase 1 — Automation & Data Infrastructure Workflow automation (Notion database sync, governance pipelines) * Data pipelines across: * Blockchain nodes * DEX APIs * Lending protocols * Risk analytics data platform (accurate, historical, queryable) * Monitoring, validation, and deterministic systems Phase 2 — AI-Native Platform Foundations • AI agent infrastructure (execution environments, guardrails, provenance) Knowledge-work interfaces: * Tree explorers * Diff systems * Cognitive UI layers * Event-sourcing architecture + cryptographic proof systems * Human + AI collaboration tooling What You'll Do * Lead architecture and development of core platform systems * Build and scale automation engines + data infrastructure * Drive projects end-to-end: * Design build deploy iterate * Define engineering standards: * Testing * Observability * Reliability * Operate in a fast-moving, ambiguity-driven environment Tech Stack • TypeScript · Node.js · PostgreSQL · React, • Python / Go / Rust / Java, • APIs · Data Pipelines · AI Integrations What We're Looking For 5+ years building production-grade backend systems * Strong TypeScript / Node.js expertise (non-negotiable) * Advanced SQL + relational data modeling (PostgreSQL preferred) * Experience building data pipelines with third-party APIs * Proficiency in at least one: Python, Go, Rust, or Java * Proven ability to lead technical projects end-to-end Bonus: * AI/ML or agent-based systems * DeFi / blockchain experience * Event sourcing / complex system design * Open-source contributions Compensation & Benefits * $250,000 – $315,000 base * Token-based incentives * Performance bonuses * Work on systems with real-world financial impact Location & Eligibility Remote (United States only) * Must be US-based & authorized to work * Fully distributed, async-first environment Why This Role • Operate at the intersection of AI + DeFi + data infrastructure, • Build AI-augmented tools for knowledge work and governance, • Work on systems with real economic and protocol-level impact, • Join at a early stage / transformation phase with high ownership

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 As a Senior Engineer in Compute Services, you will be responsible for building fault-tolerant and reliable infrastructure to support both our internal processes and our customer platform. If you're passionate about GitOps, KubeOps, DevOps—really, all the ops—this role could be a great fit for you! • Design, develop, and maintain automated tooling to provision Kubernetes control planes on bare-metal, • Use Python, Golang, and Bash to create tooling and go operators, • Perform day 2 lifecycle tasks and maintenance on running clusters, • Identify gaps and implement fault-tolerant architectures, • Optimize reliability using the Grafana ecosystem, • Design automated testing to validate build quality and stability, • Proven experience provisioning Kubernetes using tools such as kubeadm, Cluster API, Kubeception, Kubespray, or similar, • Demonstrated ability debugging complex kubernetes cluster issues and carrying out upgrades, • Proficiency in Golang, Bash, and Python, • Advanced Linux OS troubleshooting skills, • Extensive experience with Ansible, • Advanced DevOps experience (e.g., GitLab CI, GitHub Actions), • Demonstrated ability to collaborate effectively on shared codebases, • Excellent documentation skills and high attention to detail, • Strong analytical and problem-solving abilities, • Bare-metal OS provisioning experience, • Kubernetes operator coding experience, • Advanced Linux networking expertise, • AWX/Ansible tower knowledge Why CoreWeave? 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 $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Department Overview: The client services team includes support, customer success and solutions engineering. The team is responsible for generating value for our customers and sustaining revenue from clients. The team ensures that clients are using InfoSum to its full potential, providing necessary support and representing client opportunities and challenges internally. Sub Department overview: Solutions Engineering is responsible for technical excellence in the planning and execution of client use cases powered by InfoSum. This team is aligned to support both the Sales team in pre-sale use case validation and technical scoping, as well as Customer Success in post-sale support of client execution and expansion. Solutions Engineering is a client-facing team that also operates independently to build partnerships with technical contacts at clients, resolve technical barriers to success and empower clients and internal teams with custom tools that accelerate adoption of InfoSum’s complete technology offering. Core Responsibilities: • Collaborate with sales and product management teams to understand customer requirements and business objectives, • Design customized technical solutions that meet customer needs and align with company capabilities and product offerings, • Develop solution architectures, diagrams, and technical documentation to communicate design specifications and requirements effectively, • Configure, customize, and deploy technical solutions, leveraging company products, APIs, and third-party integrations as needed, • Conduct solution demonstrations, proof-of-concepts, and pilot projects to showcase functionality and validate solution feasibility, • Collaborate with software development teams to ensure seamless integration of customizations and enhancements, • Serve as a technical advisor and subject matter expert, providing guidance and support to customers throughout the solution lifecycle, • Conduct technical workshops, training sessions, and knowledge transfer sessions to empower customers to maximize the value of their solutions, • Troubleshoot technical issues, identify root causes, and implement effective solutions to resolve customer challenges, • Stay abreast of industry trends, emerging technologies, and best practices to continuously enhance solution offerings and capabilities, • Understand the advertising marketplace in terms of data collaboration and ad tech/mar tech, • Provide feedback to product management and development teams to inform roadmap prioritization and feature enhancements, • Contribute to the development and documentation of internal processes, tools, and methodologies to streamline solution delivery and support, • 3-5 years of experience in solutions engineering, technical consulting, or a related position within the ad-tech, mar-tech, or data technology space, • Expert knowledge of solutions engineering and associated departmental operational excellence, • Strong knowledge of sales and post-sale practices, • Experience in a query language (SQL preferred), • Experience in a scripting language such as Python, • Experience in ETL operations with expertise in at least one of these: GCP, Snowflake, AWS, Azure, Databricks, • Analytical mindset, • Process-oriented, • Ability to function and succeed in ambiguous and high-stakes environments, • Persuasion, consensus building, and negotiation, • Excellent communication skills and ability to present, • Ability to establish credibility, trust, and collaborate across teams, • Understanding of key value and revenue drivers, • Empathy for customers and strong adherence to quality As well as working as part of an amazing, engaging and collaborative team, we offer our staff a wide range of benefits to motivate them to be the best they can be! Here's an overview of everything we offer right now! • Competitive commercial bonus plan, • Up to $130k base salary (based on experience), • Healthcare benefits, • 401k, • Mental wellbeing and support For this role, we would ideally like for someone to be based locally and come into the office 2-3 times a week for team syncs, however, if you require more flexibility, we can discuss a solution that works for everyone.

Job Description Location: New York / Hong Kong / Shanghai / Shenzhen / Beijing Function: Quantitative Research About the Role We are partnering with a rapidly growing, research-driven quantitative investment fund with a global footprint. The fund specializes in high- and mid-frequency trading strategies across equities and futures markets. Researchers play a central role in driving alpha discovery, end-to-end model development, and strategy optimization within a lean and highly collaborative environment. This is an opportunity for someone who wants full ownership of the research lifecycle, access to diverse datasets, and the chance to make a direct impact on trading strategies in a platform that values intellectual rigor and innovation. Responsibilities * Conduct quantitative research to identify alpha signals across equity and futures markets. * Build, test, and optimize statistical and machine learning models for trading strategies. * Analyze large, diverse datasets and extract actionable insights for mid- to high-frequency domains. * Collaborate closely with a research-focused team to drive the implementation of new models and strategies. * Stay at the forefront of academic research and translate it into practical trading applications. Requirements * Bachelors, Masters, or PhD in Statistics, Mathematics, Physics, Computer Science, or related quantitative field. * Proficiency in 1 programming language: Python (preferred), C++, MATLAB, R, or C#. * Strong analytical skills, intellectual curiosity, and structured problem-solving capability. * Ability to synthesize academic research and apply it to practical quantitative problems. Preferred Qualifications * Competition awards (e.g., IMO, IPhO, ACM-ICPC) or top-tier academic achievements. * Publications in peer-reviewed journals or conferences in relevant fields. * Prior experience in quantitative research, trading, or data-intensive environments is a plus. Why This Role? * Research Ownership: Lead projects end-to-end, from alpha discovery to strategy deployment. * Global Exposure: Work with a team across US and Asia offices. * Innovation-First: Access to diverse datasets and a culture of continuous R&D. * Career Growth: Lean teams allow high-impact contributions early in your career.

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are seeking an exceptional Senior Data Scientist to work on the core systems that power our product, including but not limited to provider recommendation and population health algorithms, A/B testing for engagement and healthcare outcomes, and product analytics. You'll play a pivotal role in shaping how we use data to steer members to better healthcare outcomes, partnering with Product Managers and Engineers to deliver high performing systems at scale. Garner's member app guides members through their healthcare journey to ensure they receive high quality care while ensuring provider affordability and availability. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Build data-driven algorithms that power Garner's recommendation engine, • Deliver systems that proactively identify high-risk members and enable timely, customized care navigation interventions, • Own the KPIs and metrics that we use to measure the success of our member activation efforts, engagement tactics, and doctor recommendations, • Develop a strong understanding of the healthcare economyThe ideal candidate has:, • 3+ years of experience using Python and SQL to build production, data-driven algorithms, • Familiarity with optimization algorithms and applied machine learning techniques, including recommendation systems and gradient-boosted models (e.g., XGBoost), • Strong ability to match the right tools and techniques to real-world problems., • Strong communication skills and the ability to synthesize complex information for both business and technical stakeholders Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target salary range for this position is $200,000 - $240,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at .

Job DescriptionLLM Applications Engineer Location: New York | San Francisco | Munich | London (In-Person) Employment Type: Full-Time Base Salary: $130,000 – $175,000 Overview We are hiring an LLM Applications Engineer to build and deploy production-grade LLM-powered systems. This is a hybrid AI infrastructure and product engineering role. You will design and implement RAG pipelines, vector retrieval systems, agentic workflows, and full-stack LLM-powered product experiences. The role requires hands-on ownership across backend Python systems and React-based frontend applications. This position is for engineers who move beyond prototypes and ship robust, scalable LLM systems into production. What Youll Do • Design and deploy production-grade RAG (Retrieval-Augmented Generation) pipelines, • Build and optimize vector retrieval systems, • Implement agentic LLM workflows and orchestration layers, • Develop full-stack product experiences powered by LLMs, • Design clean, scalable APIs and asynchronous processing systems, • Connect LLM systems to structured data sources, including SQL databases and data engines, • Collaborate closely with product and engineering teams to ship LLM-first featuresWhat Were Looking ForCore Requirements, • 2+ years of full-stack web development experience, • Proficiency in Python and JavaScript or TypeScript, • Experience with LLM orchestration frameworks such as LangChain, LlamaIndex, or Haystack, • Hands-on experience building production RAG pipelines and retrieval systems, • Strong API design and asynchronous processing fundamentals, • Ability to operate across backend infrastructure and frontend UI, • Computer Science degree from a top-tier programStrong Plus, • Built and deployed RAG pipelines in live production environments, • Experience working with scientific, technical, or research datasets, • Strong product mindset with LLM-first feature development, • Have only academic or prototype-level LLM exposure, • Have exclusively backend-only or frontend-only experience, • Lack experience with vector databases or retrieval systems, • Have not deployed LLM systems into production environmentsWhat Success Looks Like, • Production-grade RAG pipelines running reliably at scale, • Clean, well-architected retrieval and orchestration systems, • Seamless integration between LLM backends and frontend product experiences, • Measurable product impact from LLM-powered features You will sit at the intersection of AI infrastructure and product, building systems that combine retrieval, orchestration, and real-world user interfaces. If you want to ship meaningful LLM-powered products — not just experiment with models — this is an opportunity to own that architecture end to end.

Job Description About Us: Founded more than 15 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 450 people operating throughout North America and in Europe. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser. Responsibilities: • Work side by side with senior traders, • Learn about proprietary methodologies and trading systems that support an established trading business, • Real-time risk management in the form of trade entry and risk layoffs, • Build and maintain trading models, • Enhance existing trades; identify and pursue new opportunities, • Liaise between trading group, internal company departments, and OTC relationships, • 1+ years of experience in a trading role, • A degree in Mathematics, Statistics, Economics, Engineering or related field, • Ability to work night shift, • Strong work ethic and ability to learn quickly in a fast paced, high-pressure environment, • Detail oriented, organized and diligent, • Strong understanding of math, probability and statistics, • Proficient with Excel and VBA, • Proficient with SQL, Python, and statistical modeling; other programming experience is a plus DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV's posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

Job Description Job Title: Python Game Developer (Panda3D) Job Type: Contract Location: Remote Job Summary: Join our customer's team as an expert Pyhton Game Developer (Panda3D), where youll contribute to cutting-edge AI training projects using one of the most robust and flexible open-source game engines. This specialized role focuses on harnessing Panda3Ds capabilities to deliver immersive, high-performance simulations compatible with both legacy and contemporary hardware. Key Responsibilities: Design, develop, and optimize 3D game simulations and environments using Panda3D for AI training applications. Collaborate with multidisciplinary teams to transform requirements into technical solutions. Implement, maintain, and debug Python and C++ codebases integrated with Panda3D. Contribute to version control workflows using GitHub to ensure smooth project collaboration. Ensure cross-platform compatibility and performance across diverse hardware configurations. Document architectural decisions, code, and processes clearly to support collaborative development. Actively participate in code reviews, brainstorming sessions, and team meetings, emphasizing exceptional verbal and written communication. Required Skills and Qualifications: Proven, hands-on experience developing with Panda3Dexperience with similar engines does not substitute. Advanced proficiency in Python and C++ programming languages. Strong command of GitHub for code management, branching, and pull requests. Deep understanding of 3D graphics pipelines, simulation logic, and cross-platform development. Exceptional written and verbal communication skillsclear documentation and collaboration are critical. Ability to work independently in a remote environment, meeting deadlines with minimal supervision. Demonstrated attention to detail and a problem-solving mindset. Preferred Qualifications: Prior game development experience for AI, simulation, or training purposes. Familiarity with optimizing 3D assets for performance across a range of hardware. Background in collaborative, distributed Agile environments.

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. We are seeking a Machine Learning Engineer to join our Salt Lake City team and help shape the next generation of AI-driven defense and aviation systems. In this role, you’ll go beyond building models — you’ll design, deploy, and scale AI solutions that directly support mission-critical operations. This is not a typical ML position. You’ll work at the intersection of cutting-edge research and real-world application, creating models and infrastructure that deliver measurable improvements in reliability, efficiency, and performance. If you’re motivated by solving complex technical challenges and want your work to make a tangible impact on national security and aviation safety, we want to hear from you.What You’ll Do • Develop, train, and optimize ML models for large-scale applications., • Build pipelines for data ingestion and model deployment., • Work with engineers and subject-matter experts to refine solutions., • Conduct testing and validation to ensure reliability., • Co-author technical reports on data analysis and model performance., • Continuously improve ML infrastructure and workflows., • Collaborate with customers to identify new data sources and the industrial processes they will support; some customer travel may be required.What We’re Looking For, • 4+ years of machine learning experience, with strong Python skills and proficiency in frameworks such as PyTorch or TensorFlow., • Proven ability to deploy ML models into production and work with large, complex datasets., • Hands-on experience with MLOps tools and practices, including Kubernetes, MLflow, and CI/CD pipelines., • Experience building and managing cloud infrastructure as code (AWS, Azure, or GCP) with tools such as Terraform or Ansible. 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 Description Welcome to the future of cloud networking and security! Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato's unique technology inspired a brand-new product category, later named "SASE" by Gartner and a market expected to reach $28.5 billion by 2028. This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don't miss it! About the Role We are seeking a highly technical and hands-on Enablement Lab Engineer to design, build, and scale our cloud-based enablement lab platform. In this role, you will architect and deliver browser-accessible, on-demand lab environments to spin up complete networking and cybersecurity environments with the click of a button. You will work at the intersection of cloud automation, networking, SaaS integration, and front-end orchestration — transforming infrastructure into a seamless self-service enablement experience. The Product Enablement team's mission is to unlock our product's full potential through engaging learning experiences. You'll be architecting and building the foundational lab environment that enables us to do this. The lab product you create will be used by various audiences, including bite-sized labs delivered direct to end users and partners as part of sales enablement, and a modular lab environment used by Sales Engineers and internal enablement teams. To scope requirements and get feedback, you will collaborate within our team of content developers and data engineers, as well as product management, engineering, sales engineers and other enablement teams. To develop and deliver a finished product that meets the requirements, you will collaborate closely with our data engineers and content developers. This role combines elements of: * Lab Development Engineer (hands-on training environments) * Cloud Enablement Engineer (IaC, automation, platform reliability) * Network/Security Engineer (real-world infrastructure configuration) What You'll Do Design & Build Enablement Lab Platform * Architect and develop a browser-accessible lab front end (e.g., Guacamole or similar remote access technologies). * Build backend orchestration systems that allow users to: * Spin up/down VMs on demand * Deploy networking components * Reset environments * Enable/disable modular data scenarios * Create a scalable, multi-tenant lab environment for parallel user access. Cloud Automation & Infrastructure * Design and automate lab provisioning in AWS and/or Azure. * Use Terraform (or similar IaC tools) to provision: * Virtual machines * Networking infrastructure (VPC/VNet, routing, security groups) * IAM roles and access controls * Build reusable infrastructure modules and templates. * Implement automation for environment lifecycle management (provisioning, teardown, reset). Networking & Security Configuration * Configure VPN clients and secure connectivity between SaaS accounts and lab infrastructure. * Deploy and configure: * Virtual networking components * Firewalls and routing policies * Physical networking gear (switches, Wi-Fi access points, etc. as needed) * Windows VMs * Troubleshoot TCP/IP, DNS, routing, NAT, and policy configuration issues. SaaS & API Integration * Integrate lab orchestration with SaaS APIs to: * Provision tenant accounts * Configure policies * Enable features * Bind accounts to lab infrastructure * Implement secure authentication and automation workflows. Validation, Monitoring & Reliability * Develop validation scripts and health checks to verify: * VM health * Network connectivity * SaaS configuration state * Implement logging and error handling across the lab stack. * Build automation to detect and remediate failed lab deployments. * Optimize lab reliability, performance, and scalability. What You Bring Required Qualifications * 10+ years of experience in the Networking or Security industry * 5+ years of experience in cloud, networking, or automation engineering * Experience with building demo, training or enablement lab environments * Strong programming skills in Python (required). * Experience with backend development (Python, Go, Node.js, or similar). * Expert-level with Azure. * Deep experience with Terraform or other Infrastructure-as-Code tools. * Deep working knowledge of Linux command-line environments, including networking tools (tcpdump, curl, ip, netstat), package management, and system services * Strong PowerShell scripting experience for automation of Windows systems, VM provisioning, and SaaS/API interactions * Strong understanding of: * TCP/IP networking * VPN configuration * Firewalls and routing * SaaS architecture concepts * Experience building automated provisioning pipelines. * Experience integrating REST APIs into automation workflows. Preferred Qualifications * Networking or Security certifications (e.g. CCNA) * Experience with browser-based remote access platforms (e.g., Apache Guacamole). * Experience with GraphQL APIs * Familiarity with cybersecurity tools and secure network architectures. * Experience with containerization (Docker). * Experience building internal platforms or developer enablement tools. Why This Role Is Unique You won't just manage infrastructure — you'll build a modular lab product used by a range of audiences, including customers, partners, Sales Engineers and internal enablement teams. Your work will directly influence how effectively the field is able to communicate the technical value of our products to customers, using real-world scenarios. Cato provides a competitive salary and comprehensive benefits plan. Benefits for this role include health/vision/dental insurance, 401(k), stock options, Health Savings/Flexible Spending Accounts, flexible time-off, paid parental leave and disability benefits. As an EEO/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status. #LI-GG1

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are seeking an exceptional Data Scientist II to join our Central Data team. This role will report to the Director, Data Science & Analytics. This role is critical to shaping Garner's Product & Growth strategy - from evaluating the impact of our products to building models that drive engagement. You will collaborate with data, product & engineering to improve the effectiveness of Garner's member facing product – e.g., answering questions like, "what features of our product drive engagement?", "What is the best time of day and channel to outreach to members?", or "What data concepts do we need to build out to improve our understanding of what drives someone to engage with Garner?" Your work will directly impact our member-facing products and inform strategic product decisions. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Identify and measure success of product efforts through goal setting, AB testing, forecasting, and monitoring of key product metrics to understand trends, • Own projects end to end including problem definition, implementation, validation, & iteration, • Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions, including AI & machine learning models, • Collaborate cross-functionally with data scientists, product leaders, engineering & operations teams to shape how we define product & member engagement metrics, apply statistical rules, and model member behavior, • Synthesize & present your work to Garner leadership to drive company level decisions, • Contribute to improving data science practices, tooling, and documentationWhat you will bring to the team:, • 2+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both), • 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data, • 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing, • Excellent verbal and written communication skills, with ability to present information and analysis results effectively, • A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders, • A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success, ideally in a startup environment Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target salary range for this position is $158,000 - $175,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at .

Job Description Job Title: Senior Data Scientist Location: United States (Can be based anywhere) Travel: As needed About the Role We are looking for a Senior Data Scientist to join a high-performing analytics team working on complex, real-world problems across multiple industries. In this role, you will collaborate with cross-functional teams to design, build, and deploy advanced analytics and AI solutions that drive meaningful business impact. You'll work on a variety of projects, ranging from optimizing operations to building machine learning and AI-driven applications, while continuing to grow your technical and problem-solving skills. Key Responsibilities • Translate business problems into data-driven solutions, • Perform exploratory data analysis and identify key insights, • Build, test, and deploy machine learning and AI models, • Develop and evaluate models using statistical techniques and experimentation (including A/B testing), • Work with modern AI approaches such as large language models (LLMs) and retrieval-augmented generation (RAG) when applicable, • Deploy solutions via APIs or data pipelines and monitor performance over time, • Collaborate with engineers and product teams to integrate solutions into applications, • Ensure models are accurate, explainable, and scalable, • Python and SQL for data science and analytics, • Distributed computing tools like Spark/PySpark, • Cloud platforms such as AWS, Azure, or GCP, • Tools like Airflow, Databricks, Docker, and Kubernetes, • Bachelor's degree with 8+ years of experience, or Master's/PhD in Computer Science, Statistics, Mathematics, or a related field, • Experience applying machine learning to real-world datasets, • Strong programming skills in Python and SQL, • Experience with large-scale data processing (e.g., Spark), • Familiarity with cloud environments and modern data tools, • Strong problem-solving and analytical thinking skills, • Excellent communication skills with the ability to explain technical concepts clearly, • Exposure to a wide range of industries and use cases, • Opportunities to work on cutting-edge AI and data science projects, • A collaborative, fast-paced, and learning-focused environment, • Strong mentorship and career growth opportunities

Job Description Hi, we're Oscar. We're hiring a Associate, Member and Provider Optimization to join our Member & Provider Services Optimization 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: You will be responsible for working cross functionally with business and technical Oscar stakeholders and representing the needs and interests of the department in company wide strategic initiatives and in solving business problems related to internal processes. You will lead the design, optimization, and implementation of processes and improvements to operations in support of achieving organizational goals. This requires collecting and documenting business requirements, building and managing project plans, documenting key project decisions, managing project governance, applying frameworks, analyzing data, and developing and communicating risk mitigation strategies across disparate initiatives and stakeholders at the same time. You will report into the Associate Director, MPSO - Optimization. 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: $93,600 - $122,850 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses. Responsibilities: • Leads the end-to-end management of cross-functional implementations/projects, including project plan creation, stakeholder engagement, managing cross-functional relationships to drive collaboration, edge case mitigation, and on-time completion., • Evaluates overall departmental performance by creating, gathering, analyzing and interpreting data and metrics as well as assisting in development of departmental metrics and implementation of mitigation strategies, • Collaboratively works with all relevant internal and external stakeholder groups to formulate proactive implementation, communications, and program strategies for successful change management and risk mitigation initiatives, • Mentors team members and promotes colleagues' growth and professional development, • Compliance with all applicable laws and regulations, • A bachelor's degree or 3+ years commensurate experience, • 3+ years of work experience in operations or health insurance, • 3+ years of experience with end to end project management, • Bachelor's degree in Engineering, Business Administration, or other related field, • 2+ years of experience using data software such as Excel, SQL, Python or other data analytics tools, • experience in Java, HTML, or similar coding languages used to structure web pages and content 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 Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales — from molecules to organisms — enabling us to predict, understand, and program living systems in ways never before possible. Output Biosciences is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI and biology, and backed by top VCs including Y Combinator. As a Machine Learning Research Scientist, Interpretability, you'll work alongside our founders and team members to develop AI systems capable of processing and reasoning across multiple biological data modalities simultaneously. * You will develop specialized methods for understanding our biological reasoning models, reverse-engineering how they represent and process complex biological information. * You will design and conduct experiments to uncover interpretable features across biological scales. * You will address unique challenges in biological model interpretation, such as disentangling the multi-scale, hierarchical representations of biological systems * You will build biology-specific visualization tools that can map model activations to meaningful biological concepts. Who We're Looking For: * You have a Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Physics, or a relevant technical field. * You have a PhD with 2 years of research experience, or a Bachelor's degree with 4+ years of research or industry experience in Deep Learning, Artificial Intelligence, or other relevant fields. * You have a strong publication record in top-tier AI conferences or journals (e.g., NeurIPS, ICML, ICLR). * You are proficient in Python and have expertise in at least one major deep learning framework (PyTorch, TensorFlow, or JAX). Who You Are: * You have excellent problem-solving skills and the ability to quickly adapt to new challenges. * You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and taking pride in solving them. * You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty. * You have excellent communication skills and can clearly articulate complex technical concepts. * You are motivated by making a real impact and are committed to tackling problems of significant consequence with determination and creativity. Bonus points: * You have experience applying machine learning to biological or chemical problems. * You have knowledge of physics, molecular biology, chemistry, computational biology, bioinformatics, cheminformatics, or related fields. * You have experience with multi-modal learning. * You have contributed to open-source machine learning projects/ * You have experience in developing efficient code in C/C++. Our Values ❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions. 🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards. 🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community. 📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner. 🎮 Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling. What We Offer * We encourage new and different ideas, creativity and contrarian thinking * Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you * You own your day-to-day management. What we care about is that we all hit our milestones * Competitive salary and equity in a growing, well-funded startup * Excellent medical, dental, and vision coverage Compensation Range: $120K - $250K

Job Description Software Engineer (Applications) Strong preference for candidates based in New York City Replica provides data about the built environment and ways people interact with it. With better data, human-context and an intuitive design, Replica helps public and private sectors make informed, effective, and responsive decisions. By showing how people live, move and work, we contextualize hard choices, allowing our clients to see around corners and understand the trade-offs surrounding their decisions. Whether for a city planner increasing public transit to underserved neighborhoods or for a grocery chain evaluating where to open a new location, Replica’s insights lets clients make more informed, people-centered decisions. We spun out of Alphabet in 2019 and recently secured series B funding from venture firms including Founders Fund, Innovation Endeavors, Sidewalk Labs, Firebrand Ventures, and Revolution’s Rise of the Rest Seed Fund. Today, we are a team of 34 employees with offices in San Francisco, New York and Kansas City. We value our customers, believe in being resourceful, and work in service of each other to scale our product. As we build our team, we are committed to pursuing and bringing together a diverse workforce and creating an environment of inclusion. We value our differences and we encourage all to apply. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, Veteran status, or any other status protected by the laws or regulations in the locations where we operate. The Role We’re hiring a software engineer who can work directly with users to understand their needs and help translate those into product solutions. This role is both technical and collaborative: you’ll meet with customers to learn about their workflows and challenges, then work with the internal team to build and implement features that address them. This position is a good fit for someone who wants to work on user-facing tools that solve specific, practical problems — and who’s comfortable switching between code and customer conversations Responsibilities • Talk directly with customers (planners, engineers, analysts) to understand how they use the product and where it falls short, • Translate customer feedback into technical requirements, wireframes, or implementation ideas, • Design, build, and maintain React Components and RESTful APIs which use spatial context to efficiently query and aggregate nationwide geospatial and temporal data., • Collaborate with product, design, and engineering teams to scope and deliver new features, • Support the iteration and refinement of features based on user testing and feedback, • Participate in on-call rotation; investigate and resolve production problems as they arise. QualificationsRequirements:, • Experience in web application development using a modern JavaScript client framework., • Experience working in or with cross-functional product teams, • Ability to communicate clearly with both technical and non-technical audiences, • Demonstrated ability to work independently and follow through on projects, • Experience gathering requirements from users or stakeholders and incorporating them into product developmentNice to Have:, • Familiarity with tools like Figma, • Prior experience in early-stage product development or prototyping, • Experience working with government/public agency customers In this role, you'll help bring these workflows to life by translating designs into fast, reliable front-end code — directly shaping the tools our customers rely on to make high-stakes, real-world decisions. What We Value • We work in the service of others, • We understand that talent + diversity + curiosity + relentlessness wins, • We believe walking > talking, • We operate with thoughtful urgency, • We communicate openly and directly, • We build products people useBenefits, • Our people! We work as a team and are excited to contribute to city planning, • Competitive salary based on experience and potential for impact, • Equity at an early stage startup, • Health benefits including medical, dental, vision, and FSA options, • 401k account + employer safe harbor contribution, • Offices in San Francisco, CA, New York and Kansas City, • Replica is committed to fair and equitable compensation practices., • The base salary range for this position is $120K - $220K + offered equity. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to relevant qualifications, depth of experience, skill set, certifications, training, education, and specific work location. The compensation packages may be adjusted based on the candidate’s work location, due to differences in the cost of living for the given location. Our position titles may also span multiple career levels., • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions., • To perform this job successfully, an individual must be able to perform each essential function satisfactorily., • The requirements listed are representative of the knowledge, skill and/or ability required., • Ability to operate at both a strategic/conceptual level and at a detailed, operational level metrics driven; highly disciplined, • Must have strong interpersonal skills, maturity and good judgment and be capable of communicating with a diverse range of individuals, • A hands-on, action-oriented approach that fits well with the entrepreneurial, fast-paced culture, • Engaging leadership style that builds and sustains credibility with colleagues, clients and other stakeholders Powered by JazzHR j2uyOSHstC

Job Description We’re hiring a Customer Solutions Architect to partner with our customers on all things functional and technical to drive adoption & value realization from their investment in Starbridge. This is a hands-on, high-impact role where you’ll define processes, drive customer adoption, and ensure long-term success. You’ll work closely with the CS, Product, and Sales organizations, reporting directly to the Chief Product Officer, with visibility across the entire company. If you thrive in fast-moving environments, enjoy solving complex problems, and want to make a direct impact on customer delight and retention, this role is for you. Key Responsibilities * Onboard & Train - Own customer onboarding and training to achieve high adoption. Develop and refine training materials as you scale. * Be the Voice of the Customer - Gather feedback, advocate for feature improvements, and work with the product team to enhance the customer experience. * Scale Support - Be the frontline for customer inquiries, and continuously improve processes through automation and documentation. * Monitor & Optimize - Define and track customer health metrics, proactively addressing risks and opportunities. * Drive Renewals & Expansion - Build deep relationships with customers, identify growth opportunities, and increase platform utilization. This is the role for you if: * You want to get your hands dirty making our early customers our greatest advocates as well as build the structures around how we scale the overall Customer Success function as we scale. * Problems make you angry and solutions bring you joy - you’re the type of person who will do whatever it takes to solve a problem, no matter how big or small. If you’ve sent a dozen cold emails or taught yourself basic Python to solve a problem in the past, you’re this person. * You’re excited to be exposed to and work alongside every function of a fast paced, quickly growing startup, from engineering to GTM. Skills Knowledge And Expertise * 3+ years in Customer Success, Solutions Engineering/Consulting, Deployments or Implementation, Account Management, or a related role in B2B SaaS. If you’re coming from a different background and think you’d be a great fit, tell us why! * Process Builder - You’ve built systems from scratch and thrive in ambiguity. * Data Driven - Comfortable building process around, tracking, and making decisions based on customer data. * Customer Centric - A natural relationship builder who can drive adoption and retention. * Technical Aptitude - Able to understand and explain a data-driven SaaS platform. Interview Process We move fast — really fast. Getting back to someone today beats tomorrow, and our interview process reflects that mindset. Please keep us posted on your timeline so we can move quickly and speed things up where needed. How We Work * Build Bridges to Help Customers Win - We pride ourselves on being obsessively customer-centric. * Shooting Star Speed - We move with extreme speed. We value momentum, decisiveness, and the ability to accelerate when it matters. * Fun Is a Feature - Fun is a Feature means we intentionally design Starbridge to be an energizing place to do hard work. Joy, humor, and camaraderie make great teams faster, sharper, and more resilient. * In the Arena - We believe the best ideas come from living close to the work, feeling the friction, hearing the nuance, and experiencing the details firsthand. Benefits include: * Competitive salary + early-stage equity * Comprehensive medical, dental, and vision insurance * Company provided lunch in office everyday * 75% coverage of Chelsea Piers Fitness membership * Unlimited PTO * Regular offsites (NYC + global locations) Compensation Range: $110K - $160K

Job Description Does getting in on the ground floor as an initial stakeholder, building out your own team, and building a solution that has never been built before, get you excited? Do you want to be the person, when people are talking about some awesome innovation in awe, to be able to proudly say you were instrumental in building it? If so then this could be an exciting opportunity for you. My client partners with companies ranging from fortune 500 to start-ups across all industries to solve their most complicated problems. The main one, most are wrestling with is how to use data and research for their decisions. With this hole in the market in mind, they have recently brought over one of the brightest minds from the AI/Machine learning world to build a product that doesn’t exist at this moment. It is tremendously ambitious goal, and they need a special team to do it. They are constructing its own floor, in their current space, and it is just at the start of this exciting journey. They are building a tool that can automate and replace the hundreds of thousands to million dollars that companies are spending in data science. This tool will greatly cut down on in some cases eliminate the need for companies to pour over data researching to find trends, it will do it for them, basically personalization for B2B. They are looking for a Senior Data Scientist to come on board and lead this ambitious initiative. If applying data mining techniques, doing statistical analysis, and building high quality prediction systems sounds like fun to you, keep reading. You will do things like , use machine learning techniques, build recommendation systems, and develop internal A/B testing procedures, and automation creation reporting. RESPONSIBILITIES · Selecting features, building and optimizing classifiers using machine learning techniques · Data mining using state-of-the-art methods · Enhancing data collection procedures to include information that is relevant for building analytic systems · Processing, cleansing, and verifying the integrity of data used for analysis · Doing ad-hoc analysis and presenting results in a clear manner · Creating automated anomaly detection systems and constant tracking of its performance · Utilize database technologies, including SQL, ETL, EMR, and Redshift to shape data and statistical modeling packages like R and python to build customer models. · Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. · Research and implement novel machine learning and statistical approaches QUALIFICATIONS · Excellent understanding of machine learning techniques and algorithms · Experience with common data science toolkits and data visualization tools · Proficiency in using query languages such as SQL, Hive, Pig etc. · Good applied statistics skills, such as distributions, statistical testing, regression, etc. · Good scripting and programming skills such as Python · Bachelor’s degree in computer science, Engineering, Mathematics, Statistics or related fields, or equivalent practical experience. Masters is preferred · Relevant working experience in an analytical role involving data extraction, analysis, model building, deployment and communication of insights · Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools. It is a truly unique work environment, where they are allowing the right candidate to be part of the creative, as well as the execution of the idea. The company empowers their employees, by choosing the right people, letting them use their unique skills, and giving them every resource, and power to make decisions. Truly a great opportunity to get in at ground floor and make a huge impact on tremendous team! Salary based on experience

Job Description OUR COMPANY: EOS IT Solutions is a Global Technology and Logistics company, providing Collaboration and Business IT Support services to some of the world's largest industry leaders, delivering forward-thinking solutions based on multi-domain architecture. Customer satisfaction and commitment to superior quality of service are our top business priorities, along with investing in and supporting our partners and employees. We are a true International IT provider and are proud to deliver our services through global simplicity with trusted transparency. WHAT YOU WILL DO: We are seeking a passionate and high-energy Network Pre-Sales System Engineer ready to take the next step in their career. The ideal candidate will have a solid foundation in enterprise networking, with a flair for data center or optical technologies, and a strong understanding of AI infrastructure. In this role, you will build strong customer relationships and help drive key deals across global accounts. You get to bring your passion for technology coupled with execution to a global set of customers. Day-to-day responsibilities will include actively participating in customer sales meetings, driving presentations of technical solutions, whiteboarding, custom technical design, and properly scoping out services-related work. You will team with your sales counterparts to build and nurture customer relationships, partner with multiple OEMs, and consistently seek areas of value for our customers. Technical expertise expansion is highly encouraged, as you explore new areas of interest and stay at the forefront of cutting-edge technologies. You will be enthusiastic and passionate about IT and networking, and thrive in a dynamic, expanding company. You'll have opportunities to work independently and collaboratively, and will be supported to grow to your full potential. This role requires 40%–50% domestic and international travel. KEY RESPONSIBILITIES: • Demonstrate strong understanding of some or all of the following technologies: Software defined architecture, (SD-WAN , SD-LAN) Data centre technologies (ACI, VMware, VDI etc) Security solutions (NGFW, ZTN, SASE) and knowledge of AI infrastructure (Nvidia, low latency network architecture)., • Familiarity with major networking vendors, e.g. Cisco, Juniper, Arista, Nvidia HPE-Aruba, Palo Alto Networks, etc, • Adept at using initiative, discretion, and judgment to apply technical solutions to complex sales opportunities., • Ability to translate design requirements into BOMs and partnering with procurement to generate quotes, • Experience of customer interactions with technical staff., • Knowledge of sales cycle., • Impactful verbal and written communication and good presentation skills., • Great relationship building skills, tenacity, resilience., • Ability to work independently and remotely as well as with your team to accomplish objectives., • Good understanding of the market space and offerings., • Solid understanding of technologies such as campus networking (L2/L3), SDx & programmability, datacenter & cloud, AI Infra, and security., • Strong industry knowledge and operational empathy, • 5+ yrs of pre-sales engineering or related experience, • Cisco CCNP or CCIE or JNCIE, or Arista L5 certifications., • Excellent written and verbal communication skills., • Write and speak English fluently., • Experience supporting global enterprise clients across multiple regions and time zones., • Familiarity with AI/ML workloads and how networking impacts performance in high-compute environments., • Exposure to hyperscaler environments (AWS, Azure, GCP) and hybrid cloud networking architectures., • Understanding of optical networking technologies and low-latency infrastructure for AI clusters., • Experience with automation tools and scripting (e.g., Python, Ansible, Terraform) for network orchestration., • Ability to create and deliver technical enablement sessions or workshops for internal teams or clients., • Multilingual capabilities or experience working in multilingual environments., • Prior involvement in RFP/RFI processes and technical proposal development., • Knowledge of sustainability practices in IT infrastructure and data center design. EOS is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. We invite you to consider opportunities at EOS regardless of your gender; gender identity; gender reassignment; age; religious or similar philosophical belief; race; national origin; political opinion; sexual orientation; disability; marital or civil partnership status or other non-merit factor. #LI-MS2 #IND Pay Range$190,000—$205,000 USD