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This is an opportunity to join a fast-paced infrastructure team supporting secure, large-scale deployments of generative AI products for premier financial institutions. This is a full-time, onsite role based in New York City, working with AWS, Kubernetes, Terraform, and modern security and observability tooling to help deliver cutting-edge AI systems in highly regulated environments. You’ll work cross-functionally with internal engineering and AI teams, guiding security best practices, implementing compliance controls, and ensuring the integrity of AI-powered financial platforms. As a Cloud Security Engineer, you’ll be responsible for designing and enforcing secure-by-default architectures, embedding automated guardrails, and strengthening the overall security posture of production systems. You’ll lead initiatives to protect sensitive financial data, establish compliance frameworks (SOC 2, ISO 27001), and implement zero trust principles across environments. Required Skills & Experience Daily Responsibilities \n• 60% Designing and Hardening Secure Infrastructure \n• 40% Security Auditing, Incident Response, and Team Collaboration The Offer Bonus Eligible You Will Receive the Following Benefits \n• Medical, Dental, and Vision Insurance \n• Vacation Time \n• Stock Options Applicants must be currently authorized to work in the US on a full-time basis now and in the future. #LI-JF6

Senior Full Stack Engineer- Python/React \nLocation: New York, New York- (On-site 4 days/week) \nHours: Full Time-Perm \nCompensation: $170-200K + Bonus\n This full time Full Stack engineering role is coming from a company that is building an AI powered due diligence platform that is used by private equity firms to help speed up the acquisition process and research. Based in New York City, you will be working with Python and React to build the features for a fast-growing product supported by strong leadership. They are taking on one of private equity’s major obstacles; everything you will be building will have direct impact to high value deals. They are looking for a senior Full-Stack engineer who can work 50/50 from backend to frontend and be flexible to 60/40. This role comes with high ownership, hands on building and learning, and the opportunity to shape a quickly scaling AI platform. Required Skills & Experience • Python \nReact \nFull-Stack engineering experience \nAbility to work on-site 4 days per week \n \n \nDesired Skills & Experience \n5+ Years of experience \nAI/ Data platform background \nWorked or been exposed to work within Fintech or Private Equity

Cloud Security Engineer \n \nAs a Cloud Security Engineer, you’ll play a pivotal role in shaping the company’s security posture as it scales into the enterprise financial sector. Working alongside the infrastructure team, you’ll architect and implement robust cloud security systems that safeguard our AI platform and the sensitive financial data it processes—empowering our engineers to innovate quickly while maintaining the highest standards of security and compliance. \n \nThe company is located in New York, NY and will be 4 days onsite a week. \n \nWhat You Will Be Doing:\n • Design and implement cloud security architecture that enables secure-by-default patterns across all engineering initiatives., • Develop and maintain AWS security controls, including IAM policies, network segmentation, encryption, and centralized logging., • Build infrastructure-as-code (CDK, SST, Pulumi) with embedded security guardrails to streamline secure development., • Implement robust secrets management, encryption, and authentication frameworks to safeguard sensitive financial data.\n, • Lead compliance programs across CCPA, GDPR, and ISO 27001, complementing the existing SOC 2 Type II certification., • Automate evidence collection and continuous compliance using infrastructure-as-code and monitoring pipelines., • Conduct cloud security audits and remediate gaps against CIS Benchmarks and internal policy standards., • Collaborate with sales and customer success teams to meet enterprise security requirements and complete due diligence questionnaires.\n, • Participate in the security on-call rotation and lead incident response activities.\n, • Partner with engineering teams to embed security into SDLC workflows and CI/CD pipelines., • Implement software supply chain protections, including artifact signing, secret scanning, and dependency validation., • Design and enforce security controls for AI/ML infrastructure and data pipelines handling financial information., • Apply Zero Trust principles across cloud and internal systems.\n, • Mentor engineers on secure software design and architectural best practices.\n\nRequired Skills & Experience:, • 5+ years in cloud or infrastructure security engineering., • Deep hands-on experience with AWS security, including IAM, VPC architecture, encryption, and security services., • Strong expertise with infrastructure-as-code (AWS CDK preferred)., • Proficiency in scripting and automation (Python, Go, Bash, or similar)., • Understanding of attacker TTPs and modern cloud threat landscapes.

VDC Engineer US-NY-New York Job ID: 2025-3209 Type: As Needed of Openings: 1 Category: Information Technology The LiRo Group Overview We have an immediate need for a VDC Engineer for our New York City Office in lower Manhattan. LiRo-Hill Virtual Design & Construction Operations (VDCO) is a multidisciplinary practice seamlessly integrating technology and innovation for the built environment. Our team has a long history of delivering complex, ambitious projects utilizing the latest technology. The team consists of full-time staff with backgrounds and focuses ranging from Architecture, Engineering, Construction Management and Operations. We implement BIM, Reality Capture, 3D coordination, Project Controls, Data Analytics, BIM Implementation Consulting, and much more. Come join our team! We are looking to build services and capabilities through the growth of our key asset - our staff. Ranked among the nation's top A/E firms by Engineering News-Record, LiRo-Hill provides construction management, engineering, environmental, architectural, and program management solutions. You can become part of an organization that has a strong track record and is looking to strengthen relationships and capabilities to be a trusted resource for our clients in the public and private sector. We are proud to be known as an “Integrated Construction, Design and Technology Solutions” firm and we have delivered on that label time and again. Recently, Global Infrastructure Solutions Inc. (GISI), the parent company of The LiRo Group and Hill International, Inc. consolidated a portion of the highly experienced staff of both LiRo and Hill in the Northeast to create a larger, more efficient, and cost-effective team to serve clients. LiRo-Hill is a 1100-person firm with offices in NYC, Long Island, Buffalo, Rochester, Boston and Metro Park, NJ. Responsibilities • Assist in Scan-to-BIM workflows including LiDAR scanning and point cloud processing., • Produce highly detailed 3D models using Revit, consistent with AEC industry guidelines, and LiRo standards and practices., • Create design and construction documentation including axonometric 3D views, sections and elevations., • Create 4D models using resource loaded P6 schedules and Fuzor/Synchro., • Create renderings and simulations on an as-needed basis for marketing or project use, • Use tools such as Navisworks and ACC to support project collaboration and coordination across multiple disciplines., • Interface with Construction/Design teams to coordinate BIM content and approaches, model exchanges, quality control, and delivery., • Visualize and create reports on an ongoing basis., • Troubleshoot BIM software and platform issues and stay current with emerging tools and technologies. Qualifications Required Qualifications: • Bachelor’s degree or higher in Architecture, Engineering, Civil Engineering, Construction Management, or an AEC-related discipline., • Min. 3 years of hands-on experience working as a BIM/VDC Professional., • Excellent verbal and written communication/presentation skills, with the ability to express ideas clearly and professionally to both technical and non-technical audiences., • Ability to read, understand, and interpret contract drawings, specifications, scopes of work, and project schedules., • Proficiency in Autodesk products such as Revit, AutoCAD, Civil 3D, Navisworks, and ACC Model Coordination., • Strong Revit Modeling experience., • Experience working with Public Sector clients / projects is highly preferred., • Experience with software development using Revit APIs, Python, and Dynamo is a plus., • Familiarity with Bentley software, ArcGIS, AutoCAD, Primavera P6, or IBM Maximo is advantageous., • Valid Driver's License, ability to drive to job sites., • This position requires often driving to, working from client/field offices in and around NYC areas., • The candidate must be authorized to work in the USA., • Visa Sponsorship is not available. Our Culture: We believe in the power of collaboration. We work hard to build a corporate culture that empowers all our employees to freely share their ideas, know their presence, and contributions are truly valued, fostering a climate where our employees are enabled to maximize their full potential. -We offer a comprehensive benefits package and a positive work environment -Compensation: Minimum: $75,000: Maximum: $115,000. The range provided is the salary that the Firm in good faith believes at the time of this posting is willing to pay for the advertised position. Exact compensation will be determined on the individual candidates’ qualifications and location. LiRo-Hill is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, national origin, ancestry, marital status, sex, affectional or sexual orientation, gender identity or expression, or protected veteran status; and will not be discriminated against on the basis of disability. #ID22 #ZR22 PI550d0cad9766-37820-38829915

Join us as a VP - Global Markets AI / ML Modeller. At Barclays, our vision is clear—to redefine the future of banking and help craft innovative solutions. Within Global Markets, we are building an AI/ML capability from the ground up, adopting a start-up mindset that values collaboration, and a relentless focus on results. As part of this greenfield function, you will leverage your deep knowledge to design, develop, and deploy sophisticated machine learning models that enhance trading strategies and distribution channels. This role offers a unique and exciting opportunity to not only build production-grade models but also to shape the strategic direction of AI adoption across Markets. You will work closely with senior partners and cross-functional teams in a fast-paced, high-impact environment where your contributions directly influence business outcomes and help set new industry standards. If you thrive in dynamic settings and are passionate about pushing the boundaries of what AI can achieve in financial markets, this is the role for you. To be successful as a VP - Global Markets AI / ML Modeller, you should have: * Senior experience in Machine Learning, including deep learning frameworks such as PyTorch or TensorFlow * Experience building and deploying scalable ML models in production * Considerable programming skills in Python and experience with cloud platforms * Solid understanding of statistics, applied mathematics, and data engineering pipelines Some other highly valued skills may include: * Ability to mentor, support projects, and engage with senior stakeholders * Strategic thinker with the ability to ensure complexity and risk * Ample collaboration and communication skills * High curiosity and a passion for innovation You may be assessed on the key critical skills relevant for success in this role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role is located in our New York, New York office. Minimum Salary: $150,000 Maximum Salary: $225,000 The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available. \n Purpose of the role To provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making within the investment banking domain, applying quantitative analysis, mathematical modelling, and technology to optimise trading and investment opportunities. Accountabilities • Development and implementation of quantitative models and strategies to derive insight into market trends and optimize trading decisions, pricing, and risk management across various financial products and markets., • Working closely with sales teams to identify clients' needs and develop customised solutions., • In-depth research, data analysis, and statistical modelling to derive insights into market trends, pricing, and risk dynamics., • Provide front office infrastructure support though ownership and maintenance of analytical libraries., • Provision of expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation within the trading environment. Vice President Expectations • To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.., • If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.., • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.., • OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.., • Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment., • Manage and mitigate risks through assessment, in support of the control and governance agenda., • Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does., • Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business., • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies., • Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions., • Adopt and include the outcomes of extensive research in problem solving processes., • Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Help Us Transform the Pharmaceutical Claims Industry InfinityRx is a health-tech startup on a mission to modernize pharmaceutical claims processing through cutting-edge cloud technology. Our flagship product, the InfinityRx Claims Processor™ (ICP), is redefining how claims are adjudicated—delivering faster, smarter, and more reliable outcomes for patients and healthcare stakeholders. We’re looking for a Software Engineer who thrives in fast-moving environments, enjoys building modern applications from end to end, and wants to play a pivotal role in shaping the future of healthcare technology. What You’ll Do: As an Engineer at InfinityRx, you’ll be hands-on in evolving the ICP platform and building new tools in our product ecosystem. Your contributions will directly impact patient access and the efficiency of pharmaceutical workflows. You will: • Build and enhance key components of our transaction processor, web application, and APIs, • Contribute across the full software development lifecycle, from design to testing to deployment, • Monitor and maintain performance of our cloud infrastructure to ensure uptime and scalability, • Collaborate closely with teammates to architect and deliver clean, maintainable, high-performance code, • Own your tasks with autonomy, using strong time management and follow-through What You Bring: We’re looking for a developer with a strong foundation in modern full stack development, cloud deployment, and API design. You should be comfortable navigating both front-end and back-end technologies, and ready to dive into a growing codebase. Required Skills & Experience: • Bachelor’s degree in computer science, engineering, life sciences, or other related discipline, • 2+ years of professional software development, • Proficient in Java, TypeScript, and SQL (PostgreSQL), • Experience with Spring (Boot or Framework) and React, • Comfortable with RESTful API design and consumption, • Skilled with unit and integration testing using frameworks like JUnit and Mocha, • Familiar with using the Linux command line, • Experience in pharma or healthcare technology, • Proficiency in designing database schemas and writing performant queries, • Familiarity with Redis and NoSQL databases (such as MongoDB), • Ability to perform basic data analysis (such as in SQL or Python), • Use of UI frameworks like Tailwind CSS, Bootstrap, or Material UI, • Experience with observability tools like Datadog, • Involvement in system architecture or technical design decisions You’re a Great Fit If You Are: • A problem-solver who enjoys building scalable, high-quality solutions, • A team player with excellent communication skills, • Comfortable in a startup environment where flexibility and initiative are key, • Motivated by real-world impact in healthcare technology What We Offer: • Hybrid Work Schedule: Mix of in-office (New Hyde Park, NY) and remote flexibility, • Salary Range: $90,000-$120,000 Commensurate with experience, • Paid Time Off, • Growth Potential: Room to advance as our team and product suite expand Join InfinityRx and become part of a team that's building transformative healthcare solutions—one line of code at a time.

The Director of Cloud Operations is responsible for leading and advancing the organization’s hybrid infrastructure across Azure cloud and on-premises systems, ensuring stability, scalability, and compliance across all environments. This role oversees a team of cloud and infrastructure engineers supporting Azure, Microsoft 365, VMWare, Citrix, Networking, and various clinical workloads. This team designs, plans, & implements technical solutions to business, clinical and or technical problems as needed. The Director will play a key role in migrating on-premises workloads to cloud-based equivalents (e.g., voice, identity, data platforms), driving automation and identity access management (IAM) strategies, and maintaining strong disaster recovery and business continuity capabilities. This position combines strategic leadership with hands-on technical oversight, ensuring that systems are secure, cost-optimized, and aligned with organizational and regulatory (HIPAA/HITRUST) requirements. DUTIES AND RESPONSIBILITIES: 1. Lead and mentor the Cloud Operations and Infrastructure team, including but not limited to systems administrators, Network, Telecom, & Cloud engineers., 2. Define and execute the hybrid infrastructure roadmap, driving migration of on-premises workloads to Azure or equivalent cloud environments., 3. Partner with IT leadership to align infrastructure initiatives with business objectives and compliance frameworks., 4. Oversee policies, processes, and governance to ensure operational excellence, system uptime, and cost efficiency., 5. Manage daily operations for all infrastructure including but not limited to Azure, Microsoft 365, VMware and Citrix environments., 6. Ensure high availability, performance, and security across hybrid systems. Lead automation initiatives for user account provisioning, lifecycle management, and SSO integration using tools such as Entra ID, SCIM, and PowerShell. 8. Oversee monitoring, capacity planning, and incident response across all infrastructure layers. Lead implementation and maintenance of a comprehensive Disaster Recovery and Business Continuity Plan, ensuring regular testing and continuous improvement. 10. Optimize resource usage and cost management across environments., 11. Partner with the Security and Compliance teams to ensure adherence to HIPAA, HITRUST, and NIST standards., 12. Manage IAM frameworks, conditional access, and identity governance across cloud and on-prem environments., 13. Oversee patching, vulnerability management, and endpoint compliance., 14. Ensure all solutions meet internal audit and regulatory requirements., 15. Collaborate with application, networking, and security teams to support integrated DevOps and automation practices., 16. Coordinate migration projects for workloads such as VoIP, data storage, and applications from on-prem to Azure., 17. Manage vendor relationships and ensure service levels meet organizational expectations., 18. Stay current with emerging technologies and propose improvements to strengthen resilience and efficiency. EDUCATION AND EXPERIENCE: • Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience., • 5+ years of progressive leadership experience managing IT infrastructure & cloud operations teams., • 8+ years of experience in systems engineering, infrastructure management & cloud architecture., • Demonstrated expertise with: Microsoft Azure, Microsoft 365 (Exchange, Intune, SharePoint, Teams, OneDrive), Identity & Access Management (IAM), Entra ID, MFA, and SSO., • Experience managing VMWare, Citrix, and Mitel environments., • Experience with Manage Engine ITMS, including Service Desk, Endpoint Central, or similar tools., • Experience leading Disaster Recovery planning and execution., • Working knowledge of healthcare IT and regulatory frameworks (HIPAA, HITRUST, NIST)., • Microsoft Certified: Azure Solutions Architect Expert or Azure Administrator Associate preferred. 10. ITIL v4 certification desired. KNOWLEDGE, SKILLS, AND ABILITIES: a. Microsoft Windows Server operating systems b. Microsoft 365 services (Exchange, Intune, SharePoint, Teams, OneDrive, etc.) c. Azure infrastructure and networking (VNets, firewalls, VPNs, routing) d. M365 Security and Compliance portal e. Hybrid Microsoft Azure/on-prem Active Directory, Group Policy, DNS f. Azure SSO Federation/Integration, SCIM automated user provisioning g. Azure Enterprise Apps h. Multi-Factor Authentication and conditional access policies i. M365 Cloud license management j. SSL certificate management k. Cloud technologies: Azure, AWS, Google l. Office Applications: Outlook, OneNote, Excel, Word and PowerPoint and integration points with SharePoint Online m. n. o. p. CLI and scripting skills (PowerShell, python, etc.) Networking concepts (i.e., Firewalls, VLANs, IP subnetting, IP routing, VPN, etc.) Email authentication/verification methods (SPF, DMARC, DKIM) Encryption technologies (i.e. SSL, TLS, HTTPS, SSH, etc.) 20. Strong leadership, coaching, and communication skills., 21. Proven ability to manage cross-functional teams and large, complex projects., 22. Capacity and resource planning capabilities and knowledge of associated relevant tools, 23. Regulatory compliance experience, 24. Exceptional work ethic and time management skills, 25. Ability to work well independently and/or as part of a team, 26. Strong communication skills and a commitment to customer service PHYSICAL DEMANDS: 1. Occasional travel to Health Centers and other locations as needed within the NYC area. WORKING CONDITIONS: Hybrid role, starting with 4 days onsite, but eventually and once established moving to 3 days on site and 2 days remote AMAZING Benefits with 2 pension plans!!!

Senior Identity Services Engineer_ New York City, NY, PA, CT, NJ Full-Time (FTE)Direct Hire Position: Senior Identity Services Engineer Job Type: Full-Time (FTE) Location: New York City-NY Office space available at location listed The candidate would need to live in the following states NY, PA, CT, NJ Industry: Healthcare / Health Services - Medical Records / IT / Informatics Job Category: Information Technology - Security Base Salary: $97,000 to $145,000 +Best-in-class benefits Preferred Qualifications: • Hands-on experience with the Ping Identity platform, particularly:, • PingFederate, PingOne, PingID, PingDirectory, • Experience with MFA and Passwordless/FIDO2/WebAuthn authentication strategies, • Experience building and configuring enterprise SSO applications in Azure AD / Entra ID, • Exposure to IAM orchestration platforms such as PingOne DaVinci or similar tools, • Experience supporting cloud identity integrations (Azure, AWS, GCP), • Familiarity with enterprise SSO in hybrid environments (on-prem and cloud-based apps), • Strong documentation and communication skills, • Comfortable collaborating across technical and non-technical teams, • Ability to lead projects and mentor junior engineers Required Qualifications: • 5+ years of Identity & Access Management experience with a strong focus on SSO and federation Deep technical knowledge of: • PingFederate, Azure AD, Okta, ADFS, • Federation protocols including SAML, OIDC, and OAuth2, • LDAP, Active Directory, SCIM, • Proficiency in scripting and development with PowerShell, Python, and Java, • Experience working with REST APIs for IAM services; familiarity with Postman or similar tools, • Familiarity with OGNL expression language for customizing PingFederate policies, • Front-end UX design and customization using HTML, CSS, and JavaScript, • Basic Linux administration skills for maintaining and managing IAM infrastructure, • Working knowledge of certificates and PKI (X.509, certificate chains, signing, encryption, keystore management), • Strong troubleshooting and debugging skills across application, identity, and network layersx, • Understanding of modern identity concepts such as Zero Trust, adaptive authentication (risk-based, device/user signals), and conditional access Candidate Details: *5+ to 7 years experience *Seniority Level - Mid-Senior *Minimum Education - High School Diploma or Equivalent *Willingness to Travel - Occasionally

At Modo Energy, we're building the global standard for benchmarking and valuing the world's electrification assets - unlocking returns for battery energy storage, solar, wind and data centres. POSITION DUTIES: Develop mathematical or statistical models to analyze and interpret data; Build novel and industry-leading models and analyses; Produce tools used by organizations across the energy transition to finance, build, benchmark, and operate battery energy storage systems; Using statistical techniques, source, process, analyze, and interpret large and complex datasets within our growing forecast offering; Develop our power market and dispatch models to grow and enhance Modo’s product offering, using Python and optimization toolsets; Apply statistical methods to solve practical problems in the business, determining what data are needed to answer specific questions or problems; Work closely with our product function to ensure the product we deliver aligns closely with user needs and provides value to the wider Modo team; Stay up to date with the latest market regulations and their impact on the broader energy landscape; Use statistical software to analyze data and create visualizations to aid decision making in business; and Interpret data and communicate analyses to technical and nontechnical audiences. POSITION REQUIREMENTS: Master’s degree in Engineering, Computer Science, Mathematics, or a related quantitative field plus one year of full-time experience in occupations involving data analysis, statistical analysis, engineering, energy consulting or related occupations. SPECIAL REQUIREMENTS: Experience to include 1 year in each of the following: Use of Python and R for data analysis; Use of the scientific computing stack for data analysis, data science, and machine learning: Numpy, Pandas, SciPy, and ScikitLearn; Use of optimization methodologies and linear programming, including building and refining mathematical models for decision-making in the energy sector; Development of production-cost models and capacity expansion models for energy market projections, and cost-benefit analyses for energy projects using modeling software: PLEXOS, Uplan, or ProMod; Financial modeling and analysis for energy projects; and Preparation of technical reports and presentations using data visualization tools including Power BI and Excel. RATE OF PAY: $81,557 to $132,500 per year LOCATION OF POSITION: Modo Energy Inc 200 Broadway 3rd Floor New York, NY 10038 APPLICATION INSTRUCTIONS: Please submit your resume to or apply at: #LI-DNI

Work Location: 120 Broadway, 30th Floor- Onsite only, no remote or hybrid Hours: 9 am – 5 pm Monday-Friday Job Title: System Developer 1 Project Scope: Design and implement full stack solutions using Microsoft .NET technologies, including C#, VB.NET, ASP.NET, .NET Core, .NET 9.0, Entity Framework, JavaScript libraries, and ArcGIS Maps SDK for .NET. Identify, analyze, and develop interfaces and integration flows using Visual Studio Application platform. Develop and optimize database structures and queries using Microsoft SQL Server to ensure efficient data storage and retrieval. Utilize Azure services to build scalable and reliable cloud-based applications, leveraging services such as Azure App Service, Azure SQL Database, and Azure Functions. Integrate GIS applications and data with enterprise systems, improving operational workflows and data accessibility. Design, develop, and enhance ESRI ArcGIS Pro-based applications and custom extensions for spatial data editing of linear, point, and polygon features. Implement custom tools, scripts, and workflows in ArcGIS Pro to optimize GIS data editing. Manage, process, and analyze spatial data from diverse sources. Ensure the integrity and accuracy of GIS datasets, including performing data conversions, quality assurance, and updates. Develop integration solutions for GIS systems with enterprise platforms or third-party tools. Automate repetitive GIS workflows using Python (ArcPy), Arcade, ModelBuilder, or similar tools. Collaborate with interface designers to integrate user-facing elements with server-side logic, ensuring seamless user experiences. Participate in code reviews to maintain code quality, identify potential issues, and suggest improvements. Troubleshoot and debug complex application issues, providing timely resolutions to maintain system stability. Communicate effectively with team members, stakeholders, and project managers to gather requirements, provide updates, and manage expectations. Create and maintain technical documentation, including system designs, workflows, and user guides. Ensure solutions comply with industry best practices, standards, and security protocols. Prepare documentation and conduct knowledge transition to support adoption across the organization and other city agencies. Stay current with industry trends and emerging technologies to propose innovative solutions and improve development processes. Required Qualifications: Note: candidates who do not have the required skills will not be considered. The selected candidate must have a minimum of 4 years’ experience as described in “Attachment 2 – City Labor Category Description” for Programmer 2 ( I attached that to the email). Bachelor’s degree in computer science, Software Engineering, Information Systems, Geographic Information Systems (GIS), or a related field. Master's degree is a plus. Proven experience (4+ years) as a full stack .NET Developer with hands-on expertise in C#, VB.Net, ASP.NET, .NET Core, .NET 9.0, Entity Framework, MVC, SQL Server, and Azure. Solid understanding of front-end technologies, including HTML, CSS, JavaScript, and related frameworks (e.g., React, Angular). Minimum of 2 years of experience in ArcGIS Pro and/ArcMap-based GIS solution design and development. Experience with RESTful API development and integration. Hands-on development experience with ArcGIS Maps SDK for .NET, Python, ArcPy, Arcade, and Model Builder to create/extend editing tools in ArcGIS Pro. Demonstrated proficiency with ESRI product suite, including ArcGIS Pro, ArcGIS Enterprise (Server, Portal, SDE DataStore), ArcGIS Desktop, ArcGIS Online, and ArcMap. Demonstrated experience working with geospatial data types in Microsoft SQL Server, Oracle/Oracle Spatial, and PostgreSQL/PostGIS databases. Experience with MS-SQL Server, PostgreSQL, Oracle, and/or other geospatial databases. Ability to collaborate effectively within a team environment. Proven ability to lead cross-functional teams and deliver projects on time and within scope. Strong knowledge of software architecture principles, design patterns, and best practices. Familiarity with DevOps practices and tools for continuous integration and delivery. Familiarity with application lifecycle management (ALM) tools such as Azure DevOps and GitHub extensions. Experience with version control using Git and GitHub and release management practices. Excellent problem-solving skills and ability to work effectively in a collaborative team environment. Strong communication skills, both written and verbal. Microsoft Azure certifications are a plus. Demonstrated experience working with technical and non-technical staff.

Vice President, Credit Risk with Goldman Sachs Bank USA in New York, New York. Develop, implement, and maintain credit underwriting strategy for digital lending. Analyze data including traditional and alternative bureau, behavioral and macroeconomic data and use statistical tools and analytical techniques to generate insights and optimize credit decisions including accepting and declining pricing and credit line. Requires: Master’s degree (U.S. or foreign equivalent) in Mathematics, Economics, Finance, Statistics, Information Systems, or a related field OR Bachelor’s degree (U.S. or foreign equivalent) in Mathematics, Economics, Finance, Statistics, Information Systems, or a related field. Three (3) years of experience with a Master’s degree or five (5) years of experience with a Bachelor’s degree with the following: building, improving, or analyzing risk management in a consumer lending; utilizing knowledge of U.S. credit bureau data, risk scorecards, and ability to pay quantification to develop credit policy; working with large datasets and big data including trade line, time-series, and transaction data and utilizing advanced analytical packages such as SAS, R, Python and SQL to analyze data, identify insights and make recommendations; visualizing complex data analyses and communicating to a wide variety of audiences, including senior leadership; developing comprehensive risk management reports using SQL or a similar database query language for extracting data from large datasets; and microsoft Office skills, specifically Excel (including creation of pivot tables, logic functions, data tables and regression analysis), PowerPoint and Word. Job Code: 9289989 Salary Range: Annual base salary for this New York, New York -based position is $189,000 – $249,000. QUALIFIED APPLICANTS: Apply at gs.com and click on "Careers." NO PHONE CALLS PLEASE. ©The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

If you are interested in this opportunity. Please email your updated resume in word format to Technical Lead Consultant Description Architect, design, and implement full stack solutions using Microsoft .NET technologies, including C#, VB.NET, ASP.NET, .NET Core, .NET 9.0, Entity Framework, JavaScript libraries, and ArcGIS Maps SDK for .NET. Identify, analyze, and develop interfaces and integration flows using Visual Studio Application platform. Develop and optimize database structures and queries using Microsoft SQL Server to ensure efficient data storage and retrieval. Utilize Azure services to build scalable and reliable cloud-based applications, leveraging services such as Azure App Service, Azure SQL Database, and Azure Functions. Manage a team of Microsoft .NET/C#/SQL Server/ETL full stack developers, providing technical guidance and mentoring. Integrate GIS applications and data with enterprise systems, improving operational workflows and data accessibility. Design, develop, and enhance ESRI ArcGIS Pro-based applications and custom extensions for spatial data editing of linear, point, and polygon features. Implement custom tools, scripts, and workflows in ArcGIS Pro to optimize GIS data editing. Manage, process, and analyze spatial data from diverse sources. Ensure the integrity and accuracy of GIS datasets, including performing data conversions, quality assurance, and updates. Optimize spatial databases and file geodatabases for performance and usability. Develop integration solutions for GIS systems with enterprise platforms or third-party tools. Automate repetitive GIS workflows using Python (ArcPy), Arcade, ModelBuilder, or similar tools. Collaborate with interface designers to integrate user-facing elements with server-side logic, ensuring seamless user experiences. Collaborate with stakeholders to gather requirements and ensure alignment with business objectives. Participate in code reviews to maintain code quality, identify potential issues, and suggest improvements. Troubleshoot and debug complex application issues, providing timely resolutions to maintain system stability. Communicate effectively with team members, stakeholders, and project managers to gather requirements, provide updates, and manage expectations. Mentor junior developers, providing guidance and sharing best practices to enhance team skills and knowledge. Create and maintain technical documentation, including system designs, workflows, and user guides. Ensure solutions comply with industry best practices, standards, and security protocols. Prepare documentation and conduct knowledge transition to support adoption across the organization and other city agencies. Stay current with industry trends and emerging technologies to propose innovative solutions and improve development processes. Required Qualifications: Note: candidates who do not have the required skills will not be considered. The selected candidate must have a minimum of 8 years’ experience as described in “Attachment 2 – City Labor Category Description” for Programmer 3. Bachelor's degree in Computer Science, Software Engineering, Information Systems, Geographic Information Systems (GIS), or a related field. Master's degree is a plus. Proven experience (8+ years) as a full stack .NET Developer with hands-on expertise in C#, VB.Net, ASP.NET, .NET Core, .NET 9.0, Entity Framework, MVC, SQL Server, and Azure. Solid understanding of front-end technologies, including HTML, CSS, JavaScript, and related frameworks (e.g., React, Angular). Minimum of 4 years of experience in ArcGIS Pro and/ArcMap-based GIS solution design and development. Experience with RESTful API development and integration. Hands-on development experience with ArcGIS Maps SDK for .NET, Python, ArcPy, Arcade, and Model Builder to create/extend editing tools in ArcGIS Pro. Demonstrated proficiency with ESRI product suite, including ArcGIS Pro, ArcGIS Enterprise (Server, Portal, SDE DataStore), ArcGIS Desktop, ArcGIS Online, and ArcMap. Demonstrated experience working with geospatial data types in Microsoft SQL Server, Oracle/Oracle Spatial, and PostgreSQL/PostGIS databases. Knowledge of emerging trends and technologies in GIS. Experience with MS-SQL Server, PostgreSQL, Oracle, and/or other geospatial databases. Familiarity with ArcGIS Online capabilities and GIS application development. Ability to collaborate effectively within a team environment. Proven ability to lead cross-functional teams and deliver projects on time and within scope. Strong knowledge of software architecture principles, design patterns, and best practices. Familiarity with DevOps practices and tools for continuous integration and delivery. Familiarity with application lifecycle management (ALM) tools such as Azure DevOps and GitHub extensions. Experience with version control using Git and GitHub and release management practices. Excellent problem-solving skills and ability to work effectively in a collaborative team environment. Strong communication skills, both written and verbal. Microsoft Azure certifications are a plus. Demonstrated experience working with technical and non-technical staff. Strong initiative and ability to perform duties with minimal supervision. Ability to identify needs of end users and communicate possible solutions to them. Strong organizational and project management skills. Ability to handle multiple projects simultaneously under tight deadlines.

American Express Travel Related Services Company, Inc. seeks Senior Managers, Data Analytics to analyze market trends and data to identify growth opportunities within the existing portfolio and with new lines of business. Perform growth strategy development for the business, identifying new spend opportunities and driving spend on card portfolios. Contribute to strategy execution for new business opportunities within an existing portfolio of accounts, prioritizing efforts across the portfolio. Track performance of portfolio of early-tenure customers, high-potential customers, and/or high-spending customers, marketing to and engaging customers by linking their business priorities to American Express’s value proposition. Contribute to purchase decisions, and track to ensure spend is captured. Liaise and coordinate with internal business partners, including sales support resources, to optimize the client and customer experience, contributing to growth on new and existing portfolios. Position requires a Bachelor’s degree in Business Administration, Finance, Marketing, Economics, Management Science and Engineering, Statistics, or a related field, and 3 years of experience with data and business analysis. Experience must include 1 year of experience with each of the following: performing data analysis to gain organizational insights and identify cost reductions; time-series analysis using statistical techniques and tools; leveraging MS Excel to structure data and generate models and reports; utilizing MS Excel, SQL, and big data platforms to structure data and generate models and reports; performing data analysis and forecasting using MS Excel, SAS, predictive models, and machine learning tools; and with programming using Hive, Python, R, SAS, SQL, and VBA. Telecommuting is available up to 2 days per week. Job Location: New York, NY Rate of Pay: $109,491.00 - $174,750.00 annually Any interested candidate should send resume and cover letter identifying the job opportunity by title to Michael A Biedermann, Vice President Recruitment, American Express (headquarters), 200 Vesey Street, New York, NY 10285, MAIL CODE 01-35-01, or visit and enter keyword 25021526 when prompted. American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions. US Job Seekers - Click to view the Know Your Rights poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: . #LI-DNI #FB-DNI #IN-DNI #TW-DNI #GD-DNI

___ helps companies discover the best events. Event marketers are the unsung heroes of successful companies. From generating leads to building world-class brands, event marketers make magic happen throughout the year. Vendelux is here to help maximize the impact of all the events that a company sponsors and attends. We are a Series A SaaS company and provide the system of record for event marketing. Our software platform provides proprietary insights that helps high-growth companies find the highest ROI events, conferences and trade shows to attend and sponsor. We have built an AI-powered platform that customers describe as an event marketer’s dream. Vendelux was founded in 2021, and our recent $14 million Series A was led by FirstMark, whose portfolio includes companies like Shopify, Pinterest, Discord, Airbnb, Draft Kings, Carta and Justworks (amongst others). Our leadership team includes alumni from Bain, ZoomInfo, Shutterstock, Compass, ModernLoop, Forter, Zulilly, NewtonX. We’re looking for a Senior AI Engineer who thrives at the intersection of software engineering, data engineering, and applied AI to build production-grade systems. You’ll develop, deploy, and scale features that sit at the core of our product. This role is perfect for someone motivated more by impact than method, loves to solve data problems using whatever means necessary, and is eager to see their output shape the user experience. Key Responsibilities * Design & Build AI-Powered Features: Architect, implement, and ship data-driven product features, always starting with the customer problem first. From prototyping through production, you’ll apply the right level of technology (whether simple heuristics or advanced AI) to deliver impact. * Build for Production: Build maintainable and scalable systems, including writing clean, testable code, integrating with new and existing data pipelines, and deploying solutions and services into cloud environments. * End to End Solution Delivery: Operate as an end-to-end developer in a fast paced startup. This involves identifying opportunities, prototyping solutions, securing stakeholder support, and productionalizing features that deliver measurable business value. * Applied AI Innovation: Research and apply modern methods (AI agents, LLMs, RAG, embeddings, supervised/unsupervised learning) to power new product capabilities, prioritizing impact and speed over perfection. * Enhance User Experience Through AI: Translate business problems into AI solutions that improve user workflows, accelerate insights, and drive measurable value. * Collaborate Cross-Functionally: Work with business stakeholders and other engineers to turn customer problems into technical requirements and impactful features. * Promote Best Practices: Establish and evangelize standards for AI/ML engineering and data quality across the team. Qualifications * 5+ years of professional experience in software engineering or data engineering, with at least 3+ years building AI/ML-driven products. * Strong programming skills in Python and proficiency in SQL. * Experience with modern AI frameworks (eg HuggingFace, LangChain, etc.) and designing data pipelines (Airflow, Dagster, or equivalent), * Solid understanding of cloud-based infrastructure (AWS, GCP, or Azure). * Experience applying LLMs and generative AI in production, including prompt engineering, RAG, and LLM deployment. * Strong grasp of fundamental data science and machine learning techniques, with the ability to balance research and engineering tradeoffs. * Demonstrated ability to translate business problems into data solutions that drive business value. * Proven track record of shipping user-facing features with measurable impact. * Excellent written and verbal communication skills; ability to collaborate across data, engineering, and product teams. * Startup experience preferred. Why Join Us * Direct product impact: Your models will shape how event marketers discover, connect, and measure ROI. * Product market fit: Customers love our platform; now it’s about enhancing the user experience and scaling with AI. * Ownership: You’ll set the standard for how we build, evaluate, and ship AI at Vendelux. * Growth: Work on cutting-edge problems in LLMs, recommendation systems, and applied ML. * Team: Join a collaborative, ambitious group with backgrounds at top tech and consulting firms. Not all candidates will check all of the requirements listed above and that’s ok! We are open to great people from non-traditional backgrounds. Vendelux is proud to be an equal opportunity workplace. 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, or veteran status.

We are seeking an exceptional Staff Machine Learning Engineer to lead the design and development of the next generation of our AI-driven fraud detection platform. You will architect large-scale ML systems that detect and prevent fraud in real time combining deep machine learning expertise with scalable engineering and domain knowledge in financial systems. This is a hands-on technical leadership role, shaping our fraud prevention roadmap and ensuring the platform evolves to meet emerging threat patterns through automation, data intelligence, and generative AI–enhanced detection models. Responsibilities • Architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis., • Develop and maintain end-to-end ML pipelines: data ingestion, feature engineering, model training, deployment, and monitoring., • Leverage modern AI techniques, including generative AI, to improve fraud pattern discovery and model robustness., • Design and implement real-time decision systems, integrating with transaction or behavioral data streams., • Collaborate closely with engineering, security, and risk teams to define data strategy and labeling frameworks., • Lead experimentation on model explainability, drift detection, and adversarial robustness for fraud prevention use cases., • Promote engineering excellence — automation, CI/CD, reproducibility, observability, and model governance., • Mentor and guide ML and software engineers, fostering best practices and innovation., • 5+ years of experience building ML or AI systems in production; at least 2+ in fraud, risk, or anomaly detection domains., • Proven track record designing and maintaining ML pipelines at scale., • Expertise in Python, ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn), and CI/CD (GitHub Actions, Jenkins, or similar)., • Strong understanding of supervised / unsupervised learning, anomaly detection, and statistical modeling., • Experience with big data and distributed systems (e.g., Spark, Kafka, Flink, or similar)., • Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes)., • Strong collaboration, communication, and cross-team leadership skills., • Prior experience with fraud or financial crime detection, identity verification, or risk scoring systems., • Domain expertise in banking, payments, or transaction monitoring, • Experience fine-tuning or adapting generative AI / large language models for pattern generation or synthetic data augmentation., • Familiarity with streaming analytics, graph ML, or time-series anomaly detection., • Knowledge of model governance, bias mitigation, and regulatory compliance in fraud contexts., • Contributions to fraud detection research, open-source, or AI publications.

About us: LifeMD is a leading digital healthcare company committed to expanding access to virtual care, pharmacy services, and diagnostics by making them more affordable and convenient for all. Focused on both treatment and prevention, our unique care model is designed to optimize the patient experience and improve outcomes across more than 200 health concerns. To support our expanding patient base, LifeMD leverages a vertically-integrated, proprietary digital care platform, a 50-state affiliated medical group, a 22,500-square-foot affiliated pharmacy, and a U.S.-based patient care center. Our company — with offices in New York City; Greenville, SC; and Huntington Beach, CA — is powered by a dynamic team of passionate professionals. From clinicians and technologists to creatives and analysts, we're united by a shared mission to revolutionize healthcare. Employees enjoy a collaborative and inclusive work environment, hybrid work culture, and numerous opportunities for growth. Want your work to matter? Join us in building a future of accessible, innovative, and compassionate care. About the role: LifeMD is seeking a highly motivated and experienced DevOps Engineer to join our dynamic Technology team. This individual will serve as a critical link between software development and IT operations, playing a pivotal role in designing, implementing, and maintaining automated processes for software delivery, infrastructure management, and system monitoring. The primary objective is to accelerate our release cycles, enhance system stability, and improve overall operational efficiency across our diverse cloud infrastructure, all while strictly adhering to stringent healthcare industry compliance standards, including HIPAA and SOX. Responsibilities: • Design, implement, and manage scalable, secure, and cost-effective cloud infrastructure primarily on AWS using Terraform, • Develop and version control Terraform modules for automated provisioning, updating, and de-provisioning of cloud resources (e.g., EC2, S3, RDS, VPC, Lambda in AWS), • Design, build, and optimize automated CI/CD pipelines using GitHub Actions for various applications and microservices, • Integrate automated testing, static code analysis, security scanning, and deployment steps into CI/CD workflows for high quality and secure releases, • Implement, configure, and maintain comprehensive monitoring, logging, and alerting solutions (e.g., AWS CloudWatch, Datadog) for all environments, • Develop custom dashboards, metrics, and alerts for real-time visibility into system health, performance, and security events, • Proactively analyze logs and metrics to identify potential bottlenecks and issues, • Participate in on-call rotations to swiftly respond to and resolve critical incidents, ensuring high service availability, • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent work experience, • 3+ years of progressive experience as a DevOps Engineer, Site Reliability Engineer (SRE), or similar role in a cloud-native environment, • Expert-level proficiency in AWS services (EC2, S3, RDS, VPC, Lambda, IAM, CloudWatch, etc.). Solid understanding and working knowledge of GCP, Digital Ocean, and Azure concepts and services, • Expertise in Terraform for multi-cloud infrastructure provisioning and management, including experience with state management, modules, and workspaces, • Highly skilled in using Git and GitHub for source code management, branching strategies, and pull request workflows, • Hands-on experience with implementing and managing monitoring and logging solutions (e.g., AWS CloudWatch, Datadog, ELK stack), • Solid understanding of cloud networking concepts, including VPCs, subnets, routing tables, load balancers, DNS, and VPNs, • Strong understanding of cloud security best practices, identity and access management (IAM), security groups, network ACLs, and data protection principles, • Working knowledge of database concepts and experience with various database types (e.g., MongoDB, PostgreSQL, MySQL), • Strong understanding and implementation of Ansible for cloud workload automations, • Hands-on experience with Linux (Ubuntu) and update/patching mechanisms Preferred Qualifications: • Experience in the healthcare industry or a highly regulated environment, with a demonstrable understanding of compliance requirements (e.g., HIPAA, SOC2), • Relevant cloud certifications (e.g., AWS Certified DevOps Engineer - Professional, AWS Certified Solutions Architect - Associate/Professional), • In-depth experience with GitHub Actions for designing, implementing, and maintaining automated build, test, and deployment pipelines. Familiarity with other CI/CD tools, • Strong proficiency in Python and Bash scripting for automation, system administration, and tool development., • Knowledge of Node.js or PHP, • Experience with Docker for containerizing applications. Familiarity with container orchestration platforms (e.g., Kubernetes, AWS ECS), • Exceptional problem-solving and analytical skills with a proactive approach to identifying and resolving complex technical issues, • Excellent communication and interpersonal skills, capable of effectively collaborating with diverse cross-functional teams (developers, QA, product, security), • Strong sense of ownership, accountability, and ability to work independently while also being a strong team player, • A continuous learning mindset, staying updated with emerging technologies, industry trends, and best practices in the DevOps space, • Meticulous attention to detail and strong documentation skills, • Salary Range: $130,000-$140,000, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Unlimited PTO Policy, • Paid Holidays, • Short Term & Long Term Disability, • Training & Development

Senior Infrastructure Engineer (L1) ABOUT ACTIVEVIAM If you believe that data analytics can contribute to making Financial Services a more accountable and risk-aware business in an ever-increasing volatile environment, ActiveViam is the right place for you. Founded by a group of industry experts, ActiveViam understands the data analytics challenges faced by financial institutions across trading desks, risk, and compliance. That is why we pioneered the use of high-performance analytics in finance, helping the largest investment banks, asset managers and hedge funds make better decisions, explain results with confidence, and simulate the impact of their decisions. Unlike most BI players, we are not generalists. Our mission is to deliver train of thought analysis on terabytes of data in the most cost-effective way so our customers can explain what happened with confidence and model the scenarios that will optimize their business. We are a pure player specializing in risk data analytics for one of the fastest-moving and most regulated industries with a presence in the world’s leading financial marketplaces – London, New York, Singapore, Hong Kong and Paris. Our 150+ employees take pride in being experts in developing and supporting a purpose-built analytics technology that has been recognized as “FRTB Product of the Year” by Risk and the “Award for Excellence for Regtech, Big Data and Analytics” by Regulation Asia. Choose to be different. Join ActiveViam and make a difference in data analytics for the financial services industry. Role Overview As a key member of ActiveViam’s global infrastructure team, you will architect, implement, and maintain modern, secure, and scalable IT infrastructure to support our business and clients. This role goes beyond day-to-day support—you’ll drive automation, standardization, and continuous improvement of our hybrid cloud environment (Microsoft 365, Azure, and supporting services) while ensuring robust identity, network, and endpoint security. Key Responsibilities • Design, implement, and maintain core infrastructure services across cloud and on-prem environments, including identity management (Azure AD/Entra), endpoint management, and secure networking., • Automate provisioning and configuration using Infrastructure-as-Code and modern management tools (e.g., Intune, PowerShell)., • Harden and monitor security posture, including zero trust principles, endpoint detection & response (EDR), conditional access, and security baselines., • Lead problem resolution for complex infrastructure issues and proactively drive root-cause analysis to prevent recurrence., • Collaborate cross-functionally with R&D, Customer Success, Operations, and IT Infrastructure Team to align infrastructure with business needs and compliance requirements (e.g., ISO 27001, SOC 2, DORA)., • Optimize performance and cost-efficiency of cloud services, storage, and networking., • Contribute to IT strategy, evaluating emerging technologies and advising on standards, policies, and best practices. Qualifications & Experience • Proven experience (3+ years) managing modern IT infrastructure in a hybrid cloud environment., • Strong expertise in Microsoft 365 & Azure, including identity management, conditional access, Intune, and device compliance., • Solid understanding of networking fundamentals (routing, switching, DNS, DHCP, VPN, SD-WAN) and cloud networking concepts., • Proficiency in automation and scripting (PowerShell, Python, or similar)., • Strong grasp of cybersecurity principles and experience implementing security controls in line with frameworks like ISO 27001 or NIST., • Excellent communication skills and ability to work across global teams., • Bachelor’s degree in IT, Computer Science, or equivalent professional experience. Preferred Skills • Cloud certifications (e.g., Azure, Atlassian, AWS Administrator/Architect)., • Experience with containerization (Docker, Kubernetes) or DevOps practices., • Exposure to SIEM/SOAR and advanced monitoring tools., • Familiarity with regulatory frameworks such as SOC 2, DORA, or GDPR.

Location: New York, NY (100% On-site) Compensation: $175,000 - $300,000 (Base Salary) + Highly Competitive Equity We are a rapidly growing AI company that has achieved product-market fit by equipping accountants with a team of autonomous AI Agents to tackle real workflows. Backed by world-class investors and experiencing 10x revenue growth in the last five months, we are scaling fast. We are looking for an Applied ML Engineer to take full ownership (Responsible Party, or RP) of end-to-end projects, reasoning, experimenting, and shipping agent systems that get smarter over time. This is a high-autonomy role for engineers who want to operate like researchers and builders simultaneously. You will have the freedom to scope projects, define success, run experiments, and decide when systems are ready to ship, always designing for clarity and instrumenting deeply. What you’ll be doing: • Agent System Evolution: Design and iterate on multi-agent architectures that automate complex, real accounting workflows. Encode autonomy boundaries, tool usage, and fallback behaviors to make agents safe and reliable., • Evaluation & Experimentation: Build scalable evaluation pipelines (offline and online) to automatically run hundreds of experiments. Define golden tasks, labeling strategies, and metrics to track regressions, error taxonomies, and drive closed-loop improvement., • Context & Retrieval Engineering: Architect prompt stacks and instruction hierarchies to structure model reasoning. Build retrieval and indexing pipelines that surface context efficiently, including parsing messy documents into structured representations., • Model Optimization: Route, evaluate, and optimize models under real-world constraints (latency, cost, accuracy). Design guardrails and validation layers to keep behavior safe and deterministic., • Full Ownership (RP): Operate as the Responsible Party—scoping projects with clarity, writing concise specs, building/testing/instrumenting systems end-to-end, and driving delivery., • Experience: 3 to 10 years of experience developing complex data-heavy products and Machine Learning models., • Technical Stack: Strong proficiency in Python and experience with database systems like Postgres., • Engineering Fundamentals: Strong software engineering fundamentals and the ability to instrument deeply and design for clarity., • Autonomy & Ownership: Proven ability to operate with full autonomy, taking ownership from first principles to successful delivery., • AI/ML Experience: Experience designing and implementing systems that leverage LLMs or complex machine learning models in production., • Mindset: A mix of high competence, work ethic, eagerness to learn, and a commitment to building production-quality agentic systems., • Equity & Compensation: Competitive salary ($175,000 - $300,000) with highly competitive equity compensation that is well above market rate., • Growth & Ownership: Unprecedented ownership and responsibility from day one in an extremely fast-growing company (10x revenue growth in 5 months)., • Work Policy: 100% On-site work, 5 days a week, in our New York City (Flatiron) office, fostering interdisciplinary collaboration., • Health: 100% employer-paid medical, dental, and vision insurance., • Office Perks: In-office lunches provided., • Team: Join a dedicated, high-caliber team backed by world-class investors and leaders from the ML and fintech communities., • Visa Support: Visa sponsorship is available for all types. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. Stripe's Applied ML, Data Science, Risk, and Payments organizations are excited to offer PhD machine learning engineering internships for the summer of 2026. This is an exceptional opportunity to contribute to critical projects that directly enhance Stripe's suite of products, focusing on areas such as foundation models used for dozens of tasks e.g. fraud detection, enhanced support, and predicting user behavior. As an intern, you'll tackle challenging problems at the intersection of finance, technology, and data. You'll have the chance to work on creative projects like the Stripe Assistant and the Stripe Foundation Model, which leverage machine learning to revolutionize how businesses interact with financial services and data. • Develop and deploy large-scale machine learning systems that drive significant business value across various domains., • Engage in the end-to-end process of designing, training, improving, and launching machine learning models., • Write production-scale ML models that will be deployed to help Stripe enable economic infrastructure access for a diverse range of businesses globally., • Collaborate across teams to incorporate feedback and proactively seek solutions to challenges., • Rapidly learn new technologies and approaches, demonstrating a strong ability to ask insightful questions and communicate the status of your work effectively., • A deep understanding of computer science, obtained through the pursuit of a PhD in Computer Science, Machine Learning, or a closely related field, with the expectation of graduating in winter 2026 or spring/summer 2027., • Practical experience with programming and machine learning, evidenced by projects, classwork, or research. Familiarity with languages such as Python, Scala, Spark and libraries such as Pandas, NumPy, and Scikit-learn., • Expertise in areas of machine learning such as supervised and unsupervised learning techniques, ML operations, and possibly experience in Large Language Models or Reinforcement Learning., • Demonstrated ability to work on collaborative projects, with experience in receiving and applying feedback from various stakeholders., • A proactive approach to learning unfamiliar systems and a demonstrated ability to understand complex systems independently. Intent to return to the degree-program after the completion of the internship/co-op. You Might Also Have: • Two years of university education or equivalent experience, with in-depth knowledge in specific domains of machine learning., • Published and presented peer-reviewed articles in top-tier venues., • Experience in writing high-quality pull requests, maintaining good test coverage, and completing projects with minimal defects., • Familiarity with navigating new codebases and managing work across different programming languages., • Excellent written communication skills to clearly articulate your work to both team members and wider Stripe audiences. Please submit the following with your application: • A detailed resume or LinkedIn profile showcasing your work history., • Examples of relevant work and your approach to learning, such as GitHub repositories, StackOverflow contributions, or other project portfolios. Join us for an unforgettable summer internship and help shape the future of global commerce. At Stripe, you won't just be working on theoretical projects; you'll make a tangible impact on the world's economic infrastructure.

THE POSITION Our roster has an opening with your name on it We’re looking for a Machine Learning Engineer to join our growing team and help design, build, and deploy machine learning systems that power real-world applications. In this role, you’ll work closely with data scientists, engineers, and product managers to bring models from experimentation to production and ensure they perform reliably at scale. You’ll contribute across the ML lifecycle—including feature engineering, model training, evaluation, deployment, and monitoring—while growing your skills in software development, ML Ops, and scalable infrastructure. If you’re excited by this challenge and want to work within a dynamic company, then we’d love to hear from you. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs. THE GAME PLAN Everyone on our team has a part to play ML Pipeline Development • Collaborate with data scientists to implement and optimize machine learning models for production use., • Develop and maintain pipelines for data preparation, training, and model deployment., • Build tools and services to support real-time and batch inference workloads. Collaboration & Execution • Translate product and business requirements into ML-driven solutions., • Participate in agile workflows, including sprint planning, code reviews, and design discussions., • Work with engineers and analysts to ensure data integrity and efficient feature computation. Quality & Reliability • Implement monitoring and alerting to track model performance and detect issues such as data drift., • Write maintainable, testable code and follow best practices in version control and documentation., • Help automate training, deployment, and retraining workflows using ML Ops tools. THE STACK: Databricks, AWS, Spark, Python, MLFlow, (Generally available ML Libraries), Terraform, Github, Buildkite THE STATS What we're looking for in our next teammate • 2–4 years of experience in software engineering, machine learning, or data science., • Proficiency in Python, with exposure to ML libraries (Scikit-learn, TensorFlow, or PyTorch)., • Solid understanding of data structures, algorithms, and software engineering principles., • Hands-on with SQL and comfortable working with large datasets., • Familiarity with distributed computing (Apache Spark preferred)., • Exposure to ML deployment & monitoring practices or strong interest in learning them., • Bonus: experience with Databricks, MLflow, or similar ML Ops tools., • Experience with cloud services (AWS preferred, GCP or Azure also valuable). Preferred Qualifications • Experience with containerization (Docker, Kubernetes is a plus)., • Familiarity with orchestration/ML Ops tooling (SageMaker, MLflow)., • Understanding of model evaluation metrics and techniques for improving generalization., • Interest in or experience with real-time ML systems, recommendation engines, or NLP. About You You might be a great fit if you often ask yourself questions like: • "How do complex systems actually work end to end, and how can I make them better?", • "What makes software reliable, and how do you design for that from the start?", • "Where’s the balance between moving fast and building things that last?", • "How do small changes in code or data ripple out into big user or business impacts?", • "What can I automate today that will save everyone headaches tomorrow?", • "How do different roles (engineers, data scientists, product managers, etc.) fit together to ship something meaningful?", • "What skills should I grow next if I want to level up from strong engineer to strong ML engineer?" This role will join our Personalization team, working directly with senior engineers to: • Build and optimize ML pipelines and feedback loops for our flagship recommender systems., • Improve observability, monitoring, and on-call reliability across models., • Partner with FinOps to optimize Spark jobs and cloud resource usage., • Adopt and integrate AI Foundations platform tools into workflows. This person will have mentorship from Staff ICs and the opportunity to grow, directly contributing to the revenue-driving backbone of the company. ABOUT FANDUEL FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product. In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico. The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia. FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT). PLAYER BENEFITS We treat our team right We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: ___. *Benefits differ across location, role, and level. FanDuel is an equal opportunities employer and we believe, as one of our principles states, "We are One Team!". As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included. The applicable salary range for this position is $116,000 - $152,250 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws. FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email ___. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. #LI-Hybrid

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. The Horizons team leads Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude 3.5 and 3.7 Sonnet. Our work spans several key areas: • Developing systems that enable models to use computers effectively, • Advancing code generation through reinforcement learning, • Pioneering fundamental RL research for large language models, • Building scalable RL infrastructure and training methodologies, • Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and work hand-in-hand with dedicated RL engineering teams to implement our research at scale. The Horizons team sits at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. As a Research Engineer on the Horizons team, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation. • Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters. Help scale our systems to handle increasingly complex research workflows., • Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models., • Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation workflows., • Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research., • Are proficient in Python and async/concurrent programming with frameworks like Trio, • Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX), • Have industry experience in machine learning research, • Can balance research exploration with engineering implementation, • Enjoy pair programming (we love to pair!), • Care about code quality, testing, and performance, • Have strong systems design and communication skills, • Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems, • Familiarity with LLM architectures and training methodologies, • Experience with reinforcement learning techniques and environments, • Experience with virtualization and sandboxed code execution environments, • Experience with Kubernetes, • Experience with distributed systems or high-performance computing, • Experience with Rust and/or C++, • Formal certifications or education credentials, • Academic research experience or publication history Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is: Annual Salary:$340,000—$690,000 USD Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

MIO Partners, Inc. (MIO) provides proprietary investment products to McKinsey’s retirement plan and partners and offers independent, high-quality financial advice to McKinsey’s partners. We manage a wide array of investment vehicles with significant expertise and a long and successful track record in alternative strategies, including hedge funds and private equity. We have a multibillion-dollar portfolio of assets under management, and we manage assets for and advise only McKinsey-related clients; we do not accept outside or third-party investments. MIO is a values-based organization that is strongly aligned with our investors’ interests. MIO measures success as performance relative to a market-based benchmark. MIO, a 250+ person registered investment adviser, provides ample opportunities for somebody with an entrepreneurial drive to shine. We strive to meet the highest professional standards and build an organization that attracts, develops, and retains exceptional people. MIO is a wholly owned subsidiary of McKinsey, but our activities are kept entirely separate from those of the consulting Firm. Primary responsibilities The successful candidate will have extensive technical experience working with AWS cloud technologies, preferably for financial services firms, such as asset managers, hedge funds, and/or broker/dealers. The new hire must lead by example and work collaboratively to: • Design and maintain monitoring systems and dashboards, • Architect and manage cloud infrastructure (AWS, Azure) with security, stability, and cost in mind, • Implement CI/CD pipelines for reliable software delivery, • Establish infrastructure as code practices using CDK, GitLab, AWS developer tools, • Contribute to MIO application codebase to follow resiliency and performance best practices, • Ensure application architectures follow cloud best practices for reliability, security, performance, and efficiency, • Work with development teams to improve deployment processes and system reliability, • Collaborate with business owners to translate business requirements into technical solutions with an eye toward technology consistency and best practices, • Work with engineers, business users, and other stakeholders to understand their needs and ensure solutions align with business goals, • Maintain detailed documentation for reference architectures, design patterns, and system configurations, • Raise the bar on our development capabilities, standards, and processes, • Synthesize requirements gathered from various teams within/outside of IT and suggest creative solutions; where appropriate, guiding MIO to “do it the right way”, • Following a scrum methodology, organize with end users, business analysts, and other architects and developers, • Recommend positive steps toward standardizing development processes, including technology selection, deployment steps, code reviews, and IT tools, • Partner with development, QA, and AppSecOps teams to promote standardization, consistency, and improved security posture Our applications are primarily developed using Python/Django and libraries such as Pandas, NumPy, PL/SQL. In addition, we utilize SQL Server, MySQL, Elastic Search, Redis, Kafka, Tableau, and various third-party APIs and data sources. Our applications are hosted in AWS using docker containers on ECS/EC2 platforms. Primary responsibilities estimated percentage allocation • 25% Technology Leadership: design, mentoring,, • 15% Relationship Building: requirements, • 60% Heads Down Development Desired background • At least 8+ years of hands-on experience in DevOps, SRE, or platform engineering roles, • Bachelor of science in computer science or other related discipline (although strong experience with a less directly related degree will be considered), • Strong experience in AWS Cloud technologies, • Knowledge of CI/CD pipeline tools (GitLab pipelines, Jenkins etc.), • Understanding of monitoring and observability tools (ELK, Dynatrace, Datadog etc.), • Experience with microservices, serverless architectures, and containerization, • Proficiency in AWS cloud platform including infrastructure-as-code and CI/CD pipelines, • Formal problem-solving and/or analytical training/experience a plus, as is experience working with management consultants, • Good intuition for end-user requirements gathering; iterative and collaborative approach to design, • Strong client relationship management skills and excellent written/verbal communication skills to interact at all levels MIO Partners, Inc. (MIO) is an equal opportunity employer. MIO will consider all applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status. MIO has adopted a flexible, hybrid model that supports a blend of in-office and remote work. Our office is in New York City. Certain US states require MIO Partners, Inc. to include a reasonable estimate of the salary range for this role. Actual salaries may vary and may be above or below the range based on various factors, including, but not limited to an individual’s assigned office location, experience, and expertise. Certain roles are also eligible for bonuses, subject to MIO’s discretion and based on factors such as individual and/or organizational performance. Additionally, MIO offers a comprehensive benefits package, including medical, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement program, financial guidance, and paid time off. Base salary range $175,000 - $200,000 USD MIO Partners, Inc. (MIO) is an equal opportunity employer. MIO will consider all applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status. We are committed to protecting your privacy. Please review our ___ for a detailed explanation of how we collect, use, and protect your personal information.

Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights. With decades-long expertise in the financial services industry and a relentless focus on the future, Curinos technology and analytics ecosystem allows clients to anticipate customer needs and optimize their go-to market decisions in an increasingly competitive market. We operate in a hybrid/remote model, and this position is fully remote in the United States or hybrid in the Greater New York, Chicago, or Boston metropolitan areas. We are looking for a Senior Machine Learning Engineer to support our Databricks-native (i.e., Databricks Workflows, Delta Live Tables, Databricks Asset Bundles, Unity Catalog, etc.) machine learning and AI platform. In this role you will operationalize production-grade machine learning and AI models, manage deployments, and ensure robust monitoring and governance. In addition to solid technical skills, this role requires strong communication across functions, including data scientists, data engineers, and product managers; ability to drive clarity from requirements; and active participation and sense of ownership of end-to-end design, implementation, and testing of complex ML and AI workflows in a collaborative team environment. Responsibilities: * Manage and support ML and AI model lifecycle using Databricks and MLflow: training, tracking, packaging, deployment, monitoring, agentic AI safety and generative AI guardrails. * Automate and optimize model deployment pipelines for batch and real-time use cases. * Collaborate with data scientists to productionize models, ensuring scalability, reproducibility, and reliability. * Implement CI/CD pipelines for ML and AI workflows, including testing, version control, and rollback strategies. * Monitor deployed models for performance drift, data quality, and SLA adherence. * Support governance and compliance requirements: model registry usage, auditability, reproducibility). * Troubleshoot and resolve issues related to model training, deployment, and integration with downstream systems. * Provide operational support for Databricks Workflows, Jobs, and Delta Lake integration. * Document processes, automation frameworks, and operational runbooks. * Bring best practices to bear on the team’s products and educate the team members. Salary Range: $110,000 to $140,000 (plus bonus) Desired Skills & Expertise: * Strong hands-on experience with Databricks (Workflows, Delta Lake, MLflow). * Proficiency with MLflow for experiment tracking, model registry, and deployments. * Experience deploying models to Databricks Model Serving, REST APIs, or external endpoints. * Familiarity with Python, Spark, and SQL for data and ML workflows. * Solid understanding of CI/CD tools (e.g., Databricks Asset Bundles, Jenkins, etc.). * Competency with shell scripting in a Linux environment nice to have * Exposure to contemporary big data and AI stacks and technologies. Typical examples include things such as Yarn, AWS, Spark, Databricks, distributed computing, chatGPT, Claude, Copilot. but this is not an exclusive list. Our platform of choice is Databricks. * Some experience with real-time processing nice to have * Solid understanding of data structures and algorithms * Some experience with production support * Experience with 3rd party marketing clouds (such as Salesforce) nice to have * Self–discipline and willingness to learn * Solid verbal and written communication skills * Team player and ability to work well with others in an intellectually challenging environment. Why work at Curinos? • Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from, • Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!, • Competitive annual leave, floating holidays, volunteering days and a day off for your birthday!, • Learning and development tools to assist with your career development, • Work with industry leading Subject Matter Experts and specialist products, • Regular social events and networking opportunities, • Collaborative, supportive culture, including an active DE&I program We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need! If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at ___ and we’ll do everything we can to help. Inclusivity at Curinos: We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.

The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts, and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build—from flagship playlists like Discover Weekly and Daily Mix to entry points like Home and Search. The Next Generation Sessions (NextGen) product area within PZN is reimagining listening beyond the playlist. We invent cutting-edge personalized sessions like AI DJ, AI Playlist, Blend, Jam, and vertical feeds for discovering music and podcasts. Our team of ~100 engineers, scientists, product managers, and domain experts in music, podcasts, and voice collaborate across New York, Boston, London, Stockholm, and remote locations from Eastern US through Central European time zones. As an MLE II / AI Engineer in NextGen, you’ll be part of a cross-functional team inventing new AI-powered listening experiences. You’ll explore emerging AI capabilities, prototype end-to-end products, and help bring new features from concept to launch to millions of users. This is a fast-paced, high-growth role ideal for someone early in their career who is eager to learn by building, collaborate closely with senior engineers and researchers, and stay at the forefront of AI applied to music and talk content. If you're passionate about the intersection of AI and music and podcasts, obsessed with exploring new AI capabilities, and excited to shape the future of audio, bring your ideas—we’ll invent the next generation of audio together. • Rapidly prototype, iterate, and ship AI-powered music and podcast recommendation experiences using the latest capabilities of LLMs, agent frameworks, and Spotify’s recommender systems, • Continuously explore and evaluate new models, tools, libraries, and product trends—bringing fresh ideas into the team from the frontiers of AI and open-source innovation, • Promote and model best practices in AI engineering—including the use of LLMs and agents to power products, advanced evaluation strategies, and AI-assisted coding tools, • Leverage AI coding assistants to rapidly prototype full-stack MVPs, • Collaborate with cross-functional partners—including design, user research, product, data science, tech research, and engineering—to bring new ideas from concept to launch, • Develop a keen eye for software quality, learning to critically evaluate AI-generated code to ensure it meets Spotify's high standards for correctness, performance, and engineering best practices, • Grow your skills with access to Spotify’s comprehensive career development resources and encouragement to develop across disciplines, • Build a strong foundation and culture in AI engineering by leveraging the state of the art, learning from mentors, pairing with Staff engineers, and shipping code that reaches hundreds of millions of users, • You’re a full-stack AI prototyper: building your own projects with modern AI tools, experimenting fast, and iterating based on feedback, • You’re fully plugged into the AI ecosystem—active in online communities, exploring open-source repos, reading papers, trying every new tool you can get your hands on, • You think end-to-end, across the stack—from designing user interactions, to wiring up backends, to building models, to deployment considerations—because you want to see ideas come to life, • You have a working knowledge of machine learning fundamentals and hands-on experience with Python, Java, or Scala and modern ML frameworks like PyTorch or TensorFlow, • You have experience fine-tuning and evaluating LLMsYou have experience building workflows that integrate LLMs and data into autonomous, multi-step workflows, • You have extensive experience crafting prompts to get the results you’re after. You know how to write, improve, and test your prompts to extract value out of LLMs, • You understand the importance of critically reviewing AI-generated code for correctness, quality, and alignment with best practices, • You may have studied AI formally—or you may have taught yourself through hands-on building and deep curiosity, • You thrive in collaborative, interdisciplinary environments and are eager to learn from more experienced engineers, • You’re good at communicating technical topics to less technical peopleYou bring contagious enthusiasm, a creative mindset, and a strong drive to shape the future of AI-powered products., • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have ___ This team operates within the Eastern Standard time zone for collaboration.The United States base range for this position is $138,250- $197,500plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

AI Engineer Location: San Francisco or New York City Pathwork is redesigning life & health insurance jobs for the AI age. We believe the 2.5M professionals in the $1T life and health insurance industry don’t need better tools; they need a new operating system. We’ve already proven it: * 40+ top brokerages and national carriers use Pathwork * Active pilots with multiple top-10 insurance companies * 150%+ QoQ growth, every quarter since launch Built from day one as AI-native, Pathwork uses agentic orchestration, structured data pipelines, predictive models, and generative AI to transform insurance distribution—bringing speed, structure, and intelligence to outdated workflows. * Category-defining product already in use by national brokerages and insurers * $3.75M in funding from top VCs * Deep founder experience: Work closely with experienced founders who’ve built and scaled companies from zero to IPO in insurance and AI * Scenic, focused, intentional: Work from the Presidio in SF or our Domino Park office in Brooklyn—spaces built for walking meetings, deep work, and ambitious thinking. * Early team, deep ownership, real impact: You’ll shape the systems, the stack, and the trajectory of the product. * High-trust & Long-term oriented: Grow with a team that values trust, authenticity, learning, and lasting impact. Your contributions will help shape our product, culture, and the long-term legacy of the company. Python · TypeScript · Node.js · FastAPI · Postgres · Qdrant · LangGraph · Whisper · AWS (Lambda, EC2, ECS, S3) · Terraform · React · Next.js We’re hiring an AI engineer, a full-stack, strategic builder who can take a large project from a working prototype to an industry-defining product. You’ll lead development of our agentic AI systems, owning model orchestration, retrieval, real-time inference, evaluation, and production infrastructure, and collaborating closely with the founding team on product and technical strategy. * Build the engine: Design and own end-to-end agentic systems—retrieval, orchestration, inference, eval, and feedback loops * Scale the stack: Shape our architecture across model interfaces, data pipelines, vector DBs, and streaming infrastructure * Ship fast: Partner with product and design to prototype, test, and launch AI-driven features that deliver real value * Improve performance: Continuously optimize accuracy, latency, and robustness through fine-tuning, eval frameworks, and data iteration * Learn from the field: Join sales and customer calls to understand real-world pain points, pressure-test features, and translate feedback into product improvements * Support growth: Build infrastructure and tools that help the whole company move faster—debugging, observability, agent testing * Build your team: Hire, mentor, and collaborate with engineers who care about craft, velocity, and real-world impact * Have 5–10 years of experience building AI or ML-powered systems, ideally in high-growth or early-stage environments * Have shipped real products that use LLMs, retrieval, orchestration, or streaming inference—not just prototypes * Think full-stack, end-to-end: You’re comfortable moving between modeling, infra, and product-facing code * Have an entrepreneurial mindset and thrive on building from scratch—systems, processes, tools, and the team * Can explain complex ideas clearly, especially to non-technical teammates, customers, and stakeholders * Thrive in ambiguity and take ownership in fast-paced, high-trust environments * Bonus: Experience with vertical software businesses or agentic AI systems * Competitive comp + meaningful equity * Employee-centric benefits including: * High 401(k( match and FSA program * Modern, employer-paid health benefits designed to support you on your terms * Generous PTO policy with clear guidelines so you can take real time off without the guilt or guesswork of “unlimited” PTO * Real ownership, autonomy, and direct collaboration with the founders * A chance to define a category and shape a product from scratch * A hybrid culture anchored in SF and NYC—4 days a week in our Presidio HQ or our Williamsburg office on Domino Park—where you'll work side-by-side with the founding team, shape our rituals, and help create the moments and memories that define our company.

___ is the AI Site Reliability Engineer (SRE) for the enterprise—already trusted by some of the largest companies in the world to troubleshoot, remediate, and even prevent the most complex production incidents. Our mission is to free engineers from endless firefighting and enable them to focus on creative, high-impact work. Our roots remain deeply embedded in AI research, and we’re channeling that scientific rigor and creativity into building the premier AI agent lab for the enterprise. Hence, what we’re proudest of is assembling the most talented yet nicest group of individuals, including researchers from MIT, Harvard, and Berkeley, to world-class engineers from industry: Citadel Securities, Cockroach Labs, Cerebras Systems, Glean, Nuro, Perplexity, Pinecone, and more, to take on one of the hardest problems for AI to solve. Without the entire team, none of this would be possible. As a Backend AI Engineer at Traversal, you’ll play a key role in designing and building the core systems behind our AI site reliability engineer, the infrastructure that enables real-time incident detection, root cause analysis, and automated remediation in some of the most complex production environments. You’ll work closely with our AI and infrastructure teams to productionize novel AI agent architectures and machine learning algorithms, develop high-performance inference APIs, and build internal observability tooling. Your work will span ingesting and reasoning over logs, metrics, and traces at scale, optimizing systems across hybrid SaaS and on-prem deployments, and supporting mission-critical reliability for global enterprises. • Backend System Design & Architecture: Lead the design and implementation of scalable, robust backend systems to support AI agents and observability tools., • API Development: Design and implement high-performance APIs to enable seamless communication between backend systems and frontend interfaces., • Data Management: Ensure efficient data storage, retrieval, and processing, leveraging technologies like PostgreSQL, Redis, or others., • AI Integration: Collaborate with AI engineers to integrate AI-driven insights and solutions into backend systems, and take ownership of API authentication and authorization frameworks., • Performance Optimization: Monitor, optimize, and scale backend services to handle high volumes of data while ensuring low-latency performance., • Collaboration: Partner with frontend engineers, AI researchers, and other teams to ensure a seamless, high-performance user experience., • Mentorship: Provide technical leadership and mentorship to junior engineers, helping to grow a strong backend engineering team., • 3+ years of software engineering experience, with a strong focus on backend development and full-stack systems., • Proven ability to lead in fast-paced startup environments, with limited resources, shifting priorities, and minimal structure., • Strong experience with Python and web frameworks such as FastAPI., • Hands-on experience with React, TypeScript, Next.js, and TailwindCSS to build fast, responsive, and maintainable frontends. React experience is essential, but we’re happy to support learning the other tools., • Experience deploying applications on AWS, working with ECS or Kubernetes, Postgres for data storage, and S3 for large-scale object storage., • Familiarity with observability and monitoring tools, specifically Datadog, to ensure the system is running smoothly and efficiently., • Familiarity with Python-based ecosystems is a plus., • Experience working with Agentic AI systems or in the observability domain., • Background in large-scale, complex, data-driven applications., • Familiarity with AI or LLM-powered products. We offer competitive compensation, startup equity, health insurance, and additional benefits. The U.S. base salary range for this full-time, in-person role in New York is $150,000–$300,000, plus equity and benefits. Our salary ranges are based on location, level, and role. Individual compensation is determined by experience, skills, and job-related knowledge. We’ll make sure you’re fully supported with health insurance, a great tech setup, flexible time off, and plenty of in-office snacks. We offer competitive salary and equity packages, and take thoughtful consideration with every hire on our small, high-impact team. Traversal is fully in-office, 5 days a week, based in New York near Madison Square Park. We have a collaborative, hard-working culture and are energized by building the future of AI-powered software maintenance. Working here means owning meaningful parts of the product, having the flexibility to move fast, and learning constantly. This is a place to grow your career, make a real impact, and help define a new category of infrastructure software.

Merciv is pioneering autonomous retail intelligence through EVA (Evolving Virtual Analyst), our agentic AI platform that's transforming how the world's largest retailers operate. We don't just provide insights -- we enable AI agents to actively manage critical business functions from consumer intelligence to inventory optimization to competitive analysis. We've intentionally stayed under the radar while building something transformative. Our platform already powers retail intelligence for Fortune 500 leaders including Gap Inc. (and their portfolio brands like Old Navy, Banana Republic, and Athleta), Hain Celestial (Terra, Celestial Seasonings, etc.), and Boston Beer Company (Samuel Adams, Truly, etc.). Fresh off a $14M Series Seed, we're scaling our team of innovators as we prepare for significant growth in 2025-26. We believe in making every feature intuitive and every component interactive, helping our users leverage the tools they recognize in a whole new light. Our lean, agile team thrives on innovation and autonomy. Here, you won't just fill a role—you'll shape the future of our product and company. We embrace a 'many hats' approach, offering unparalleled opportunities for growth and impact. Our work environment thrives on creativity and cutting-edge technology, built for those eager to shape the future of human-AI collaboration. If you’re excited about being a part of a fast-paced, innovative startup culture and making a significant impact on client business, Merciv is the place for you. Join us as we expand the horizons of retail intelligence and deliver unparalleled value to our clients. * Multiple Fortune 500 enterprise customers * Strong distribution partnerships driving majority of revenue * Platform managing millions of data points across retail ecosystems * Small (Sub-20) team of exceptional AI researchers, engineers, and operators * 50,000+ users on our platform within 12 months * $20M+ ARR by end of 2026 * Category leadership in autonomous retail operations * Series A fundraise in next 12 months Merciv is transforming retail through autonomous AI that doesn't just analyze businesses - it helps run them. Our platform powers some of the largest retail organizations in the world, processing data and managing workflows across millions of datapoints. We're building the infrastructure that enables AI agents to inform consumer-facing strategies, make million-dollar inventory decisions, optimize pricing in real-time, and orchestrate complex retail operations 24/7. As we scale our enterprise platform, we need a Senior DevOps Engineer who can build and maintain the rock-solid, secure infrastructure that autonomous commerce demands. This is your chance to architect the systems powering the future of retail AI. You'll own the infrastructure that supports AI agents making split-second decisions for major retailers. Working closely with our ML and backend engineers, you'll ensure our platform maintains 99.97%+ uptime while handling Black Friday-level traffic every day. This is a hands-on role where you'll build the secure, scalable systems that enterprise retailers trust with their entire operations. In this role, you'll be the guardian of infrastructure that must be enterprise-grade (SOC 2, GDPR, ISO 27001 compliant) while maintaining startup agility. Your work directly impacts whether a retailer's AI can respond to market changes in milliseconds or minutes - a difference measured in millions of dollars. * Scale AI Infrastructure: Architect and optimize infrastructure supporting high-volume daily agentic decisions * Ensure Enterprise Reliability: Build systems that maintain 99.97% uptime for mission-critical retail operations across Fortune 500 clients * Automate Everything: Develop robust CI/CD pipelines for rapid ML model deployment and infrastructure updates without downtime * Secure Sensitive Data: Implement and maintain SOC 2, GDPR, and ISO 27001 compliant infrastructure for enterprise retail data * Optimize AI/ML Workflows: Partner with engineers to streamline model training, deployment, and inference pipelines at scale * Champion GitOps: Implement infrastructure-as-code practices that let us scale from hundreds to thousands of AI agents seamlessly * Monitor Autonomous Systems: Build observability into distributed agent networks processing millions of retail data points * Enable Multi-Tenancy: Design secure, isolated environments for enterprise clients while maintaining operational efficiency * Integrate Enterprise Systems: Support seamless connections with Shopify Plus, SAP, Oracle Retail, and other major platforms * Own Production Excellence: Lead incident response for a platform where minutes of downtime could mean millions in lost revenue * 6-10+ years of industry experience with at least 4 years in hands-on DevOps roles * 4+ years managing cloud infrastructure in production (AWS strongly preferred) * 2+ years of production Kubernetes experience (EKS preferred) Cloud & Infrastructure * Expert-level AWS knowledge (EC2, EKS, Lambda, S3, RDS, IAM, Secrets Manager, KMS) * Advanced Infrastructure-as-Code expertise with Terraform and Terragrunt * Strong GitOps experience and configuration management (Ansible) * Hands-on experience with bare metal configuration and machine templates Containers & Orchestration * Advanced Docker knowledge and container debugging skills * Production Kubernetes with Helm, FluxCD, and KEDA * Container-based deployment strategies (blue-green, canary, rolling) Programming & Automation * Required: Strong Python and Bash scripting for automation and CLI tool development * CI/CD pipeline design with GitHub Actions and other platforms * Ability to write robust, production-ready automation Monitoring & Reliability * Experience with observability stacks (NewRelic preferred, CloudWatch, Prometheus/InfluxDB) * Distributed tracing, log aggregation, and alerting strategies * Root cause analysis and post-mortem expertise Security & Networking * Deep understanding of network security, load balancing, and DNS * IAM best practices, key management, and secret rotation * Compliance experience (SOC2, GDPR) and zero-trust architecture principles * Threat modeling capabilities with a proactive security mindset Systems * Solid Linux administration and system debugging skills * Strong networking fundamentals and troubleshooting abilities At Merciv, you'll tackle unique challenges at the intersection of AI, real-time systems, and enterprise retail: * Extreme Scale: Support distributed AI agents making high-volume decisions daily across consumer insights, inventory, pricing, and promotions * Ultra-Low Latency: Maintain sub-30ms decision latency for real-time retail operations * Multi-Tenant Architecture: Securely isolate data and compute for competing retailers on the same platform * ML Operations: Enable rapid iteration of AI models while ensuring zero-downtime deployments * Enterprise Integration: Seamlessly connect with legacy retail systems and modern cloud platforms * Compliance at Speed: Maintain strict regulatory compliance without sacrificing deployment velocity * Backend or full-stack development experience * AI/ML infrastructure experience (model serving, GPU clusters, training pipelines) * Experience with real-time, high-throughput data systems * Multi-tenant SaaS platform expertise * Retail or e-commerce domain knowledge * eBPF for advanced observability * Experience with Terraform Cloud at scale * Service mesh technologies * Multi-region deployment expertise for global retail operations * SecOps experience at enterprise scale * Experience with event-driven architectures * Knowledge of streaming platforms (Kafka, Kinesis) * Ownership Mentality: Track record of owning critical infrastructure outcomes * Problem Solver: Strong debugging skills with the ability to work through ambiguous problems * Security-First Mindset: Proactive approach to identifying and mitigating threats * Clear Communicator: Excellent written and verbal communication, comfortable with synch and async work * Documentation Champion: Creates clear runbooks, architecture diagrams, and knowledge bases * Collaborative Spirit: Motivated by helping others succeed and working cross-functionally * Strategic Thinker: Ability to balance immediate needs with long-term infrastructure vision * Growth Mindset: Continuous learner who stays current with DevOps best practices * Revolutionary Impact: Build infrastructure for AI that's literally impacting retailers’ bottom lines autonomously * Cutting-Edge Stack: Work with the latest in AI/ML infrastructure, distributed systems, and cloud-native architectures * Enterprise Trust: Your work enables Fortune 500 retailers to trust AI with million-dollar decisions * Rapid Growth: Join us as we expand from retail into new verticals, scaling our platform globally * Technical Excellence: Collaborate with world-class engineers building autonomous AI agents that are redefining commerce * Ownership & Equity: Significant equity participation in a company transforming a $30 trillion industry * Innovation Freedom: Shape the infrastructure strategy for a platform processing billions in retail transactions * Customer Impact: See your work directly impact major brands * Professional Growth: Budget for conferences, certifications, and staying at the forefront of DevOps and AI infrastructure Compensation Range: $160k - $220k Benefits: * Health * Dental * Vision * Life * Commuter We respect your time and aim to complete our interview process within 2-4 weeks: * Technical screening call (45-60 minutes) * Technical deep dives covering infrastructure, architecture, and hands-on coding * Team collaboration session (preferably in-person) * Culture & vision discussion with leadership Merciv is building the future of autonomous commerce. We're committed to assembling a diverse team of builders who want to revolutionize how the world does business. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

About Traversal ___ is the AI Site Reliability Engineer (SRE) for the enterprise—already trusted by some of the largest companies in the world to troubleshoot, remediate, and even prevent the most complex production incidents. Our mission is to free engineers from endless firefighting and enable them to focus on creative, high-impact work. Our roots remain deeply embedded in AI research, and we’re channeling that scientific rigor and creativity into building the premier AI agent lab for the enterprise. Hence, what we’re proudest of is assembling the most talented yet nicest group of individuals, including researchers from MIT, Harvard, and Berkeley, to world-class engineers from industry: Citadel Securities, Cockroach Labs, Cerebras Systems, Glean, Nuro, Perplexity, Pinecone, and more, to take on one of the hardest problems for AI to solve. Without the entire team, none of this would be possible. The Role As an Infrastructure Engineer on the Data Platform team at Traversal, you’ll design, build, and maintain the backend systems that power our AI-driven observability platform. You’ll work across both cloud and on-prem deployments, ensuring our systems are highly reliable, performant, and capable of supporting large-scale AI operations. This hands-on role blends distributed systems engineering, low-level system design, performance optimization, observability, and AI integration—collaborating closely with engineers across the company to deliver resilient infrastructure that enables our AI agents to diagnose and remediate production incidents in real time. Responsibilities • Architecture & Implementation: Contribute to the design and implementation of scalable, resilient infrastructure systems to power AI-driven root cause analysis and observability workflows. That must work in a variety of environments for on Premises deployments., • Observability Systems: Help build and maintain the internal observability stack—logs, metrics, and traces—used by our agents to understand and act on production issues., • Hybrid Infrastructure: Support cloud and on-prem architecture to serve both SaaS and enterprise customers., • Data Infrastructure: Develop and maintain low-latency, high-throughput pipelines using tools like Kafka, Postgres, and S3 for real-time telemetry workflows., • Tooling & Automation: Contribute to infrastructure-as-code, CI/CD tooling, and deployment systems to increase platform velocity and stability., • Cross-Team Collaboration: Work with AI, platform, and product teams to ensure smooth integration and shared reliability goals., • Using Traversal Internally: Help ensure our own observability tooling supports how we debug, monitor, and operate our systems. Requirements • Professional experience with Rust (our primary language for infrastructure), or strong systems-level programming experience in OCaml, C++, C or Zig., • Experience building distributed systems using a variety of application-appropriate datastores (e.g., Postgres, object storage, etc.)., • Strength in debugging across cloud infrastructure, networking layers, and production systems (instrumentation, provisioning, bug fixes, reliability improvements)., • Experience with performance profiling and optimization in backend systems., • Exposure to low-level system design concepts (e.g., concurrency models, storage internals, OS, and DB level tuning). Nice to Have • Experience making complex software systems observable using logs, metrics, and traces., • Familiarity with Python-based ecosystems., • Background in large-scale, complex, data-driven applications, and familiarity with event streaming platforms such as Kafka., • Experience provisioning and managing infrastructure using Terraform, Pulumi, or other IaC tools., • Familiarity with AI or LLM-powered products. Compensation We offer competitive compensation, startup equity, health insurance, and additional benefits. The U.S. base salary range for this full-time, in-person role in New York is $150,000–$300,000, plus equity and benefits. Our salary ranges are based on location, level, and role. Individual compensation is determined by experience, skills, and job-related knowledge. Why You Should Join Us We’ll make sure you’re fully supported with health insurance, a great tech setup, flexible time off, and plenty of in-office snacks. We offer competitive salary and equity packages, and take thoughtful consideration with every hire on our small, high-impact team. Traversal is fully in-office, 5 days a week, based in New York near Madison Square Park. We have a collaborative, hard-working culture and are energized by building the future of AI-powered software maintenance. Working here means owning meaningful parts of the product, having the flexibility to move fast, and learning constantly. This is a place to grow your career, make a real impact, and help define a new category of infrastructure software.

Fullstack / Frontend Engineer Location: New York City (In-person) Experience Level: 3–5 years About Shade Shade helps companies with large media libraries search, share, access, and review terabytes of data — including images, videos, audio, 3D assets, PSDs, and documents. Our platform combines: * FUSE streaming filesystem (file system in user space) * Distributed AI and indexing backend for vector search, automated metadata, facial recognition, transcription, and GPU transcoding * Sleek web and desktop frontend for review, approval, and sharing We work with clients such as Carv, Salesforce, Grüns, HelloFresh, Related, Deloitte, Motorola, and the Boston Celtics. Role Overview We’re looking for a Fullstack or Frontend Engineer with strong UI/UX instincts and startup experience to help ship features end-to-end — from concept to production. You’ll work closely with our small, fast-moving team to deliver clean, maintainable code that powers our cutting-edge media platform. Responsibilities * Design, develop, and maintain frontend and fullstack features using TypeScript, React, Next.js, and TanStack * Collaborate with backend engineers using Python and Postgres * Build scalable, reliable, and performant interfaces * Participate in code reviews and testing to ensure high-quality releases * Work with complex data (media files, large libraries, GPU/CPU transcoding) * Contribute to product design and process improvement discussions Qualifications * 3–5 years of professional experience as a fullstack or frontend engineer at a startup or scale-up * Strong experience shipping features end-to-end, including frontend implementation and testing * Degree in Computer Science, Computer Engineering, or related field * Proficiency in TypeScript, React,TanStack, * Next.jc * Working knowledge of Python and Postgres * Comfort with modern UI/UX principles and frontend performance optimization * Exposure to or interest in the creative industry (3D, video, photography) is a plus * Experience with media processing, transcoding (FFMPEG), or Python image processing is a bonus Soft Skills * High ownership and accountability * Open to feedback and collaboration while confidently voicing opinions * Passion for elegant, simple solutions (“solve the core issue”) * Thrives in a fast-paced, iterative environment Traits We Avoid * Preference for remote-only work or rigid work-life balance expectations * History of job-hopping (multiple roles under one year) Our Philosophy * Minimal dependencies: reliability starts with deliberate design * Monolith > microservices: transactional consistency is key * Direct problem-solving: fix root causes, don’t patch symptoms * Keep it simple: simplicity always wins Tech Stack * Frontend: TypeScript, React, TanStack, * * Next.jc * Backend: Python, Postgres * Infrastructure: GPU transcoding, distributed AI indexing, FUSE streaming filesystem TopTech Talent is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. 🚫 Third-party recruiters, please do not reach out for this role. Your application has been successfully submitted!

About Us Applecart is the leading technology company creating a new category of “Decision Maker Marketing”. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders that matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart’s platform uses publicly available or fully permissioned data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those that matter most to them. We are hiring a Staff Front End Engineer in our New York office. About the Role As a Staff Front End Engineer at Applecart, you’ll partner closely with cross-functional teams to shape our technical strategy, maintain a sustainable codebase, and ensure we deliver a performant, polished user experience. Key responsibilities include leading cross-team frontend development and infrastructure efforts, defining technical strategy and standards, mentoring engineers, collaborating closely with design and product teams, and ensuring robust monitoring and performance of web applications. What You’ll Do • Contribute to the design, development, and delivery of performant, polished user experiences while setting best practices and repeatable processes for fast, safe development., • Partner with engineering, product, and design leadership to define and execute technical strategy, balancing business priorities, UX, and sustainable architecture., • Drive short- and long-term roadmaps, contribute to organizational vision, and align frontend efforts with company goals., • Ship large features with minimal guidance; collaborate across teams on major initiatives and shared codebases., • Define, maintain, and advocate for internal standards on style, maintainability, and best practices through code review., • Identify and resolve technical debt to improve efficiency, quality, security, and performance., • Mentor engineers at all levels, supporting their technical growth and unblocking their work., • Lead architectural decisions and critical frontend projects to ensure development excellence., • Design and maintain web infrastructure (servers, load balancers, caching) and shape future systems by introducing maintainable and scalable architecture patterns., • Collaborate with design to ensure consistent, high-quality user experiences., • Establish observability standards, including logging libraries, error monitoring integration, and alerting. Experiences and Capabilities You Bring • 10+ years of software development experience in fast-paced tech environments., • 5+ years of experience in infrastructure and architecture, including frontend infrastructure design, frontend hosting and CDN strategies, deployment pipelines, build systems, and monitoring tools., • Deep expertise in frontend technologies, patterns, and best practices, with extensive professional experience in React or another modern JavaScript framework (Vue, Angular, Ember, etc.)., • Proficient in at least one major backend language (e.g., Python, Java, Kotlin) with full-stack exposure, including API design, database work, and application performance monitoring., • Strong product and design sense; skilled at collaborating with cross-functional partners to deliver high-quality, end-to-end experiences., • Proven technical leadership, including defining roadmaps for complex, multi-team projects and mentoring engineers to support their growth., • Self-directed, able to operate autonomously across teams to deliver large-scale impact. This is a hybrid role. Work from home on Monday and Friday and in Applecart’s New York City office Tuesday through Thursday. Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $180,000 - 250,000, based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart’s platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 3 years, we’ve increased our bookings by 8X, grown our headcount by 4X, and we’re cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle’s online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party’s most successful pollsters and strategists, a former CRO of a high-growth tech company with hundreds of millions in ARR, and alums of top-tier organizations like Bain, Amazon and Simpson Thacher., • Our investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, Executive Chairman of WME, and Jennifer Fonstad, Owl Capital Managing Partner, serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV and The Colbert Report, and in Axios, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. Comcast NBCUniversal has announced its intent to create a new publicly traded company ('Versant') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025. Versant Media is seeking a Front-end Developer to help build intuitive interfaces that enable production teams to create, manage, and deploy graphics using industry-standard engines like Viz Engine and Unreal Engine. As part of the Creative Operations department, this individual will support the tools and systems that drive real-time graphics in our production workflows. As a Front-end Developer, you will work closely with graphics and production teams to develop GUI applications that streamline the creation and playback of real-time graphics. These tools are critical to supporting content creators in fast-paced environments such as newsrooms and live show production. You’ll collaborate with engineers and designers to build scalable, user-friendly interfaces that integrate with backend services and graphics engines. Key Responsibilities · Design and develop web-based GUIs for building and controlling real-time graphics. · Collaborate with graphics teams using Viz Engine and Unreal Engine to understand workflows and optimize tool functionality. · Integrate with backend services and APIs to support dynamic data-driven graphics. · Participate in the full software development lifecycle, including requirements gathering, prototyping, development, QA, and production support. · Work with production teams to ensure tools meet the needs of live content creation and playback. Basic Qualifications · Experience in fullstack web development: React, Node.js, TypeScript, JavaScript, HTML/CSS · Familiarity with IDEs: VSCode, JetBrains Rider · Knowledge of API protocols: gRPC, REST, Websockets · Scripting experience: Go, Bash, Python · Proficiency with source control and peer coding: GitHub · Understanding of software development lifecycle and agile methodologies · Comfortable working in Mac/Linux environments Preferred Qualifications · Experience with AI libraries and models: Google Gemini / Vertex · Agile project development experience: Jira · Database knowledge: MongoDB, Redis · Exposure to backend/server-side technologies: C#, Java, C++ · Familiarity with CI/CD tools: Kubernetes, Docker, Rancher, Argo CD · Experience with real-time graphics technologies: Viz Engine, Unreal Engine · Background in newsroom or live show production environments: Avid iNEWS Additional Information This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the ___ of the Careers website. Salary: $130,000 - $160,000 As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to ___. Although you'll be hired as an NBCU employee, your employment and the responsibilities associated with this job likely will transition to Versant in the future. By joining at this pivotal time, you'll be a part of this exciting company as it takes shape.

By catering to both consumers and enterprises, we’re powering a new, open entertainment ecosystem where fans have effortless access to experiences, and teams, venues, and shows have seamless access to their audiences. Because everyone should expect more from ticketing. We are looking for the best and brightest College Interns to join us for Summer 2026, to help us make live entertainment even better! Experience is preferred, but not required – in fact, we look forward to supporting you by teaching you new technologies and mentoring you in software development craft as a member of our world-class engineering team. • Backend (Python, Go), • Frontend Web (Typescript + React), • Mobile (Kotlin, Swift), • Platform (AWS, Docker, Python, Go) This is a 12 week summer Internship Program with a hybrid work style (expected to be on-site 50% of the week) at our corporate office in NYC. • Design cloud-native software architecture, • Solve customer problems, • Scale our software to support a booming business, • Build a many-sided marketplace, • Empower decision-making at a rapidly growing data-driven company, • Run experiments and evaluate new technologies that will determine the future of our business for years to come, • Build performant, beautiful, inclusive user interfaces that delight our users and enhance our brand, • You are currently enrolled college student studying Computer Science or a related degree, • Experience in building or testing software. We'll be interested in hearing about what you've built and how you built it, • Problem solving skills - adept at handling technical challenges. SeatGeek engineers create custom solutions to unique ticketing problems, including venue mapping, inventory tracking, and event matching, • Passion for software craftsmanship and products. You hold yourself and your code to a high standard, • Commitment to your teammates. You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others, • $120 a month to spend on tickets to live events, • Monthly commuter card for transportation, • Subscription to Headspace, • Free lunch & snacks is provided every day in the office, • Weekly planned events like comedy/broadway shows, sports games, museum visits and more, • Housing stipend The compensation for this role is $55/hour USD (based on a 40 hour work week). SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us! To review our candidate privacy notice, ___.

About Orchard Orchard is radically simplifying the way people buy and sell their homes. For the average American, the home purchase and sale process takes months, creates anxiety, and is filled with uncertainty and hassle. Orchard has reimagined the end-to-end experience of buying and selling, from innovative home search tools to find the perfect home to the ability to buy a new home before selling your current one. Orchard customers manage the entire experience through a personalized online dashboard, while also getting the support of best-in-class Orchard real estate agents. Headquartered in New York City with teammates across the US, Orchard has 150+ employees. We have financing from top-tier investors including Revolution, Firstmark, Accomplice, Navitas and Juxtapose, who have also backed the likes of Pinterest, Airbnb, Shopify and Sweetgreen. We're proud to be recognized by Crain's, Inc. 5000, Glassdoor, Parity.org and Built In on their lists of best places to work. About the Role Orchard’s engineering team values clarity, collaboration, and ownership. Our Consumer team builds the systems behind Orchard’s website and the tools that help agents reach new customers. We focus on helping people explore homes, book consultations, and connect with our agents. Our site serves over 150k unique visitors each month and sees about 700k pageviews. The team partners closely with marketing, product, and design to support new campaigns, track performance, and ensure the site is fast and reliable at scale. You’ll work on the backend systems that make this possible. That means building and improving APIs, data services, and integrations that support both customers and agents. Your work will touch many parts of the systems our team owns. We build and maintain the services that bring new customers into Orchard, from the public website and intake flows, to scheduling and consultation booking. We also support the tools that help our agents work with those customers, like managing and syncing leads, powering outreach, and maintaining privacy and consent systems that keep customer data safe and compliant. You’ll work closely with product managers, designers, engineers, and business stakeholders to plan and ship projects. The team is small and moves quickly, so you’ll have real ownership and visibility in your work. We use AI tools such as GitHub Copilot, Cursor, and Claude in our daily work, and look for engineers who are curious about how these tools can make development faster and more effective. This is a full-time hybrid role based in our New York office (2 days per week). What You'll Do Here • Build and maintain APIs and backend services that power Orchard’s website and internal tools. Most of our stack uses Qwik on the frontend and Python with Postgres and OpenSearch on the backend, though some other services use Angular and Go., • Work with product and design to turn ideas into clear, well-scoped projects., • Debug and improve core services to make them faster and more reliable as we prepare for national growth over the next 12-18 months., • Ensure our systems can scale smoothly as our user base continues to grow., • Write clean, tested code that’s easy to understand and maintain., • Help improve developer workflows, testing, and documentation., • Take part in on-call rotations and own the systems you build., • Work with a small team that values communication, trust, and practical solutions. We'd Love to Hear From You if You Have • At least 3 years of experience as a software engineer focused on backend development., • Strong skills in Python or other backend languages, with solid knowledge of APIs and databases., • Experience with tools like AWS, Postgres, SQL, Kafka, Airflow, Docker, or CircleCI is a plus., • Strong debugging and testing habits, and experience working in shared codebases., • Regularly use AI tools like Copilot, Cursor, or Claude - or are genuinely curious and eager to learn how to use them effectively., • A low-ego, problem-solving mindset. You take ownership and improve what you touch., • Interest in a hands-on team where engineers ship quickly and have real impact. For NYC residents only: The pay range for this position in New York City is $130,000-$150,000/year. The actual base pay offered may vary within the range provided depending on job-related knowledge, skills, experience, and location. Stock options and other incentive pay may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, depending on the position offered. This information is provided per the New York City Human Rights Law. Please note that the range provided is applicable only to New York City-based. Base compensation may vary if the work location is outside of New York City. #LI-SD1 Orchard is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable law.

Location: Remote - NYC preference - will accept Remote USA to work EST hours - Will accept LATAM region to work EST hours and also Tel Aviv. compensation: $160K - $200K We are a technology company that provides the first automated, on-chain economic security system for crypto protocols, helping them optimize risk management and capital efficiency while safeguarding user funds. Our platform secures billions of dollars in assets for leading protocols by analysing protocol mechanics and scenario implications using world-class custom EVM simulations. We are seeking a proactive and results-driven Full-Stack Engineer to join our AI team and develop our cutting-edge financial AI agent. As a Full-Stack Engineer reporting directly to the Head of Product & AI, you will play a critical role in working closely with the CEO and the AI team to design and build the full-stack systems that power our financial AI agent. Responsibilities: • Design and build end-to-end full-stack systems for our AI financial agent., • Develop scalable APIs and backend services to support agent workflows., • Build high-performance, user-facing interfaces to visualize agent reasoning and surface insights, and enable real-time interaction., • Collaborate with AI researchers to integrate and productionize agent logic., • Connect and manage data pipelines from financial sources., • Implement testing, monitoring, and performance best practices., • Stay up to date with LLM frameworks, full-stack tools, and financial trends. Essential Qualifications: • Experience: 5+ years of full-stack development experience., • Backend Proficiency: Strong proficiency in Python (FastAPI), JavaScript/TypeScript, and Node.js., • Frontend Proficiency: Strong proficiency in React., • System Knowledge: Proven experience building scalable APIs and web applications., • Data Skills: Solid knowledge of relational and non-relational databases., • AI Experience: Hands-on experience with LLMs and frameworks like LangChain or similar., • Advanced AI Concepts: Familiarity with vector databases, RAG pipelines, and async programming., • Domain Expertise: Experience with financial data and APIs., • Work Style: Comfortable working in fast-paced, self-directed environments., • Location: Ability to work from our Brooklyn Office 5 days a week (mandatory for NYC-based candidates). Preferred Qualifications: • Experience building LLM-based agents in production environments., • Familiarity with prompt engineering, tool use orchestration (MCP), and AI agent design., • Experience with embedding pipelines, semantic search, and RAG architectures., • Proficiency with profiling tools and performance optimization., • Familiarity with smart contracts, blockchain protocols, and DeFi systems is a strong plus., • Compensation: Competitive PTO (21 days) plus 7 sick days and 8 observed US-company holidays., • Healthcare: 100% employer-paid health benefit options (Medical, dental & vision insurance) for you and your dependents., • Financial Wellness: FSA or HSA (pending on selected health insurance) and Pre-tax Commuter Benefits., • Support: Thoughtful Parental Leave Policy and corporate wellness programs (OneMedical, Teladoc, Talkspace, EAP)., • Growth: Career growth opportunities at a rapidly expanding, global technology company in an emerging field with personalized professional development. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Description: Chaos Labs is the first automated, on-chain economic security system enabling crypto protocols to optimize risk management and capital efficiency while safeguarding user funds. We analyze protocol mechanics and scenario implications using world-class custom EVM simulations to provide actionable insights. Our platform is trusted by leading protocols, including Aave, GMX, dYdX, Venus, Jupiter and others, to manage and secure billions of dollars in assets. We are seeking a proactive and results-driven Full Stack Engineer to join our AI team. Reporting directly to the Head of Product & AI you will play a critical role in working closely with our CEO and AI team to develop our AI product. Responsibilities: • Design and build fullstack systems for our AI crypto agent., • Develop scalable APIs and backend services to support agent workflows., • Build high-performance, user-facing interfaces to visualize agent reasoning and surface insights, as well as enable real-time interaction., • Collaborate with AI researchers to integrate and productionize agent logic., • Connect and manage data pipelines from crypto sources., • Implement testing, monitoring, and performance best practices., • Stay up to date with LLM frameworks, crypto trends, and fullstack tools. Requirements: • 5+ years of fullstack development experience., • Strong proficiency in Python (FastAPI), JavaScript/TypeScript, Node.js, and React., • Proven experience building scalable APIs and web applications., • Solid knowledge of relational and non-relational databases., • Hands-on experience with LLMs and frameworks like LangChain or similar., • Familiarity with vector databases, RAG pipelines, and async programming., • Experience with crypto data and APIs., • Comfortable working in fast-paced, self-directed environments. Preferred Qualifications: • Based in NYC with the ability to work from our Brooklyn office 5 days per week., • Experience building LLM-based agents in production environments., • Familiarity with prompt engineering, tool use orchestration (MCP), and AI agent design., • Experience with smart contracts, blockchain protocols, and/or DeFi systems., • Experience with embedding pipelines, semantic search, and RAG architectures., • Proficiency with profiling tools and performance optimization., • Competitive PTO (21 days) + sick days (7) + 8 observed US-company holidays, • 100% employer-paid health benefit options (Medical, dental & vision insurance) for you and your dependents, • FSA or HSA (pending on selected health insurance), • Thoughtful Parental Leave Policy, • Corporate wellness programs with OneMedical, Teladoc, Talkspace, EAP, • Career growth opportunities at a rapidly expanding, global technology company in an emerging field with personalized professional development, • Pre-tax Commuter Benefits, • Salary and seniority level commensurate with experience $144,000 - $164,000 USD

We're building the first visual, transparent, and interactive deep-research platform. Our platform is industry-agnostic, but we're starting with finance. Financial services manages $26.5 trillion in assets, yet professionals spend 60-70% of their time manually gathering data from scattered sources. Keru.ai automatically ingests dozens of sources (SEC filings, expert calls, alternative data) and deploys AI agents that conduct deep research while creating interactive decision trees. The agents surface insights and connections that would take analysts hours to find. Analysts explore and modify findings in real-time, then export deliverables like presentations and reports, all with full audit trails showing exactly how conclusions were reached. Keru.ai was founded by two Palantir veterans with 20 years of combined experience building core parts of Palantir's Gotham and Foundry Platform. Our founders created Palantir Quiver, the analytics engine behind $100M+ enterprise deals with BP and Airbus, architected core compute and data systems, led major Department of Defense projects, and served as Head of Business Engineering at Citadel. We're backed by founders of OpenAI, Facebook AI, MotherDuck, DBT, and Outerbounds. As a Software Engineer at Keru, you'll architect and build the intelligent backend infrastructure that powers our autonomous AI research agents. You'll design the core orchestration systems that coordinate multiple specialized AI agents, manage complex multi-step research workflows, and ensure reliable execution of mission-critical financial analysis tasks. Within your first 90 days, you will: * Design and ship your first multi-agent workflow system into production with senior mentorship * Build and deploy an agent orchestration service that handles real financial research tasks * See your code power autonomous research workflows at top financial institutions * Take ownership of a core agent system from architecture to production deployment This role is ideal for engineers who want to build foundational agentic infrastructure at the intersection of AI and finance, where robust system architecture enables autonomous agents to augment human decision-making at enterprise scale. * Agent Orchestration & Workflow Engineering: Design and implement sophisticated agent coordination systems that manage complex, multi-step research workflows. Build state machines, task queues, and execution engines that coordinate specialized AI agents across diverse data sources and analysis tasks. * Multi-Agent System Architecture: Architect scalable systems for agent communication, task delegation, and result synthesis. Implement patterns for agent specialization, load balancing, and dynamic resource allocation across research workflows. * Autonomous Task Execution: Build robust execution frameworks that handle long-running, multi-phase research tasks with automatic retry logic, error recovery, and graceful degradation. Ensure agents can autonomously navigate complex decision trees while maintaining human oversight capabilities. * AI Model Integration & Management: Integrate and orchestrate multiple language models (GPT, Claude, specialized financial models) with intelligent routing, fallback mechanisms, and cost optimization. Build abstraction layers that allow seamless model swapping and A/B testing. * Real-Time Data Pipeline Architecture: Design high-throughput data ingestion systems that process streaming financial data, SEC filings, news feeds, and alternative datasets. Build event-driven architectures that trigger agent workflows based on real-time market events. * Agent Memory & Context Management: Implement sophisticated memory systems that allow agents to maintain context across long research sessions, learn from past interactions, and build upon previous analysis. Design vector databases and knowledge graphs that support intelligent information retrieval. * Enterprise Integration & Reliability: Build systems that meet the security and compliance standards of top financial institutions, with comprehensive monitoring, audit logging, and enterprise-grade authentication. Must-haves * 2+ years of backend systems experience with a proven track record of building production-scale distributed systems * Strong CS fundamentals: distributed systems, algorithms, system design, and debugging complex multi-service architectures * Experience with agent frameworks or multi-agent system design patterns * Expert-level proficiency in Python, Node.js, or Rust with experience in microservices and event-driven architectures * Hands-on experience with vector databases (Pinecone, Weaviate, Chroma) and semantic search systems * Track record of shipping: production systems that handle mission-critical workloads and real user traffic * Clear technical communication: ability to architect complex systems and collaborate with both technical and business stakeholders Nice-to-haves * Experience building AI/ML production systems, workflow orchestration, or autonomous agent platforms * Background with financial data, APIs, or enterprise integration (Bloomberg Terminal, trading systems) * Knowledge of advanced backend technologies: message brokers (Kafka), container orchestration (Kubernetes), infrastructure as code * Technical leadership experience: mentoring engineers, making architectural decisions, driving technical strategy * Startup experience or side projects where you built systems from scratch Don't check every box? Apply anyway. We prioritize problem-solving ability, systems thinking, and drive to build transformative agentic infrastructure. You'll be directly mentored by engineers who built Palantir's core systems. Expect: * Weekly 1:1s with senior engineers who've architected enterprise-scale distributed systems * Deep architectural reviews and guidance on agent system design * Clear growth path toward technical leadership and system ownership * Learn by building—production agentic systems that power real financial research At Keru, mentorship accelerates strong systems engineers into exceptional technical leaders. * Backend: Python, Node.js, Rust, PostgreSQL, Redis * AI/ML: OpenAI/Anthropic/OpenRouter Vector Databases * Infrastructure: AWS, Docker, Temporal, Kubernetes, Kafka, Apache Airflow * Monitoring: Datadog, * Tools: Git, GitHub Actions, Pulumi * Comprehensive medical, dental, vision, 401k, insurance for employees and dependents * Automatic coverage for basic life, AD&D, and disability insurance * Daily lunch in office * Development environment budget - latest MacBook Pro, multiple monitors, ergonomic setup, and any development tools you need * Unlimited PTO policy * "Build anything" budget - dedicated funding for whatever tools, libraries, datasets, or infrastructure you need to solve technical challenges, no questions asked * Learning budget - attend any conference, course, or program that makes you better at what we're building * Forward-Deployed with Product DNA: We own customer outcomes, while building a product company. We don't win if our customers don't win. That means embedding, iterating, and deploying where our customers are. * Extreme Ownership: We have a big vision and everyone owns it. If you notice a problem, you own it - diagnose, coordinate, and close the loop. Authority comes from initiative, not job titles, and once you step up, you're accountable for the outcome. * Production-First Engineering: We design for customers' most critical workloads from day one. The platform runs on durable execution paths, blue/green deploys, automated rollbacks, and a continuous-delivery pipeline with end-to-end observability, so every change lands safely and stays resilient under real-world load. * Trust as the Default: We operate on the simple premise that people do their best work when confidence is mutual and earned in the open. That means we show our work, keep our promises, and flag risks before they bite. Automated tests, uptime dashboards, and clear communication back our competence; predictable delivery proves our consistency; candid retros and honest trade-offs reveal our character. Put together, trust isn't an aspiration, it's the baseline everyone can count on. * Keep Raising the Bar: We block time for training, code-health sprints, and deep-dive tech talks, because a sharper team and a cleaner stack pay compounding dividends. Continuous learning isn't a perk, it's part of the job. Keru.ai is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Backend Software Engineers at Palantir build software at scale to transform how organizations use data. Our Software Engineers are involved throughout the product lifecycle, from idea generation, design, prototyping, and production delivery. You will collaborate closely with technical and non-technical teammates to understand our customers' problems and build products that solve them. We encourage movement across teams to share context, skills, and experience, so you'll learn about many different technologies and aspects of each product. Engineers work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop, becoming a strong technical contributor and engineering leader. Your day-to-day workflow will vary, adapting to the requirements of our users and the technical challenges that arise. One day, you may find yourself collaborating with other engineers to architect a new system that enables a novel workflow, the next you could be fine-tuning performance to enable low-latency operational outcomes. Our Product Development organization is made up of small teams of Software Engineers. Each team focuses on a specific aspect of a product and work collaboratively to build cross functional capabilities, streamline user workflows and continuously improve our software's efficiency and reliability. We're hiring engineers who are passionate about solving real-world problems and empowering developers and end-users to do their work optimally. If you’re motivated to develop reliable, performant, scalable systems and design robust APIs and primitives, below are some examples of the types of product work you’d get to do in this role: \n Core Responsiblities • Architecting, developing, and maintaining high-performance, scalable backend services that underpin our our operational data and AI systems, • Maintaining high coding standards through the development of guidelines, active participation in code reviews, and fostering a culture of continuous improvement and knowledge sharing among your team, • Building robust APIs for use by front-end developers and interfacing external systems, and collaborating with front-end developers to integrate user-facing elements with server-side logic, • Designing efficient data structures and algorithms to manage large-scale and high throughput data, • Optimizing applications for speed and scalability through performance analysis, • Actively improve user workflows by collaborating with cross-functional teams, ensuring seamless experiences across product boundaries and a cohesive user experience Technologies We Use • Different backend languages, including Java, Rust, Python and Go, • Distributed systems technologies such as Kafka, Cassandra, Elasticsearch and Spark, • Docker and Kubernetes for containerization and orchestration, • Industry-standard build tooling, including Gradle and GitHub What We Value • A deep understanding of server-side logic, efficient data handling, and distributed systems, • Strong focus on creating user-oriented workflows and solutions, crossing product boundaries to deliver cohesive and solid user workflows that ensure a seamless and intuitive user experience, • Experience building high-quality software in a fast-paced CI/CD development environment, • Ability to work collaboratively in teams of technical and non-technical individuals and understand how technical decisions impact the people who will use what you're building, • Skill and comfort working in a constantly evolving environment with dynamic objectives and iteration with users, • Active US Security clearance, or eligibility and willingness to obtain a US Security clearance is beneficial but not necessary What We Require • Experience in designing and developing features and improvements, as well as supporting and maintaining, live backend systems, • In-depth understanding of data structures, system architecture, API development for microservices frameworks, distributed systems and other backend-related concepts and best practices, • Engineering background in Computer Science, Mathematics, Software Engineering, Physics or similar field, • Strong coding skills with demonstrated proficiency in programming languages, such as Java, C++, Python, Rust, or similar languages, • Strong written and verbal communication skills and ability to iterate quickly with teammates, incorporating feedback and holding a high bar for quality \n Salary The estimated salary range for this position is estimated to be $135,000 - $200,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual’s relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. Our benefits aim to promote health and wellbeing across all areas of Palantirians’ lives. We work to continuously improve our offerings and listen to our community as we design and update them. The list below details our available benefits and some of the perks that can be enjoyed as an employee of Palantir Technologies. Benefits • Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance, • Employees are automatically covered by Palantir’s basic life, AD&D and disability insurance, • Commuter benefits, • Relocation assistance, • Take what you need paid time off, not accrual based, • 2 weeks paid time off built into the end of each year (subject to team and business needs), • 10 paid holidays throughout the calendar year, • Supportive leave of absence program including time off for military service and medical events, • Paid leave for new parents and subsidized back-up care for all parents, • Fertility and family building benefits including but not limited to adoption, surrogacy, and preservation, • Stipend to help with expenses that come with a new child, • Employees can enroll in Palantir’s 401k plan Life at Palantir We want every Palantirian to achieve their best outcomes, that’s why we celebrate individuals’ strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians’ lives is just one of the ways we’re investing in our community. Learn more at ___ and note that our offerings may vary by region. In keeping consistent with Palantir’s values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are proud to be an Equal Opportunity Employer for all, including but not limited to Veterans and those with disabilities. Palantir is committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please ___ and let us know how we can help.

Transforming the lives of those affected by severe mental illness At Amae Health, we are dedicated to helping the 15.4 million Americans living with severe mental illness (SMI) lead stable, meaningful lives, while ending the cycle of repeat hospitalizations. In partnership with some of the nation’s top academic medical centers we’ve pioneered an innovative outpatient care model that combines compassionate, in-person psychiatric care with comprehensive wraparound support. Our integrated care teams — including psychiatrists, therapists, primary care physicians, health coaches, and peer support specialists — work together to treat the whole person via a unique model, addressing physical, mental, and social needs in unison. By caring for every aspect of our patients’ well-being, we help them not just survive, but truly thrive. Amae Health is a Series B venture-backed Public Benefit Corporation dedicated to becoming the nation's center of excellence for individuals living with severe mental illness (SMI). Backed by top-tier venture capital firms and strategic healthcare investors, we collaborate with prestigious health systems including NewYork-Presbyterian, Stanford Healthcare, and Cedars-Sinai, underscoring our commitment to fundamentally transforming mental health care delivery at scale. The Team: At Amae we are a collective of healthcare leaders and technologists on a mission to create a radically different patient-first behavioral health care model that truly transforms patient’s lives by integrating care delivery, patient experience, cutting edge technology and research. Join a team of operators, builders and technologists from One Medical, Forward Health, Stanford, UCLA, Hinge Health, Palantir, The Four Seasons, and Brightline as we redefine care for the most vulnerable populations - across the nation, at scale. The Opportunity: As we expand our ability to care for complex patient populations, the core teams that support this work are also growing! We are seeking an Associate Software Engineer to help build and scale Amae Health’s patient and clinic facing technology platform. Central to shaping how patients and families access our precision psychiatry services, this role is fundamental to ensuring our solutions are both technically robust and adaptable to the evolving needs of care. As part of the technology team at Amae , you’ll help define how software development 3.0 can be harnessed responsibly in healthcare to expand access to life-changing care. About You: You’re a full-stack engineer who thrives at the intersection of traditional engineering best practices and the emerging AI-native development paradigm. You’re fluent in writing and reviewing production-grade code, but you also bring discernment and pragmatism in how to integrate AI-generated code into a secure, reliable product. You’re equally comfortable architecting backend systems as you are collaborating on frontend experiences. You take pride in mentoring peers, raising engineering standards, and ensuring code quality across the stack. You’re energized by the fast pace of early-stage work and motivated to build systems that directly improve mental health outcomes for patients and families. What you’ll work on: Full-Stack Development • Lead design, implementation, and review of features across the stack, with emphasis on scalable, secure, and maintainable architecture., • Build backend services, APIs, and frontend interfaces that power the patient experience., • Contribute to both backend and frontend, with flexibility to lean where your strengths are deepest. AI-Native Engineering (Software 3.0) • Leverage LLMs and AI-native tooling to accelerate development while maintaining rigorous standards., • Apply strong code review practices to both human- and AI-generated contributions, ensuring correctness, security, and long-term maintainability., • Help define best practices for AI-augmented workflows in production-grade healthcare software. Collaboration • Partner with product, design, and clinical teams to translate mental healthcare needs into intuitive software., • Participate in architectural discussions and guide the evolution of our platform. What you’ll have: • 1+ years of professional software engineering experience, with proven full-stack contributions, • Strong fundamentals in modern backend (Node.js, Python, or similar) and frontend frameworks, with Next.js experience preferred, • Deep familiarity with cloud-native environments (AWS & Vercel), • Pragmatic approach to code review: able to spot issues in both human- and AI-generated code, and guide teams toward best practices, • Excitement about “software development 3.0”—working AI-native, but with the maturity to know when traditional approaches are required, • Collaborative, mission-driven mindset, motivated to improve mental health outcomes at scale, • This is a full-time in person role based in our San Francisco or Manhattan offices What we provide: • Health Insurance: Comprehensive medical, dental & vision plans, • Competitive compensation, • Employee Assistance Program, • 401(k), • FSA & HSA savings programs, • Short & long-term disability, • Pre-tax commuter assistance program, • Unlimited paid time off (PTO), • Parental Leave - 12 weeks for birth and non birth parent, • 11 company holidays Amae Health is committed to fair and equitable compensation practices. Base salary range for this role is $115,000 to $155,000 per year based on a full-time schedule and the compensation package will include equity. Actual compensation packages are based on several factors that are unique to each candidate's experience and professional leveling and it is not typical for an individual to be hired at or near the top of the range. These factors include, but are not limited to, job related knowledge and skill set, depth of experience, certifications, degrees, licensures, and specific work location. More About Amae: 'Amae', pronounced ‘Ah-mai’, is a Japanese concept meaning the need to be in good favor with, and the ability to depend on, the people around oneself. It reflects our core belief that a strong support system is essential to build people up, strengthen their will to carry on and even to thrive in life. This mentality applies across our whole company – from the patients we serve to the team we’re building. We’re a Public Benefit Corporation (PBC) that provides outpatient psychiatric and primary care health services through value-based care arrangements. Our model’s success is predicated upon achieving outcomes for our patients, not on the volume of services provided. Amae Health is an equal opportunity employer and encourages all applicants from every background and life experience to apply.

The user interface for universal knowledge capture. We want every atom of information that our users need to be at their fingertips. Designed to be generally capable– it can tackle even the most complex tasks, citing answers over any amount of sources. By showing its work, Hebbia empowers users to collaborate with AI on each step and validate responses instead of blindly trusting them. Our mission is to put capable AI in the hands of 1 billion people by 2030. The Agent Collaboration platform team at Hebbia builds the interactive scratch-pad, analysis, and content creation tools for Agents. Our flagship product, Matrix, is a generative spreadsheet that leverages our ___ to coordinate complex agentic workflows across thousands of documents. We pair a simple, elegant interface—where users can kick off complex multistep document workflows—with a real-time, high-throughput ___ capable of processing the equivalent of 100 Harry Potter novels per second. Together, we turn massive, unstructured document repositories into seamless, actionable intelligence. Our team works in person 5 days a week at our SoHo office in NYC. A backend engineer at Hebbia blends expertise in systems, application layer software, and data modeling to build highly efficient software solutions. You will be responsible for leveraging the latest software and agentic solutions and integrating product experience with powerful distributed systems. You’ll help protect Hebbia’s technical edge via elegant software design, efficient data communication, and sophisticated integrations. We value engineers who move fast, hold themselves accountable to quality, and are detail-oriented. • Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs., • Unlock O(1) universal indexing: Build and iterate on our high-scale document build system that enables constant time latency for indexing any content in the world, regardless of data volume., • Drive performance optimization: Architect and implement performance-tuning solutions to ensure our systems operate efficiently at scale, minimizing latency and maximizing throughput across millions of documents., • Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth., • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A strong academic background with coursework in data structures, algorithms, and software development is preferred., • 5+ years software development experience at a venture-backed startup or top technology firm, with a focus on backend software engineering., • Proficiency in building backend and API systems using technologies such as Python, Java, or Go., • Extensive experience with cloud platforms (e.g., AWS), • Working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis, • Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders., • Proven experience in leading software development projects and collaborating with cross-functional teams. Strong interpersonal and communication skills to foster a collaborative and inclusive work environment., • Enthusiasm for continuous learning and professional growth. A passion for exploring new technologies, frameworks, and software development methodologies., • Embraces rapid prototyping with an emphasis on user feedback, • Autonomous and excited about taking ownership over major initiatives, • Bonuses:, • Experience building agentic systems or LLM enabled products., • Frequent user of AI products, especially during the development lifecycle (i.e. Cursor, Claude Code, etc). The salary range for this role is $160,000 to $300,000, covering levels from junior to principal. Final leveling is determined through our assessment process, and exceptions to this range may be made for candidates with qualifications that fall outside our standard framework. Life @ Hebbia PTO: Unlimited Insurance: Medical + Dental + Vision + 401K Eats: Catered lunch daily + doordash dinner credit Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent Fertility benefits: $15k lifetime benefit New hire equity grant: competitive equity package with unmatched upside potential #LI-Onsite

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Frontline Software Engineer at Palantir, you would begin your journey on a short-term assignment where you are embedded with customers. This unique experience lets you work directly with users, gaining firsthand insight into how our products are used and the challenges our customers face. Unlike traditional engineering roles, Frontline immerses you in complex, ambiguous problems, empowering you to deliver impactful solutions across some of the world’s most important industries and institutions. Many of our most successful products have been built through direct engagement with customers, solutions born from real-world problems that not only address specific needs but can also be applied in broader contexts. By working closely with users, you’ll help create products with immediate impact and long-term value. Frontliners operate much like a startup CTO, working in small teams to own the end-to-end execution of high-stakes projects. Your responsibilities will range from discussing architecture and coding custom web apps to strategizing with customer executives. Every day will be diverse and impactful. By witnessing how customers engage with Foundry and seeing these pain points firsthand, you’ll gain unique insights that feed directly back into our development process, helping to refine and enhance our products. Upon the completion of your assignment, you would join one of our Software Engineer teams within our Foundry org. Within Foundry, there is a broad spectrum of teams, each focused on tackling unique technical challenges and delivering impact across a range of domains. You might work on designing and building scalable systems that power data-driven workflows for organizations worldwide, collaborating closely with teammates to deliver robust APIs and high-performance infrastructure. On other teams, you could be developing the foundational building blocks that ensure our platform is secure, reliable, and performant, addressing challenges in distributed systems, data storage, and application security. You may also have the opportunity to architect and deliver end-to-end user experiences, crafting intuitive interfaces and workflows that empower thousands of users to solve complex, real-world problems. It doesn’t matter what languages you know when you join us; what matters is your ability to decompose complex problems into manageable, actionable components, write clean, effective code, and quickly learn new languages, technologies, frameworks, and paradigms. Our software is constantly evolving, so we need adaptable engineers who can evolve alongside it. Whether it's adapting to new technical environments or understanding and integrating into the customer's setup and needs, your adaptability is key. Alongside peers with diverse experiences such as startup founders, industry veterans, university TAs, and more, you'll enhance your skillset to apply the best technology to solve any given problem. • A variety of languages, including Java, Python, Rust and Go for backend and Typescript for frontend, • Open-source technologies like Cassandra, Spark, Iceberg, ElasticSearch, Kubernetes, React, and Redux, • Industry-standard build tooling, including Gradle for Java, Cargo for Rust, Hatch for Python, Webpack & PNPM for Typescript, • Strong engineering background in fields such as Computer Science, Mathematics, Software Engineering, or Physics, • Familiarity with storage systems, cloud infrastructure, front-end frameworks, and other technical tools, • Solid understanding of data structures and algorithms, with the ability to effectively solve problems, • Proficient coder with demonstrated expertise in programming languages such as Java, C++, Python, Rust, JavaScript, or similar languages, • Proven ability to collaborate and empathize with a diverse range of individuals. Capable of iterating with users and non-technical stakeholders, understanding the impact of technical decisions on them, • Demonstrated ability to learn and work independently, making effective decisions that drive results, • Passion for developing software that can change the world and for creating intuitive, scalable products that enhance users' ability to work with data

21Shares makes investing in digital assets as easy as buying shares using your conventional broker or bank. Investors can purchase our crypto ETPs easily, safely and securely in a regulated framework on the SIX Swiss Exchange in USD, Euros and GBP, on BX Swiss in CHF, on Boerse Stuttgart in Euros, on DB Xetra as well as Wiener Boerse ( Vienna Exchange) in Euros. We offer the most expansive suite of crypto ETPs available on regulated European exchanges. Founded in 2018, 21Shares is led by a team of talented entrepreneurs and experienced professionals from the asset management and banking industry. Headquartered in Zurich, the company has launched several exchange-traded products such as NEAR and ONDO in the last twelve months. Job Title: Senior Software Engineer Worksite Location: 158 W 27th Street, 4th Floor, New York, NY, 10001 Description • Build customized integrations and new features for the Onyx platform using JavaScript, TypeScript, NestJS, React, Material UI, and MikroORM., • Develop, maintain, and enhance integrations with various blockchains within the Onyx platform and with a token rebalancing platform using Coinbase and Copper custodian APIs, Tenderly, The Graph, QuickNode, and Ethers and Web3 JavaScript libraries in EVM blockchains including Ethereum and Polygon., • Enhance existing trading features, including price fetching from multiple providers, rebalancing calculations, and projected rebalancing traders for index products and building data ETL pipelines using Go, sftp, ssh, and websockets., • Implement algorithms for new products, ensuring they meet the complexity and functionality requirements of the Onyx platform and build CI/CD pipeline using Docker, Kubernetes, AWS EKS, and Helm charts., • Incorporate training initiatives to continually enhance team skills and proficiency inutilizing the Onyx platform and associated technologies., • Facilitate training sessions for Clients and Stakeholders based in the U.S. and provide comprehensive insights into the intricacies of the Onyx platform., • Collaborate closely with the Product Managers to align development efforts with business goals and ensure the successful implementation of new features and enhancements. May telecommute. Minimum Requirements: Bachelor’s (or foreign educ. equiv.) Degree in Computer Engineering, Computer Science, or a closely related field plus three (3) years’ experience in the job offered or related occupation. Special Skill Requirements: • Building customized integrations using JavaScript, TypeScript, NestJS, React, Material UI, and MikroORM., • Building crypto rebalancing and accounting features of exchange-traded funds (ETFs) and managing key integrations with providers, including CryptoCompare, Bitwise, Coinbase, Market Vector Indexes, Lukka, Sudrania, S&P, and Vinter., • Building CI/CD Pipeline using Docker, Kubernetes, AWS EKS, and Helm charts., • Building data ETL pipelines using sftp, websockets, and ssh., • Use of Python, AWS EC2, and PostgreSQL., • Developing, maintaining, and enhancing integrations using Coinbase and Copper custodian APIs, Tenderly, The Graph, QuickNode, and Ethers and Web3 JavaScript libraries in EVM blockchains including Ethereum and Polygon. Base Salary: $132,000.00 to $195,000.00 per annum. 40 hours per week; M-F. To apply, send resume to .

We're building the first visual, transparent, and interactive deep-research platform. Our platform is industry-agnostic, but we're starting with finance. Financial services manages $26.5 trillion in assets, yet professionals spend 60-70% of their time manually gathering data from scattered sources. Keru.ai automatically ingests dozens of sources (SEC filings, expert calls, alternative data) and deploys AI agents that conduct deep research while creating interactive decision trees. The agents surface insights and connections that would take analysts hours to find. Analysts explore and modify findings in real-time, then export deliverables like presentations and reports, all with full audit trails showing exactly how conclusions were reached. Keru.ai was founded by two Palantir veterans with 20 years of combined experience building core parts of Palantir's Gotham and Foundry Platform. Our founders created Palantir Quiver, the analytics engine behind $100M+ enterprise deals with BP and Airbus, architected core compute and data systems, led major Department of Defense projects, and served as Head of Business Engineering at Citadel. We're backed by founders of OpenAI, Facebook AI, MotherDuck, DBT, and Outerbounds. As a Full Stack Software Engineer at Keru, you'll architect and build the core platform that powers our AI-native research experience. You'll own the complete user journey—from intuitive React interfaces that financial professionals love to robust backend systems that process billions of data points in real-time. You'll live our core principle of 'Forward-Deployed with Product DNA' - building platform features that directly solve real customer problems while maintaining the scalability and reliability needed to serve the entire market. Your code will power research workflows that drive million-dollar investment decisions across our lighthouse financial clients. This role is ideal for engineers who want to build foundational technology at the intersection of AI and finance, where strong code architecture powers an exceptional user experience and directly impact our clients' ability to make critical business decisions. * Frontend Excellence & User Experience: Build sophisticated React applications with TypeScript that financial professionals rely on for critical research. Create intuitive interfaces for complex data visualization, AI-powered insights, and seamless integration workflows using modern design systems and Tailwind CSS. * Backend Systems & API Development: Design and implement scalable code that orchestrates AI workflows, manage complex data pipelines, and integrate with enterprise financial tools. * Full-Stack Feature Development: Own complete features from concept to production - designing React components, implementing backend services, optimizing database queries, and ensuring seamless end-to-end functionality. * Platform Architecture & Scalability: Build systems that scale from prototype to enterprise, implementing caching strategies, optimizing database performance, and architecting microservices that handle high-volume financial data processing. * AI Integration & Workflow Engineering: Integrate cutting-edge language models and AI capabilities into production applications, building intelligent research workflows that augment human decision-making with AI insights. * Enterprise Integration Development: Build robust integrations with financial platforms (Bloomberg Terminal, CapIQ, internal trading systems) using modern web technologies and enterprise authentication protocols. * Performance Engineering: Optimize application performance across the full stack - from React component rendering and bundle optimization to database query performance and API response times. * Product Development Collaboration: Work closely with product and design teams to translate user requirements into technical architecture, participating in user research sessions and iterating based on real client feedback. * Production Excellence: Implement comprehensive testing strategies, monitoring, and deployment pipelines. Own the reliability of features you build from development through production operations. * A future technical startup founder * 4+ years of full-stack development experience with a proven track record of shipping production applications at scale * Modern Frontend Expertise: Advanced proficiency in React, TypeScript, and modern CSS frameworks (Tailwind CSS preferred). Experience with state management (Redux/Zustand), testing frameworks (Jest/Vitest), and build tools (Vite/Webpack). * Backend Development Skills: Strong experience with Node.js, Python, or similar backend technologies. Proficiency in API design, database modeling (PostgreSQL/MongoDB), and cloud platforms (AWS/GCP). * Full-Stack Architecture: Experience designing and implementing complete application architectures, from database schema to React component hierarchies. Understanding of performance optimization across the entire stack. * Enterprise Application Experience: Background building applications for enterprise customers, including experience with authentication systems, role-based access control, and enterprise security requirements. * Data-Driven Development: Experience working with large datasets, building data visualization interfaces, and integrating with analytics platforms or data processing pipelines. * Financial Services Exposure: Previous experience building applications for financial firms, understanding of financial workflows, or familiarity with financial data platforms (preferred but not required). * Modern Development Practices: Experience with Git workflows, CI/CD pipelines, automated testing, and agile development methodologies. * Technical Communication: Excellent communication skills with ability to collaborate effectively with product, design, and engineering teams. Comfortable discussing technical trade-offs and architecture decisions. * Product Mindset: User-focused approach to development with experience gathering requirements, iterating based on feedback, and building features that solve real customer problems. * Startup Experience: Thrives in fast-paced environments where you'll work across the full technology stack and directly impact product direction and company growth. You'll be directly mentored by engineers who built Palantir's core systems. Expect: * Weekly 1:1s with senior engineers who've architected enterprise-scale distributed systems * Deep architectural reviews and guidance on agent system design * Clear growth path toward technical leadership and system ownership * Learn by building—production agentic systems that power real financial research At Keru, mentorship accelerates strong systems engineers into exceptional technical leaders. * Backend: Python, Node.js, Rust, PostgreSQL, Redis * AI/ML: OpenAI/Anthropic/OpenRouter Vector Databases * Infrastructure: AWS, Docker, Temporal, Kubernetes, Kafka, Apache Airflow * Monitoring: Datadog, * Tools: Git, GitHub Actions, Pulumi * Comprehensive medical, dental, vision, 401k, insurance for employees and dependents * Automatic coverage for basic life, AD&D, and disability insurance * Daily lunch in office * Development environment budget - latest MacBook Pro, multiple monitors, ergonomic setup, and any development tools you need * Unlimited PTO policy * "Build anything" budget - dedicated funding for whatever tools, libraries, datasets, or infrastructure you need to solve technical challenges, no questions asked * Learning budget - attend any conference, course, or program that makes you better at what we're building * Forward-Deployed with Product DNA: We own customer outcomes, while building a product company. We don't win if our customers don't win. That means embedding, iterating, and deploying where our customers are. * Extreme Ownership: We have a big vision and everyone owns it. If you notice a problem, you own it - diagnose, coordinate, and close the loop. Authority comes from initiative, not job titles, and once you step up, you're accountable for the outcome. * Production-First Engineering: We design for customers' most critical workloads from day one. The platform runs on durable execution paths, blue/green deploys, automated rollbacks, and a continuous-delivery pipeline with end-to-end observability, so every change lands safely and stays resilient under real-world load. * Trust as the Default: We operate on the simple premise that people do their best work when confidence is mutual and earned in the open. That means we show our work, keep our promises, and flag risks before they bite. Automated tests, uptime dashboards, and clear communication back our competence; predictable delivery proves our consistency; candid retros and honest trade-offs reveal our character. Put together, trust isn't an aspiration, it's the baseline everyone can count on. * Keep Raising the Bar: We block time for training, code-health sprints, and deep-dive tech talks, because a sharper team and a cleaner stack pay compounding dividends. Continuous learning isn't a perk, it's part of the job. Keru.ai is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.

PIMCO is a global leader in active fixed income with deep expertise across public and private markets. We invest our clients’ capital across a range of fixed income and credit opportunities, leveraging our decades of experience navigating complex debt markets. Our flexible capital base and deep relationships with issuers have helped us become one of the world’s largest providers of traditional and nontraditional solutions for companies that need financing and investors who seek strong risk-adjusted returns. Since 1971, our people have shaped our organization through a high-performance inclusive culture, in which we celebrate diverse thinking. We invest in our people and strive to imprint our CORE values of Collaboration, Openness, Responsibility and Excellence. We believe each of us is here to help others succeed and this has led to PIMCO being recognized as an innovator, industry thought leader and trusted advisor to our clients. Project Overview Our middle office transformation initiative will completely transform our business workflows by delivering efficiency across processes, providing our investment teams with more accurate and timely access to positions, P&L, and performance. In this role, you will: Responsibilities: Platform Development and Management Build and maintain supporting components, including data infrastructure and reporting tools within the middle office ecosystem. Ensure high performance and scalability through best practices in software architecture and rigorous testing protocols. Provide Level 3 support for middle office applications. Collaboration & Stakeholder Engagement Work closely with Portfolio Managers & Operations to gather requirements and provide technical solutions. Translate various financial asks into tangible, production-quality software. Code Quality & Best Practices Uphold industry best practices in coding, design patterns, and application development. Mentor junior team members and perform code reviews to maintain high-quality standards. Requirements: BS/MS/PhD in Computer Science, Mathematics, or a related technical field. 8+ years of hands-on software development experience in Java and Python Experience in developing cloud-ready, distributed, large-scale, data-intensive applications Strong understanding of data structures, algorithms, OOP, and design patterns Experience with data modelling, relational and NoSQL databases, and RESTful APIs. Experience with Kafka and other real-time messaging systems Experience with distributed caching technologies such as Memcached, Ignite, etc. Proven experience in database development and SQL Deep financial knowledge of transactions, positions, P&L, or performance management. Experience working in a fast-paced, dynamic environment Familiarity with cloud platforms (e.g., AWS) and data warehousing solutions (e.g., Snowflake) is a plus PIMCO follows a total compensation approach when rewarding employees which includes a base salary and a discretionary bonus. Base salary is the fixed component of compensation that is determined by core job responsibilities, relevant experience, internal level, and market factors. The discretionary bonus is used to award performance and therefore is determined by company, business, team, and individual performance. Salary Range: $ 175,000.00 - $ 240,000.00 Equal Employment Opportunity and Affirmative Action Statement PIMCO recruits and hires qualified candidates without regard to race, national origin, ancestry, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender (including gender identity and expression), age, military or veteran status, disability (physical or mental), any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other basis such as medical condition, or marital status under applicable laws. Applicants with Disabilities PIMCO is an Equal Employment Opportunity/Affirmative Action employer. We provide reasonable accommodation for qualified individuals with disabilities, including veterans, in job application procedures. If you have any difficulty using our online system due to a disability and you would like to request an accommodation, you may contact us at 949-720-7744 and leave a message. This is a dedicated line designed exclusively to assist job seekers with disabilities to apply online. Only messages left for this purpose will be considered. A response to your request may take up to two business days. We believe that active management is the responsible way to invest our clients' assets in fixed income. For 50 years, we have worked relentlessly to help millions of investors pursue their objectives - regardless of shifting market conditions. Our clients rely on an investment process that has been tested in virtually every market environment. Bringing together our investment professionals from across the globe, PIMCO's investment process is designed to promote fresh ideas and differing points of view. We innovate to give our clients an edge. Innovation has long been part of the fabric of PIMCO’s culture. Explore how we assess shifting risks and opportunities to build forward-looking solutions for investors.

Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they’re met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we’re expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that’s redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we’d love to meet you. As an early member of Charlie Health’s Engineering Team, you will play a big part in building our applications from the ground up. We’re looking for someone who enjoys partnering closely with the rest of the product development team to make durable contributions and technical decisions as we race toward product launches. You’ll thrive here if you find greenfield work energizing, have a high quality bar, and prefer to iterate to success. Our team is composed of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. We are looking for a candidate who is inspired by our mission and excited by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way. Responsibilities • Develop and deliver high quality, performant, maintainable features that drive meaningful business value using our core technology stack: React, Python, and PostgreSQL, • Set strong patterns for our growing team to follow, • Lead, mentor, and inspire a cross-functional team of software engineers, driving the design, development, and delivery of high-quality software solutions while fostering a culture of collaboration, innovation, and continuous improvement., • Leverage AI and Machine Learning to enhance client and clinician-facing tools, transforming them into an industry-leading platform that empowers clients to take ownership of their mental health journey while driving measurable clinical outcomes., • Be an owner. Collaborate with Product, Design, other stakeholders, and across Engineering to align and iterate to top notch product solutions, • Work on mission-critical features to engage potential clients and connect them with life-saving mental health care., • Own and evolve engineering processes at the team level to align with org-wide practices. We’re early and the expectation of folks joining at this stage is that you’ll play a huge part in setting and improving how we work., • Ensure our clients can always access the care they need by participating in our on-call rotation. Requirements • At least 7 years of professional experience developing user facing web or mobile applications that deliver meaningful business value, • Expertise and hands on production experience with an application programming language, preferably Python, • Excellent at managing ambiguity. Masterful ability to break down big, messy problems (demanding requirements, bugs, etc) into smaller parts with tractable solutions and clear iterations, • Meaningful scope within an application engineering team. Experience making or contributing to important technical tradeoff decisions with cross team implications, • Growth mindset and a sense of humor. You welcome feedback and when you stumble you get back up. You adapt quickly in a fast-paced environment and you enjoy fostering an environment that prioritizes fun, learning, and growth, • Please note: candidates located within 75 minutes commuting distance of our NYC office are expected to come to the office Monday through Thursday and Fridays are remote Charlie Health is pleased to offer comprehensive benefits to all full-time employees. Read more about our benefits ___.#LI-Remote Additional Information The total target base compensation for this role will be between $185,000-$235,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, leveling, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don’t give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Forter is looking for a Staff Software Engineer to lead the technical strategy and architecture of our merchant Onboarding Experience platform. Your mission is to slash integration time from months to weeks (or less), cut internal hand-offs, and unlock faster time-to-revenue. Operating as Forter’s most senior engineer in North America, you’ll bridge Go-to-Market teams with global R&D, hunting for friction, proposing bold initiatives, and driving them end to end. • Spot, scope, and lead high-impact onboarding initiatives: SDKs, schema-aware mapping automation, enhancements to our Integration Center, and self-serve validation pipelines., • Architect and evolve a multi-tenant onboarding platform that copes with Forter’s vertical-specific schemas while remaining simple for merchants’ developers., • Partner cross-functionally with Implementation Engineering, Customer Success, Support, Analytics, and Sales to translate real-world pain points into reusable platform capabilities—never one-off projects., • Mentor and multiply: guide North America-based engineers via design reviews, ADRs, and architecture sessions; represent the Onboarding Experience team in company-wide forums., • Drive the technical vision and long-term roadmap, ensuring the platform directly supports Forter’s strategic goals—accelerating revenue growth, reducing time-to-revenue, and simplifying revenue diversification, • Champion developer experience: clear docs, open-source examples, automated tests, friction-free releases, so our platform becomes a strategic differentiator., • 8+ years building production systems and developer-facing platforms, with 2+ years at Staff-level (or equivalent) owning architecture and cross-functional initiatives., • A track record of shipping SDKs, APIs, or tooling that external engineers rely on and iterating via docs, samples, and community feedback., • Hands-on depth with Node.js/Python and AWS-based architectures., • Business-impact mindset: comfortable measuring success in time-to-integration and revenue acceleration., • Stellar communication and influence skills; you translate between technical, product, and commercial languages with ease., • Self-directed, entrepreneurial approach: you find problems, align stakeholders, and drive to results without formal process. Would be cool if you have: • Experience tackling schema-on-read / data-model variation challenges., • Background in partner, solutions, or developer advocacy engineering: creating code samples, or tooling at scale, • Experience working with eCommerce platforms and understanding merchant data flows, • Exposure to payments infrastructure, especially providers like Stripe, Adyen, Braintree, or Worldpay About us: Digital commerce is built on trust. At every point along the eCommerce journey, businesses must make a critical decision: Can I trust this customer? Answering this simple question accurately and instantly is powerful—it can accelerate revenue growth and strengthen a company’s connection with its customers. How do we do it? Forter was founded on the insight that it's not about what is being purchased, nor where— but who is behind the interaction. The Forter Decision Engine finds patterns across more than one billion identities in our dataset. We isolate fraudsters and protect customers—ensuring everyone gets the experience they deserve. Given that trust is central to how we operate, Forter is very much driven by a defined set of values. We attract remarkable talent and have retention and engagement levels that are well above benchmarks. We’re meticulous about strengthening our culture as we grow and ensuring this is an environment where people can have outsized impact. Trust is backed by data – Forter is a recipient of over 10 workplace and innovation awards, including: • Great Place to Work Certification (2021, 2022, 2023, ___), • Fortune’s Best Workplaces in NYC (2022, 2023 and ___), • Forbes Cloud 100 (2021, 2022, 2023 and ___), • #3 on Fast Company’s list of “Most Innovative Finance Companies” (___), • Anti-Fraud Solution of the Year at the Payments Awards (___), • SAP Pinnacle Awards “New Partner Application Award” (2023), • Fintech Breakthrough Awards – Best Fraud Prevention Platform (2023) We are a team of over 600 Forterians spread across 3 different continents. Since 2013, we've raised $525 million from investors such as Tiger Global, Bessemer, Sequoia Capital, March Capital and Salesforce Ventures. We're on a mission to bring trust to global digital commerce so that companies like Adobe, ASOS, eBay, Instacart, Priceline and Nordstrom can block fraud, drive revenue and improve customer experience. At Forter, we believe unique people create unique ideas, and valuable experience comes in many forms. So, even if your background doesn't match everything we have listed in the job description, we still encourage you to apply and tell us why your skills and values could be an asset to us. By welcoming different perspectives, we grow together as humans and as a company. Forter is an Equal Employment Opportunity employer that will consider all qualified applicants, regardless of race, color, religion, gender, sexual orientation, marital status, gender identity or expression, national origin, genetics, age, disability status, protected veteran status, or any other characteristic protected by applicable law. If you need assistance or an accommodation due to a disability, please email us at ___. This information will be treated as confidential and used only for the purpose of determining an appropriate accommodation for the interview process. Benefits: • Competitive salary, • RSUs, • Matching 401K Plan, • Comprehensive and generous health insurance, including vision and dental coverage, • Home office allowance, • Generous PTO policy, • Half day Fridays Hybrid work: At Forter, we have embraced a hybrid work model that combines the benefits of in-office collaboration with the flexibility of remote work. As part of this exciting approach, Team members are invited to work from the office at least 2 days per week. Within these two days, we encourage employees to join each week, for a department Team Day and for a Hub Day within each office. Your recruiter will share the specifics of these days. Our hope is that a balance of in-person collaboration will aid massively in employee professional growth, development and relationship-building. *Forter does not accept agency resumes. Please do not forward resumes to Forter (or any related) jobs alias or directly to any Forter employees. Forter will not be responsible for any fees related to unsolicited resumes. Salary Range: $214,000 - $290,000 annually + bonus + equity + benefits The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, and skill level. #LI-Hybrid

We’re looking for a detail-oriented professional to join our Legal Technology team. In this role, you’ll help design, test, and implement tools that make litigation workflows more efficient, from document review and case management platforms to AI-driven analytics and data automation. What You’ll Do • Support case teams with technology solutions for document review, data processing, and case management., • Build and maintain automated workflows using low-/no-code tools and scripting., • Partner with internal teams to customize solutions and ensure seamless integration into legal processes., • Troubleshoot and resolve technical issues, manage file transfers, and handle structured/unstructured data., • Provide training, documentation, and guidance to users on best practices., • Contribute to eDiscovery processes, including data collection, processing, review, and production., • Experiment with emerging AI and analytics tools to improve legal technology services. What We’re Looking For • Experience with litigation support or eDiscovery platforms (e.g., Relativity, Nuix, LAW, etc.)., • Solid background in data handling, automation, or database administration., • Familiarity with scripting (Python, Java) and text/data manipulation techniques., • Understanding of analytics tools such as TAR, email threading, or concept analysis., • Strong problem-solving skills and the ability to explain technical ideas in plain language., • Excellent communication, organizational, and project management abilities., • Bachelor’s degree in Computer Science, Data Analytics, Information Systems, or related field., • At least 5 years’ experience working with litigation data or database platforms. The Phoenix Group Advisors is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace and prohibit discrimination and harassment of any kind based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We strive to attract talented individuals from all backgrounds and provide equal employment opportunities to all employees and applicants for employment.

Title: Senior Manager, Operations Planning & Analytics Location: New York, NY (Hybrid) Employment Type: Permanent Requirements • Education: Bachelor’s in Business, Finance, Engineering, Supply Chain, or Analytics;, • 10+ years in operations planning/supply chain analytics., • 3+ years in leadership roles., • Luxury goods or premium retail experience preferred., • Advanced Excel (VBA), statistical software (R/Python), BI tools (Tableau, Power BI)., • Planning systems (SAP IBP, Anaplan, o9, JDA)., • Database (SQL, Snowflake), ERP (SAP/Oracle)., • Familiarity with AI/ML concepts. Key Responsibilities Strategic Planning & Forecasting • Lead demand and inventory planning within S&OP (Sales and Operations Planning)., • Develop rolling forecasts using statistical and AI/ML models (>85% accuracy)., • Scenario planning for supply chain disruptions., • Align plans with revenue and margin goals., • Deliver executive-ready insights and dashboards., • Implement predictive analytics for demand sensing and customer behavior., • Competitive intelligence and pricing effectiveness modeling., • Integrate AI/ML into planning workflows., • Implement planning systems (SAP IBP, Anaplan, o9, JDA)., • Automate reporting and scale data infrastructure (Snowflake, Tableau, Power BI)., • Liaison to executive leadership for planning deliverables., • Facilitate S&OP and integrated business planning sessions., • Lead a team of 2–3 professionals (planners, analysts, data scientists)., • Build capabilities in AI/ML and advanced planning., • Develop contingency plans for disruptions., • Deploy lean/six sigma initiatives to improve cycle time., • Enhance KPIs and performance frameworks. Compensation: $145,000 – $160,000 per year annual salary. Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role may include healthcare insurance offerings and paid leave as provided by applicable law.

Title: Senior Manager, Operations Planning & Analytics Location: New York, NY (Hybrid – 4 days onsite) Salary: $145,000-165,000 base + bonus Industry: Jewelry Contact: This is a full-time position, not eligible for C2C/C2H and not eligible for sponsorship/visa transfer. About the Company Our client is an industry innovator at the intersection of jewelry and technology, delivering advanced e-commerce and supply chain solutions. Their platform connects manufacturers, retailers, and consumers to create a seamless, data-driven diamond buying experience. Role Overview The Senior Manager, Operations Planning & Analytics is a strategic leader who will bridge operations, finance, and merchandising. This role oversees high-level planning deliverables, leads an analytics team, contributes to digital transformation, and drives AI/ML integration into operational planning. Key Responsibilities Planning & Analytics Leadership • Lead Demand & Inventory Fulfillment Planning within the S&OP framework., • Apply advanced statistical methods and AI/ML models to build rolling forecasts (85%+ accuracy)., • Design scenario-planning frameworks with risk assessments and mitigation strategies., • Translate complex data into executive-level insights and recommendations., • Partner with merchandising, finance, operations, manufacturing, and commercial teams to align plans with revenue/margin targets., • Guide weekly S&OP meetings and monthly integrated business reviews., • Synthesize inputs into cohesive strategic presentations for senior leadership., • Direct the selection and implementation of planning systems (e.g., SAP IBP, Anaplan)., • Collaborate with IT/Engineering to automate reporting and enhance infrastructure., • Lead the transition from Excel-based methods to cloud-based planning solutions., • Advance AI/ML integration and monitor model performance., • Implement inventory optimization strategies to balance service levels and capital efficiency., • Plan seasonal collections and market-specific product releases for luxury segments., • Conduct competitive intelligence and market trend analysis., • Develop contingency plans, early-warning systems, and crisis-response protocols., • Manage and mentor a team of 2–3 planners, analysts, and data scientists., • Set OKRs, oversee high-impact projects, and cultivate a culture of continuous development., • Build organizational capabilities in advanced analytics and AI/ML applications., • Bachelor’s in business, Finance, Engineering, Supply Chain, Operations Research, or related field., • 10+ years in operations planning, supply chain analytics, or demand planning., • 3+ years managing direct reports., • Experience in luxury goods, premium consumer brands, or upscale retail (preferred)., • Strong S&OP leadership and cross-functional project management., • Proven digital transformation and technology implementation success., • MBA or related Master’s preferred., • APICS/ASCM (CPIM, CSCP) strongly recommended; data science or Lean Six Sigma certifications valued., • Advanced Excel skills (including VBA)., • Proficiency with R, Python, or SAS., • Experience with Tableau, Power BI, or equivalent BI tools., • Familiarity with SAP IBP, Anaplan, or JDA/Blue Yonder; SQL/Snowflake/BigQuery beneficial., • Strong strategic thinking, analytical problem-solving, and communication skills., • Ability to operate effectively in global, fast-paced, and ambiguous environments., • Flexible hybrid work environment., • Generous PTO., • Medical, dental, vision, and prescription coverage., • 401(k) with company match., • FSA/HSA options., • Tuition reimbursement., • Employee product discounts., • Parental leave. This position offers the opportunity to join a dynamic, tech-forward organization shaping the future of the jewelry industry. You’ll drive high-impact initiatives, mentor rising talent, and lead transformational planning capabilities in a fast-paced NYC environment.