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Job Description We are looking for a Lead Information Security Architect who will be responsible for developing and maintaining a comprehensive information security architecture program and representing information security requirements for all technology solutions and business processes covering multiple technical disciplines, such as systems & networking infrastructure, DevOps, security, business applications, cloud security, and data architecture. The role oversees cybersecurity for our company's digital products, including software, firmware or products that contain code. This includes implementing a product security program designed to address cybersecurity across all stages of the product life cycle. This role identifies and oversees the mitigation of technical and operational threats; analyzes the security, supportability, and feasibility of new technology; and ensures conformance with regulatory guidelines and industry best practices. This position requires an extremely high level of analytical problem-solving skills to diagnose and resolve complex technical issues in addition to superlative process management and communication skills. Note: U.S. citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time. To be Successful in this Role • Develop an architectural vision to support the continued growth of the product suite, • Working knowledge of Data Security Best Practices: At Rest, In Flight, In Use, • Experience with privacy-enhancing technologies and encryption techniques., • Working knowledge of cloud security architecture strategies, frameworks, and reference models, • Proven ability to develop effective partnerships with senior management and peer organizations. Must be able to explain technical concepts and problems to nontechnical senior executives, • Ability to build Risk Models and analyze security weaknesses in complex technology deployments., • Provide security expertise and direction on projects related to cloud architecture and design, implementation, maintenance, governance, and risk management, • Work with governance teams to establish automated processes and best practices for AWS, Azure IAM policies, roles, identity federation, etc., • Conduct automated (preferred) or manual security validation of cloud templates and/or cloud infrastructure, • Collaborate with business units and corporate partners to ensure they build solutions consistent with the organization's policies, programs, architectural recommendations, and information security standards, • Develop, establish, enforce, and sustain the Information Security Architecture, including standards and guidelines for infrastructure solutions and technologies, integration methodologies and practices, development processes, hardware platforms, and enterprise data design., • Partner with stakeholders in building and implementing a robust, scalable, and agile information security architecture, • Partner with stakeholders in assessing the IT application & infrastructure portfolios today and design and execute the future state strategy to meet business objectives going forward., • Make recommendations on the strategic use of technology for leveraging business results and work with stakeholders to incorporate these recommendations into appropriate roadmaps and life cycle plans., • Anticipate and ensure alignment with long-term business requirements, ensuring identified change is reflected in the appropriate roadmaps, providing thought leadership both internally and externally, • Minimize the number of architectural components and total cost of ownership while maintaining maximum of functional flexibility, reliability, and security., • Must be able to balance the role of strategist with urgency while simultaneously managing and delivering results in a growing and fast-paced environment., • Must demonstrate the ability to manage via influence and have the credibility and interpersonal skills to become respected as a thought leader. Must be capable of articulating pragmatic, sensible, and simple solutions while executing across multiple business and technical perspectives., • Act as a role model for service mentality, building long-term relationships with key internal customers and stakeholders, while remaining receptive to the customer's needs, • Facilitate and steward the documenting of the architecture design and analysis work, including the capture and mapping of the relationships between architecture components. You Will Have • 8+ years’ experience dedicated to information security architecture required with expert knowledge in building defense in-depth reference architecture, • Required industry security certification (e.g., CISSP, CISM, CISA, CCSP, etc.), • Familiarity with information management practices, system development life cycle management, IT services management, agile and lean methodologies, infrastructure, and operations., • Knowledge of business ecosystems, SaaS, infrastructure as a service (IaaS), platform as a service (PaaS), SOA, APIs, open data, microservices, event-driven IT and predictive analytics., • Hands-on experience with Cloud Technologies AWS, Azure & GCP, • Good understanding of security management solutions, including IDS, IPS, SIEM, Vulnerability Scanning, Denial of Service, and Continued Compliance, • Experience with attacks and mitigation methods, with experience working in two or more of the following: Network protocols and secure network design; Operating system internals and hardening (e.g. Windows, Linux, OS X, Android); Web application and browser security; Security assessments and penetration testing; Authentication and access control; Applied cryptography and security protocols; Security monitoring and intrusion detection, Incident response and forensics; Development of security tools, automation or frameworks, • Experience in managing and contributing to incident response, • Extensive experience in developing strategic information security plans, including the development of baseline security standards, information system hardening guides, and information security requirements documentation., • Excellent analytical skills, organizational, time management, and problem-solving skills are essential.is work, including the capture and mapping of the relationships between architecture components.

Job DescriptionSchmidt Sciences is a nonprofit organization founded in 2024 by Eric and Wendy Schmidt that works to accelerate scientific knowledge and breakthroughs with the most promising, advanced tools to support a thriving planet. The organization prioritizes research in areas poised for impact including AI and advanced computing, astrophysics, biosciences, climate, and space—as well as supporting researchers in a variety of disciplines through its science systems program. The Schmidt Sciences Climate Institute seeks to understand how our planet works and the ways it's changing, connect climate research to action by developing science-driven tools, and empower interdisciplinary networks needed to drive climate solutions. Reporting to the Climate Director, the Program Scientist will execute on all aspects of strategic grantmaking for the Earth system modeling portfolio, including leading the Virtual Earth System Research Institute (VESRI) program and advancing our new cross-cutting AI for Climate, Energy, and the Environment (AI4ECE) initiative. We seek a mid-career scientist with deep subject matter expertise ranging from climate model development to AI/ML-enabled emulators to calibration frameworks. The Program Scientist sets the scientific direction for the portfolio and leads the review and diligence of research proposals, tracking gifts and grants throughout their lifecycle, as well as supporting the awardee community. As part of their responsibilities, the Program Scientist, working with the Institute Lead, Director, and Advisory Board, will lead an integrated and interdisciplinary team to develop new areas and approaches for Earth system modeling research. They will manage existing and new programs, including a proposed multi‑phase Climate Modeling Challenge to shorten model development cycles by enabling rapid integration of model improvements (e.g., novel parameterizations, emulators, ML components). Virtual Institute: Schmidt Sciences has developed a model called the Virtual Institute which we define as a network of multiple high-risk, high-impact research projects typically composed of multiple international teams taking complementary approaches to a common problem. The Program Scientist will ensure the success of current VESRI projects and create a roadmap for future funding, including the launch of the Climate Modeling Challenge. Currently in its 5th year, VESRI aims to improve the realism and credibility of Earth system models and create a new generation of models more responsive to data and more adaptable to planning needs. To date, VESRI has convened hundreds of climate and data scientists across 11 countries, and ~50 institutions to advance methods and algorithms that improve representation of essential processes in Earth system models and promote team science, sustainable software, and open data. As VESRI evolves and expands, we seek an expert who can lead the strategic application of recent advances in AI/ML methods to address a range of limitations in current Earth and energy systems models to achieve orders-of-magnitude faster development cycles. AI for Climate, Energy, and the Environment (AI4ECE): The Climate Institute seeks to advance a new cross-cutting initiative focused on applying AI/ML to better couple Earth and energy system models to deliver accurate, reliable, decision‑relevant insights on climate impacts, decarbonization pathways, and resource needs. While there are significant dedicated efforts, particularly in the private sector, in using AI/ML for shorter-term weather forecasting, the AI4ECE initiative will focus on improving medium-to-long term climate projections which we believe remain under-resourced and under-funded. Purely data-driven models, while skilled at short to medium term forecasting, fail to represent the internal variability of Earth systems and do not extrapolate well to different forcings (e.g. unseen emission scenarios) because they are missing the representation of processes that evolve slowly (e.g. carbon cycle, ocean carbon/heat uptake) and any associated feedbacks. The Program Scientist will work collaboratively across the Climate Institute to drive the success of this initiative. Key Responsibilities for this role include the following:Grantmaking and Strategic Leadership: • Set the scientific vision and ensure the success of the Earth system modeling portfolio., • Lead all aspects of annual grantmaking for multi-million dollar awards, assessing opportunities, evaluating the impact, and managing diverse recipient organizations., • Manage a complex, international portfolio: milestones, risk, inter‑team dependencies, and synthesis of technical progress into model‑facing outputs ready for integration into global modeling centers., • Build cross-disciplinary collaborations across Earth and energy science communities, integrating models and data from currently siloed communities, and ultimately tailoring model outputs to the needs of climate action., • Serve as an expert advisor on scientific topics for the climate team, including coupled model development, climate emulators, AI and machine learning, Earth system model scenarios, carbon emissions and attribution, and climate mitigation., • Review and vet research proposals for scientific promise and viability, in conjunction with the broader Climate team., • Work with other parts of Schmidt Sciences while bringing an objective scientific approach to a variety of societal and organizational challenges., • Architect, launch, and lead the next phase of VESRI beginning with the Climate Modeling Challenge, including leading RFP process., • Drive the internal project assessment process for new and ongoing projects and ensure that the Monitoring, Evaluation, and Learning framework captures key insights for assessing progress and/or alignment within the context of the program’s core priorities and the broader Climate Institute.Partner and Awardee Engagement:, • Broker collaborations with modeling centers to incorporate advances into legacy and next‑gen models without compromising stability or generalizability., • Serve as a credible scientific counterpart to PIs, modeling centers, computing partners, and funders; represent the program in talks, briefings, and synthesis reports. Enable awardees to achieve impact by providing expertise and technical assistance, as appropriate., • Clearly and consistently communicate with awardees, team, and other partners in a transparent, timely, and respectful manner., • Organize Schmidt Sciences-sponsored meetings of awardees, advisors, and field experts., • Identify organizations — including universities, labs, other research facilities, and philanthropic and government organizations — that could work in concert with Schmidt Sciences on efforts relating to Climate., • Represent Schmidt Sciences effectively in meetings, presentations, public forums, and conferences, engaging with awardees, leaders across sectors, officials, academics, and journalists.Portfolio Development and Organizational Leadership:, • Manage the award proposal process to ensure the overall scientific priorities in the carbon portfolio and set future directions for engagement., • Conduct oversight, management, and evaluation of grants/gifts in the portfolio., • Refine portfolio strategies, pursue new grantmaking opportunities, and conduct research in strategic priority areas., • Integrate strategic communications and evaluation into grantmaking; foster ongoing learning among grantees and staff to inform strategy; and synthesize and share insights., • Help to design programs and strategies that draw upon one or more scientific disciplines related to the program., • Continually monitor and address complex legal, financial, and technical issues that may arise in partnership with Schmidt Sciences grantmaking teams., • Create strategy documents, presentations, etc. for Schmidt Sciences leadership and founders., • Provide support for all existing Climate Institute programs by providing networking assistance, scientific expertise, and mentorship, as needed, and by working closely and collaboratively with the teams responsible for delivery., • Work with other members of the Schmidt Sciences team to drive organizational priorities and role model our values.Required Qualifications:, • A scientific doctorate from an accredited institution., • Demonstrated track record of scientific accomplishments, evidenced by peer-reviewed publications, patents, successful grant applications, or contributions to innovative research projects, ensuring the ability to bring expertise and insights to advance scientific objectives., • At least 7 years of work experience, preferably with at least some experience in non-profits, philanthropy, or government post PhD., • Demonstrated ability to collaborate and a record of impact in high-intensity, team-based environments., • The highest integrity and ability to maintain confidentiality., • Be based at the Schmidt Sciences offices in New York and be able to travel within the U.S. and internationally on a regular basis as needed.Desired Knowledge Skills, and Abilities:, • Demonstrated track record of leading and managing large, multi-million dollar programs., • Demonstrated interest in climate-relevant AI/ML techniques, interdisciplinary research and real-world applications., • Strong publication record., • Expert-level experience and credentials in one or more fields of science related to Earth system modeling, emulators, AI/ML methods for climate, and data assimilation., • Ability to critically analyze and assess funding proposals and other opportunities., • Experience working with other science-focused institutions such as philanthropic organizations or academic research institutions., • Experience with deep learning, cloud computing, and geospatial datasets.

Position Summary: The Scientific Computing and Data group at the Icahn School of Medicine at Mount Sinai partners with scientists to accelerate scientific discovery. To achieve these aims, we support a cutting-edge high-performance computing and data ecosystem along with MD/PhD-level support for researchers. The group is composed of a high-performance computing team, a clinical data warehouse team and a data services team. The Lead HPC Architect, Cybersecurity, High Performance Computational and Data Ecosystem, is responsible for designing, implementing, and managing the cybersecurity infrastructure and technical operations of Scientific Computing’s computational and data science ecosystem. This ecosystem includes a 25,000+ core and 40+ petabyte usable high-performance computing (HPC) systems, clinical research databases, and a software development infrastructure for local and national projects. The HPC system is the fastest in the world at any academic biomedical center (Top 500 list). To meet Sinai’s scientific and clinical goals, the Lead brings a strategic, tactical and customer-focused vision to evolve the ecosystem to be continually more resilient, secure, scalable and productive for basic and translational biomedical research. The Lead combines deep technical expertise in cybersecurity, HPC systems, storage, networking, and software infrastructure with a strong focus on service, collaboration, and strategic planning for researchers and clinicians throughout the organization and beyond. The Lead is an expert troubleshooter, productive partner and leader of projects. The lead will work with stakeholders to make sure the HPC infrastructure is in compliance with governmental funding agency requirements and to promote efficient resource utilizations for researchers This position reports to the Director for HPC and Data Ecosystem in Scientific Computing and Data. Key Responsibilities: HPC Cybersecurity & System Administration: • Design, implement, and manage all cybersecurity operations within the HPC environment, ensuring alignment with industry standards (NIST, ISO, GDPR, HIPAA, CMMC, NYC Cyber Command, etc.)., • Implement best practices for data security, including but not limited to encryption (at rest, in transit, and in use), audit logging, access control, authentication control, configuration managements, secure enclaves, and confidential computing., • Perform full-spectrum HPC system administration: installation, monitoring, maintenance, usage reporting, troubleshooting, backup and performance tuning across HPC applications, web service, database, job scheduler, networking, storage, computes, and hardware to optimize workload efficiency., • Lead resolution of complex cybersecurity and system issues; provide mentorship and technical guidance to team members., • Ensure that all designs and implementations meet cybersecurity, performance, scalability, and reliability goals. Ensure that the design and operation of the HPC ecosystem is productive for research., • Lead the integration of HPC resources with laboratory equipment for data ingestion aligned with all regulatory such as genomic sequencers, microscopy, clinical system etc., • Develop, review and maintain security policies, risk assessments, and compliance documentation accurately and efficiently., • Collaborate with institutional IT, compliance, and research teams to ensure all regulatory, Sinai Policy and operational alignment., • Design and implement hybrid and cloud-integrated HPC solutions using on-premise and public cloud resources., • Partner with other peers regionally, nationally and internationally to discover, propose and deploy a world-class research infrastructure for Mount Sinai., • Stay current with emerging HPC, cloud, and cybersecurity technologies to keep the organization’s infrastructure up-to-date., • Work collaboratively, effectively and productively with other team members within the group and across Mount Sinai., • Provide after-hours support as needed., • Perform other duties as assigned or requested. Requirements: • Bachelor’s degree in computer science, engineering or another scientific field. Master's or PhD preferred., • 10 years of progressive HPC system administration experience with Enterprise Linux releases including RedHat/CentOS/Rocky Systems, and batch cluster environment., • Experience with all aspects of high-throughput HPC including schedulers (LSF or Slurm), networking (Infiniband/Gigabit Ethernet), parallel file systems and storage, configuration management systems (xCAT, Puppet and/or Ansible), etc., • Proficient in cybersecurity processes, posture, regulations, approaches, protocols, firewalls, data protection in a regulated environment (e.g. finance, healthcare)., • In-depth knowledge HIPAA, NIST, FISMA, GDPR and related compliance standards, with prove experience building and maintaining compliant HPC system, • Experience with secure enclaves and confidential computing., • Proven ability to provide mentorship and technical leadership to team members., • Proven ability to lead complex projects to completion in collaborative, interdisciplinary settings with minimum guidance., • Excellent analytical ability and troubleshooting skills., • Excellent communication, documentation, collaboration and interpersonal skills. Must be a team player and customer focused., • Scripting and programming experience. Preferred Experience • Proficient with cloud services, orchestration tools, openshift/Kubernetes cost optimization and hybrid HPC architectures., • Experience with Azure, AWS or Google cloud services., • Experience with LSF job scheduler and GPFS Spectrum Scale., • Experience in a healthcare environment., • Experience in a research environment is highly preferred., • Experience with software that enables privacy-preserving linking of PHI., • Experience with Globus data transfer., • Experience with Web service, SAP HANA, Oracle, SQL, MariaDB and other database technologies. Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

About Uphold Uphold is a financial technology company that believes on-chain services are the future of finance. It provides modern infrastructure for on-chain payments, banking, and investments. Offering Consumer Services, Business Services, and Institutional Trading, Uphold makes pioneering financial services easy and trusted for millions of customers in more than 140 countries. Uphold strips away the complexity and lack of transparency to open up Web3 finance for everyone. To learn more about Uphold, please visit ___. The Opportunity We're looking for an experienced Director, Backend Engineer to join our Digital Payments team and help shape the future of our financial platform. In this role, you'll take technical ownership of core backend services that connect Uphold with global bank networks (ACH, SEPA, FPS), card networks (Visa, MasterCard), modern payment methods (Apple Pay, Google Pay) and alternative payment methods. As a senior engineer, you'll drive the design of scalable, reliable, and secure systems, mentor junior engineers, and collaborate cross-functionally with Product, DevOps, Compliance, and other engineering teams to bring impactful features to life. This is a high-impact opportunity for a seasoned backend developer to play a pivotal role in building robust systems that move millions of dollars daily and redefine how users interact with their money. What you'll be doing • Lead the design, development, and maintenance of backend services and APIs that power Uphold's global payment infrastructure., • Architect scalable and resilient services with a strong emphasis on security, observability, and fault tolerance., • Deeply understand the business domain and proactively identify technical solutions to drive product strategy., • Contribute to the evolution of the team's software engineering practices and development lifecycle., • Guide the integration with external payment networks, banking partners, and service providers., • Own the full software development lifecycle (SDLC) from ideation to deployment and monitoring., • Actively mentor and support junior and mid-level engineers through code reviews, pair programming, and architectural discussions., • Participate in on-call rotations to support production systems as needed., • Collaborate closely with stakeholders to define technical requirements and translate them into reliable solutions. What we're looking for • Bachelor's or Master's Degree in Computer Science, Engineering, or equivalent practical experience., • 6+ years of experience in backend development with a strong track record of delivering production-grade systems., • Deep expertise in JavaScript/TypeScript, with proficiency in modern backend frameworks., • Strong knowledge of RESTful APIs, RPC protocols, and microservices architecture., • Experience with event-driven systems and message brokers like Kafka, RabbitMQ, Pulsar, or NSQ., • Advanced understanding of PostgreSQL or other relational databases and Redis., • Familiarity with cloud-native technologies, Docker, Kubernetes, and AWS-based deployment environments., • Commitment to security best practices, particularly for handling sensitive financial data., • Proven experience optimizing systems for performance, scalability, and observability., • Excellent communication skills and the ability to drive consensus in a cross-functional setting., • Passion for mentorship and fostering a collaborative engineering culture. Nice to haves • Experience in the Fintech or payments industry., • Knowledge of Temporal.io or similar orchestration frameworks for distributed workflows., • Familiarity with financial protocols, ISO 20022, or payment gateway integration., • Contributions to open source or internal developer tooling., • Experience implementing CI/CD pipelines in production environments., • Familiarity with SOC2, PCI-DSS, or other compliance requirements in regulated environments. Bonus if you have • Experience in developing APIs for other products you’ve worked on., • Developing software interacting with message queues (e.g. Kafka, NSQ, Pulsar or RabbitMQ)., • Experience in integrating APIs from other services providers., • Proven record of having worked with performance budgets., • Fluency in cryptocurrencies or other digital assets as they are core to our business., • Community talks, certifications, and/or blog posts on your interests and research., • Open source project contributions of any kind, such as tools developed to solve specific problems you’ve had or fixing issues on existing projects. Importantly, if you’re looking for a senior role with us, you will have achieved many of the things above while also providing mentorship to others, and have engaged in public speaking opportunities. What we have to offer you • An amazing work environment in a company that continues to grow, driven by extraordinary and passionate people that keep up innovating and challenging more each day., • An international team, in a cutting edge field, working on the most fascinating projects., • Growth and career opportunities, and the chance to be proactive and creative., • A flexible and enthusiastic work environment that offers you snacks, a lot of coffee and other great benefits., • Open and transparent culture - we get together on a weekly basis to share updates, strategic plans, and engage with each other informally over food and drinks., • Interesting events that keep you connected with the team and celebrate our success.Innovation and Impact: Contribute to pioneering projects in a dynamic and challenging environment., • Strong Company Culture: Thrive in a supportive, collegiate environment with values of integrity, teamwork, accountability, and excellence., • Global Collaboration: Participate in regular updates, strategy sessions, and networking opportunities across the group., • Development Opportunities: Access training and mentorship programs. Salary: $200K+ DOE, + Bonus + Benefits Be part of a great company that is revolutionizing financial services. Apply now! EEOC Employer We're proud to be an Equal Opportunity Employer and we celebrate our employees' differences, including race, color, religion, gender identity, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, and any other protected classes. Difference makes us stronger and better - together.

Valon is building the AI-native operating system for regulated finance, starting with mortgage servicing. We're a Series C company backed by a16z, transforming industries that others have written off as too complex to innovate. Rather than build on top of broken legacy systems, we took a different approach: we built and operate our own mortgage servicing business managing $110+ billion in loans. This wasn't the end goal, it was how we deeply understood the complexity needed to build software that actually works in regulated industries. The results speak for themselves. We've transformed mortgage servicing from a 0% margin business into 60%+ margins while dramatically improving customer experience. Major enterprise contracts are now deploying across the industry. ValonOS is our unified platform that makes every process structured and programmable and it is perfectly positioned for the AI era. When everything flows through one system with rich data, AI agents don't just automate tasks, they continuously improve entire operations. Mortgage servicing is just the beginning of our vision to transform regulated industries and beyond. We’re looking for a Senior Data Engineer to build and own the data systems that power the next phase of Valon’s platform — the AI-native operating system for regulated finance. This is a foundational, multi-year initiative to make ValonOS structured, inspectable, and programmable — the bedrock that enables AI to operate safely and effectively in real-world financial systems. You’ll architect the pipelines, orchestration, and frameworks that transform Valon’s data infrastructure into a product: reliable, observable, and built for scale. This role goes far beyond traditional “data plumbing.” It’s about engineering data as a system, not a service — ensuring every team at Valon can move with precision and speed through a robust, scalable data foundation. You’ll collaborate with data analysts, forward-deployed engineers, and product teams to design infrastructure that’s production-grade, auditable, and AI-ready. You’ll think in systems and tradeoffs, design for scale and observability, and bring a product mindset to everything from orchestration to modeling frameworks. Some example problems on the roadmap: * Migrate dbt Cloud jobs to Airflow for reliability, flexibility, and cost optimization. * Stand up a medallion architecture for analytics and reporting. * Implement data contracts and observability frameworks (e.g., Great Expectations). * Build self-serve data tooling that allows every team to access high-quality data safely and efficiently. * Lay the groundwork for 10x scaling of multi-tenant SaaS data operations. This is a high-impact role for someone who thrives on complexity and wants to shape the data foundation that makes regulated AI possible. * Design, build, and evolve Valon’s core data infrastructure — orchestration, modeling frameworks, and data pipelines. * Partner with analytics, engineering, and product teams to define and implement data contracts and observability systems. * Develop fault-tolerant, auditable, and high-performance pipelines for both internal and client-facing data applications. * Migrate and modernize existing systems (e.g., dbt Cloud → Airflow) to support scale and cost efficiency. * Implement the medallion architecture to structure analytics layers and ensure reliability at scale. * Build and maintain self-serve data access tools to empower internal teams. * Own technical strategy and execution for Valon’s data foundation — balancing near-term performance needs with long-term scalability. * Advocate for best practices in data modeling, reliability, observability, and developer experience across the company. * 5+ years of data engineering or systems engineering experience, ideally in startup or growth-stage environments (Series B–E). * Proven experience designing and scaling data infrastructure — from ingestion and orchestration to modeling and observability. * Deep understanding of modern data stacks: Python, SQL, dbt, Airflow, and cloud-native environments (AWS/GCP/Azure). * Strong grasp of data architecture patterns (e.g., medallion, lakehouse, modular data modeling). * Experience implementing data quality frameworks, observability tools, or data contracts at scale. * A product mindset — you care about usability, reliability, and the developer experience of your data systems. * Bonus: Experience in fintech, logistics, or other regulated, data-heavy domains. * Compensation: Competitive salary with a meaningful stake in the company via equity, and 401k plan * Health & well-being: We’ll invest in your physical and mental well-being with comprehensive medical, dental, & vision benefits * Commuter benefits: We offer pre-tax deductions for public transportation, rideshare services, and parking expenses to make your commute more affordable and convenient * Grow together: Company wide orientation for you to successfully onboard and other learning & development opportunities including regular review cycles that feature 360 degree feedback * Play together: Quarterly budgets for team and company outings. Use it for team swag, cooking classes, or team dinners! * Generous time off: Flexible paid time off, sick days, and 11 company holidays * Baby bonding time!: 12 weeks off for both birthing and non-birthing parents - fully paid so you can focus your energy on your newest addition Throughout the interview process, please remember that emails will only be from ___ emails. We won't ever be asking for any personally identifiable information during the interview process itself. Please reach out to if you have any requests to verify the authenticity of an outreach. Valon is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Valon makes hiring decisions based solely on qualifications, merit, and business needs at the time.

Fundwell is a modern business financing platform redefining how small and medium-sized businesses access capital. We deliver fast, trusted funding solutions through a combination of cutting-edge technology and personalized service. We are on a mission to help businesses thrive by simplifying and accelerating the financing process. We're seeking an exceptional Lead Data Scientist to drive AI/ML innovation within our Technology team. In this role, you'll architect and deploy advanced AI/ML systems while mentoring a team of data scientists and shaping our data science strategy. You'll partner closely with Product and Revenue leadership to transform our core business through intelligent automation, predictive insights, and data-driven decision-making. * Lead the design, development, and deployment of production-grade machine learning models that automate and optimize critical underwriting processes, delivering measurable business impact * Conduct sophisticated exploratory data analysis and statistical modeling to uncover high-value opportunities across underwriting and customer operations * Analyze complex, multi-modal datasets—including financial records, commercial data, alternative data sources, and temporal patterns—to extract actionable intelligence and improve model performance * Develop automated monitoring systems to continuously track model accuracy, fairness, drift, and regulatory compliance * Collaborate with Engineering teams to integrate ML models into production systems, enabling autonomous real-time decision-making at scale * Evaluate and implement the optimal statistical and modeling approaches—from traditional techniques like logistic regression and segmentation to modern deep learning architectures—based on problem requirements * Champion a culture of experimentation, innovation, and continuous learning within the data science organization * Deep expertise analyzing diverse data types—financial, commercial, behavioral, demographic, telephonic—across various formats including structured, unstructured, time series, and real-time streaming data * Strong command of the complete ML lifecycle from problem formulation through production deployment, monitoring, and iteration * Proficiency with modern ML frameworks, cloud platforms, and MLOps tools for building scalable AI systems * Proven track record selecting and applying advanced statistical and ML techniques—classification, regression, clustering, ensemble methods, neural networks—to drive business outcomes * Ability to balance technical sophistication with pragmatic delivery, knowing when to leverage state-of-the-art methods versus proven approaches * Strong business acumen with demonstrated ability to connect data science initiatives to revenue growth, cost reduction, and strategic objectives Why Join Fundwell * Generous paid time off * 401(k) retirement plan * Opportunities for professional growth and advancement within a rapidly growing fintech leader. * Collaborative, supportive team culture with a focus on training and development. * Prime office location in New York, NY. Our Commitment to You Fundwell is an equal employment opportunity employer. We adhere to a policy of making employment decisions without regard to age, race, color, creed, religion, political affiliation, gender, sexual orientation, sexual identification, ancestry, national origin, citizenship, marital status, domestic or civil union partnership status, disability or handicap, veteran or military status (e.g. National Guard or Reserves).

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. We are seeking our first Data Engineer, someone who can refine our data infrastructure, drive best practices for building data pipelines, and collaborate closely with both engineering and business teams to ensure every data need is met. If you are a self-starter with a proven track record of architecting end-to-end data solutions, we’d love to hear from you. Our team works in person 5 days a week at our SoHo office in NYC. • Architect, build, and maintain ETL pipelines and workflows that ensure high data quality and reliability, • Design and manage a central data lake to consolidate data from various sources, enabling advanced analytics and reporting, • Collaborate with cross-functional stakeholders (product, engineering, and business) to identify data gaps and develop effective solutions, • Implement best practices in data security and governance to ensure compliance and trustworthiness, • Evaluate and integrate new technologies, tools, and approaches to optimize data processes and architectures, • Continuously monitor, troubleshoot, and improve data pipelines and infrastructure for performance, scalability, and cost-efficiency, • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field, • 5+ years software development experience at a venture-backed startup or top technology firm, with a focus on data engineering, • Significant hands-on experience in data engineering (ETL development, data warehousing, data lake management, etc.), • Adept at identifying and owning data projects end to end, with the ability to work independently and exercise sound judgment, • Proficient in Python and SQL; comfortable working with cloud-based data stack tools, • Familiar with big data processing frameworks (e.g., Spark, Hadoop) and data integration technologies (e.g., Airflow, DBT, or similar), • Experience implementing data governance, security, and compliance measures, • Strong collaboration and communication skills, with the ability to translate business requirements into technical solutions, • Prior experience in a high-growth or startup environment is a plus, • You are comfortable working in-person 5 days a week The salary range for this position is set between $190,000 and $250,000. However, adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description. PTO: Unlimited Insurance: Medical + Dental + Vision + 401K + Wellness Benefits 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

Location/Office Setup: NY, NY — Hybrid (3 days in-office) Who We Are: Our mission is simple: treat media as an asset class and use innovative technology to accelerate meaningful growth and transformation for our clients. We’ve helped multiple organizations go public, and we’ve guided clients through everything from bankruptcy turnarounds to successful exits. About the Role: We’re looking for a highly skilled and entrepreneurial Senior Data Engineer to become a founding member of our in-house product team. While much of our internal data infrastructure will be built from the ground up, you’ll also work closely with our proprietary algorithms and existing analytic models, helping to scale and strengthen these critical assets. This is a hands-on, high-impact role. You’ll be responsible for designing and implementing a scalable data architecture while collaborating with offshore consultants. You’ll lay out the technical foundation for our analytics, reporting, and product evolution—and help shape the future of the data team as it grows. What You’ll Do: • Architect and build scalable, fault-tolerant ETL/ELT pipelines to ingest and transform data from multiple sources into data warehouses and lakes., • Design, implement, and optimize data models and storage layers for performance, scalability, and quality., • Develop complex SQL queries and Python scripts to support transformation and automation workflows., • Collaborate with internal stakeholders to scale and enhance the performance of our existing proprietary algorithms and related models., • Partner with offshore consultants and internal teams to ensure consistency, accuracy, and availability of data., • Define and implement best practices for data governance, security, and quality., • Own data infrastructure documentation and establish foundational processes for future team scaling., • 7+ years of experience in data engineering, with hands-on experience building and maintaining modern data pipelines., • Bachelor's degree preferably in Computer Science, Engineering, Information Systems, or a related quantitative field., • Expert-level SQL skills with demonstrated experience writing complex queries, optimizing performance, and working across large-scale relational and cloud data environments., • Strong programming skills in at least one modern language (e.g., Python, Scala, or Java)., • Experience with both relational and non-relational databases (e.g., PostgreSQL, SQL Server, DynamoDB)., • Experience with cloud data platforms such as AWS (S3, Redshift, Glue), Azure, Snowflake, or Databricks., • Familiarity with big data tools (e.g., Spark, Kafka, Hadoop)., • Version control experience (e.g., Git)., • Strong communication skills and the ability to translate technical concepts to non-technical stakeholders., • Comfortable working autonomously and navigating ambiguity in a startup-like environment., • Familiarity with data visualization tools (e.g., Tableau, Power BI) and basic data analysis., • Exposure to streaming data technologies., • Background in data governance and/or Master Data Management (MDM). What We Offer: • Competitive salary • Full coverage health insurance including Medical, Dental, and Vision • 401K with company contribution • 17+ vacation days in addition to company holidays, sick days, and summer Fridays • Pre-taxed commuter benefits • 16 weeks of paid parental leave And more... What We Value: One Team. We’re all in. When we win, we win together. When we miss, we learn together. Collaboration isn’t optional; it’s how we operate. Everyone plays a part, everyone has a stake, and every result belongs to all of us. Maximum Transparency. We are transparent, both internally and externally. The value we deliver comes from leveraging those truths to drive actionable solutions that move the business forward. Ownership Culture. We believe in moving with purpose. We don’t wait for perfect conditions - we identify opportunities, make informed decisions, and execute with speed and accountability. Success is measured by what we accomplish, not just what we plan. Digital Matter is an Equal Opportunity Employer and is committed to fair and equitable hiring practices. All hiring decisions at Digital Matter are based on strategic business needs, job requirements, and individual qualifications. All candidates are considered without regard to race, color, religion, gender, sexuality, national origin, age, disability, genetics, or any other protected status Note to Recruiters and Placement Agencies: We do not accept unsolicited agency resumes. $140,000 - $210,000 a year

About Us MarketAxess is on a journey to digitally transform one of the world’s largest financial markets, enabling the shift from analog, phone-based trading to a fully electronic marketplace. Why does this matter? Because our platform makes trading fixed-income more accessible, ultimately improving transparency, efficiency, and competition in the marketplace. Changing the way an established industry transacts is no easy feat. There will be twists and turns, because no one’s ever done this before. But now, more than 2,000 clients around the world rely on our solutions, and that number is only expected to grow in the years ahead. We know where we’re going. How we get there is up to us. Join us and help Take Us There. The Role We are seeking a hands-on Senior Data Engineer to join our Data and Analytics Platform team, driving the strategy, design and implementation of our next-generation cloud-based Data Fabric and Data Mesh platform (Data Platform 2.0). This is a deeply technical role for a builder who enjoys writing high-quality code, designing scalable systems, and working directly with engineering teams to implement complex, real-time data solutions. You’ll be equally comfortable sketching out an event-driven architecture for a business unit, contributing code to shared data infrastructure, and guiding implementation across multiple domains. This role is pivotal to enabling teams to create scalable, data-driven products and underpinning our enterprise-wide data strategy. Our Vision We believe decentralized data is the future, with Data Platform 2.0 as the key to unlocking its potential. Our vision is a world where data is treated as a product, ownership is distributed to foster innovation, and domain-oriented, decentralized infrastructure drives agility and collaboration. While supporting challenging data sets, and, flexible scenarios required for Agentic AI, Sandbox environments and more The Data Platform 2.0 transforms data into a strategic asset. Through well-defined data domains and business ownership, we aim to: • Empower teams with self-serve data infrastructure, • Treat Data Domains as first-class products, • Shift responsibility to domain teams to foster accountability and innovation By embracing platform thinking and adhering to the four pillars of Data Mesh: data ownership, data as a product, self-service infrastructure, and federated governance. We are enabling a seamless experience for creating, discovering, and utilizing trusted, connected, and real-time data. If you are passionate about shaping the future of data through cutting-edge architectures, fostering a culture of data stewardship, and enabling decentralized innovation, we’d love to hear from you! How You'll Help Take Us There • Collaborate with Product Managers, Data Scientists, Engineers and analysts on critical initiatives to build and distribute revenue producing data products, • Architect, design, build and implement and support data pipelines and products to support Agentic Al, Streaming SQL, ML and analytical use cases, • Lead the architecture, implementation, and operations of platforms and tools for securing, processing, and querying data at scale, • Provide the leadership and research of new technologies within the team, • Collaborate with and across Agile teams to design, develop, test and implement data and analytics solutions, • Design, build, and scale infrastructure in Cloud (e.g., AWS, Iceberg, Bedrock) and analytics applications using big data and machine learning technologies, • Participate in setting the standards for cloud-based initiatives, • Architect and develop end to end scalable data applications and data pipelines What We’re Looking for • 12+ years of progressive software/data engineering experience with high proficiency in two of the following: Python, Java or Scala, • Experience in cloud computing (e.g. applications, infrastructure, storage, data and platforms), • Designing and building complex, highly scalable, reliable data pipelines, using the Big Data ecosystem (Spark, Iceberg, Glue Catalog, Kafka or equivalents), • Cloud native application and cloud services architecture on AWS (MSK, Flink, Bedrock, Lambdas, Spark/EMR), • API and microservices architecture, • Streaming and event processing architectures and platforms (e.g., Kafka, FlinkSQL, Python), • Structured and unstructured databases and usage patterns, • High-speed, high-volume, high-frequency transaction processing systems, • Real-time logging, monitoring and resiliency approaches, • Process automation approaches and tooling (e.g., DevOps, GitOps and AIOps), • UNIX/Linux OS and scripting skills, • Infrastructure as code technologies, such as Terraform, Helm Charts and CloudFormation, • Databases, both SQL and NoSQL (Redis, Oracle, DuckDb, OpenSearch, Mongo, etc), • Knowledge in Docker, Kubernetes is a plus, • Craftsman-like approach to building software; takes pride in engineering excellence and instils these values within the team and others, • A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review or pairing, unit testing, refactoring and related approaches, • Excellent problem-solving and critical-thinking skills; demonstrated ability to employ fact-based decision-making to resolve complex problems, by applying logic analysis, experience and business knowledge, • Proven ability to build and maintain effective, trusting partnerships with product managers, architects and technical leads for individual products and applications, • E-trading and financial services industry experience is a plus, • Strong presentation skills: written and verbal communication including the ability to influence, • BS/MS degree in Computer Science, Engineering, or a related subject What You Can Expect from Us • Hybrid Environment: Our employees enjoy a mix of working in the office and from home, • Free Food: We provide free lunch for employees when they are working in the office. Plus, our offices are stocked with snacks, • Paid Time Off: Competitive PTO package including vacation and personal days, sick leave and charity days, • Generous Parental Leave: Up to 20 weeks fully paid leave, • 401(k): Dollar-for-dollar employer match up to $17,500, • Employee Stock Purchase Plan: Employees can purchase MarketAxess common stock at a discount, • Wellness Stipend: We provide employees with up to $1K annually towards gym memberships, home office equipment and more, • Onsite Healthcare: We offer convenient access to world-class care through Mount Sinai at our Hudson Yards location, • Tuition Assistance and Professional Development: Benefit from live and on-demand learning, role-specific training, employee-led Lunch and Learns and guest speakers, • Core benefits: Highly competitive medical, dental, and vision programs For job positions in NYC, NY, and other locations where required, the estimated salary range for a new hire into this position is $150,000 USD to $225,000 USD. Actual salary may vary depending on job-related factors, which may include knowledge, skills, experience, and location. You may also be eligible for annual cash incentives, equity, and other benefit programs. MarketAxess Corporation and its affiliates provide equal employment opportunities to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, veteran status, or any other legally protected characteristic in the location in which the candidate is applying. All of your information will be kept confidential according to EEO guidelines.

The Company You’ll JoinAt Qloo, our cutting-edge Taste AI technology leverages extraordinary amounts of data—over half a billion records of public figures, places, and things, plus a globe-spanning consumer behavior and sentiment database—to unearth deep insights about consumer preferences. From understanding global travel trends to curating ___ based on your unique tastes, our Taste AI engine sifts through the noise to find the signals that matter. ___. Read more about our recent Series C funding ___. The Team You’ll Work With Reporting to the Director of Data Engineering, you’ll work cross-functionally across the Engineering organization to emphasize designing and optimizing data processing systems for maximum performance, efficiency, and accuracy. Our team is composed of top-notch engineers and scientists who are passionate about creating data-driven solutions that make a lasting impact. We are a growing team dedicated to advancing Taste AI. Hear what the team has to say – “The team culture at Qloo is highly collaborative and supportive, with a strong emphasis on mutual assistance. Each team member is approachable and committed to lending a hand, creating an environment where everyone feels supported and valued...” - Sreekant, VP of API Engineering. The Impact You’ll HaveYou’ll be playing a pivotal role in creating robust data pipelines that power Taste AI and make the results accessible through our API. You will be responsible for understanding the intricacies of the data sources to architect, develop, and improve our automated data pipelines. Our ideal candidate will immediately provide value by:+ Designing, developing, and maintaining automated data pipelines on Airflow using Python, PySpark, and SQL (Presto/Trino) + Ensuring data quality by being proactive in catching and rectifying quality issues in underlying data+ Collaborating with data scientists and other engineers to define data requirements and structures+ Writing unit tests and conducting system testing to ensure the reliability and integrity of data+ Optimizing data pipelines for maximum speed, scalability, and accuracy+ Staying up to date with emerging trends and technologies in data engineering, data processing, distributed computing, and data quality assurance To be a successful match, you must have:* 2 - 5 years of experience in data engineering* Bachelor's degree in computer science, software engineering, or a related field* Experience with SQL. Experience with Spark would be preferred,but not a requirement* Experience with automating data processing through Python libraries like Airflow* Strong problem-solving and analytical skills with keen attention to detail* Experience with AWS or other cloud platforms* Ability to manage multiple projects simultaneously and meet tight deadlines What We Offer* Competitive salary and equity package, and holistic perks and benefits, including:- 100% health insurance coverage, with ability to join group dental and vision for a nominal fee- Team lunches every Thursday in NYC office- 4% 401K matching- 20 paid time off days- 5 paid sick days- 12 weeks of paid parental leave- 10+ annual company holidays * Opportunities for professional development and growth within a dynamic environment* A supportive and inclusive company ethos where your ideas are valued, your contributions are recognized, and your impact is tangible* The chance to be part of a small but mighty team that's making waves in the industry and shaping the future of technology* Beautiful HQ in Soho, NYC with the opportunity to work in-office, if desired We are open to different backgrounds and tenure for this hire and compensation will be commensurate with experience. Please note that equity may also be included in our total package, depending on role and level.$120,000 - $150,000 a yearWe are open to candidates with different backgrounds and levels of experience. Compensation will be commensurate with experience, and equity may be included in the total package depending on role and level.

About Constellation: Constellation is a cutting-edge AI solution that empowers highly regulated and complex industries with the insights and content they need to fuel their business. Specializing in industries such as healthcare, automotive, insurance, and finance, our powerful data/AI insights tools inform the creation of compliant content at scale. We enable our customers to harness their data and streamline the creation of localized, personalized content. A global, NYC-based company, Constellation has been revolutionizing marketing technology and data intelligence in order to drive exponential growth since its founding in 2016. Constellation was named the 65th Fastest-Growing Private Company in America, the 10th Fastest-Growing Women-Owned Private Company, and the 7th Fastest-Growing Marketing & Advertising Company by Inc 500. In 2022, our platform won the Digiday Technology Award for Best Marketing Automation Platform. About the Role We are seeking an experienced Senior Data Scientist to spearhead the development and optimization of our Automotive predictive models. This role will involve leading end-to-end model development, from data preprocessing to deployment, and collaborating with cross-functional teams to deliver scalable, high-impact AI models and solutions. The ideal candidate is a strategic thinker with deep expertise in machine learning, deep learning, and transformer architectures, self-motivated with a proven ability to drive and advance projects. What You’ll Do • Lead Predictive Model Development:, • Model Development: Architect, develop, and fine-tune inventory predictive models to address complex decision-making challenges., • Model Evaluation: Define and implement metrics to evaluate model performance, iterating on designs to improve accuracy, efficiency, and robustness., • Model Deployment: Collaborate with engineering teams to deploy models into production environments, ensuring scalability, reliability, and performance., • Documentation: Document methodologies, experiments, and results., • Research and Innovation: Stay at the forefront of advancements in deep learning, transformer architectures, reinforcement learning, and sequential decision-making, applying cutting-edge techniques to enhance model performance., • Mentor & Scale the Team: Coach junior and mid-level data scientists and engineers, review code, drive standards, and help shape a culture of high performance, curiosity, and inclusivity., • Collaborate Cross-Functionally: Work closely with Product, Engineering, Design, and GTM teams to integrate intelligent systems into customer-facing features and internal tooling., • Model Business-Critical Outcomes: Develop models for inventory and pricing optimizations, leveraging both structured and unstructured data. What We’re Looking For • Experience:, • 8+ years of experience in data science, ML engineering, or applied AI, with a track record of delivering high performance models (Kaggle competition etc.) and shipping models in production., • Familiarity with automotive data domains is a strong plus, whether in marketing analytics or vehicle inventory intelligence., • Technical Expertise:, • Deep experience with Python and classic ML (Pandas, NumPy, Scikit-learn) and modern ML/DL libraries (PyTorch, TensorFlow, Hugging Face)., • Experience leveraging longitudinal data to uncover trends, patterns, and predictive insights for complex, dynamic datasets., • Preprocessing data skills to prepare both structured and unstructured data for ML/DL models, ensuring data quality, feature engineering, and compatibility with model requirements., • Deep understanding of transformer architectures, reinforcement learning, and sequential decision-making models., • Strong command of SQL and data modeling in cloud warehouses (e.g., Snowflake, BigQuery, Redshift)., • Worked with Agile development environment, participating in sprints, stand-ups, and iterative project cycles to deliver high-quality data-driven solutions., • Develop and maintain production-level code to ensure scalable, efficient, and reliable data pipelines and ML/DL models., • Problem Solving:, • Strong analytical skills with a track record of solving complex, real-world problems using data-driven approaches., • Mindset to try different approaches and think outside the box., • Ownership and leadership:, • Proven ability to lead projects, mentor team members, and manage end-to-end model development lifecycles., • Communication:, • Communication and mentorship skills, with a collaborative mindset and a passion for helping others grow. Bonus Experience • Experience with model lifecycle management, pipelines, monitoring, and experiment tracking using modern tooling like MLflow, SageMaker, or Vertex AI., • Experience building systems using AWS (Lambda, SageMaker, EC2, Batch, S3) or similar cloud platforms., • Experience with probabilistic modeling (e.g., PyMC3, Stan)., • Familiarity with graph databases (e.g., Neo4j) and modeling network effects., • Prior exposure to recommendation engines, survival models, or multi-touch attribution., • Exposure to Looker, Tableau, or similar BI platforms. Diversity & Inclusion: Constellation is an Equal Opportunity Employer, committed to providing a diverse and inclusive environment. Here at Constellation we don't discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally-recognized protected basis under federal, state, or local law. If you need an accommodation during any part of the interview process, due to a disability, please let your dedicated Talent Partner know. Compensation Package: The total compensation package is made up of base compensation, equity, and benefits New York Pay Range: $165,000 - $185,000 #LI-Hybrid: hybrid positions

At Scale AI, we are accelerating the development of artificial intelligence by providing the essential, data-centric infrastructure for building and deploying advanced AI systems. We are looking for a Forward Deployed Data Scientist/Engineer to architect and build the sophisticated data solutions that solve our customers' most complex challenges. This role is for a first-principles thinker who thrives on ambiguity, enjoys solving novel customer problems, and has a passion for applying rigorous data science to deliver measurable business impact. You'll work on a mix of cutting-edge, customer-facing AI implementations. Our team powers projects like TIME’s Person of the Year AI experience, where our technology helped shape one of the most iconic features in media. Leveraging Scale's powerful data infrastructure, you will build bespoke evaluation frameworks, deploy custom statistical models, and architect data pipelines. Your work will play a crucial role in shaping how AI delivers measurable value in real-world applications for industry-leading companies. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with leading enterprise organizations, including top industry leaders in telecommunications, e-commerce, finance, education, publication, insurance, and health. • Drive Impact: Directly contribute to the advancement of AI by delivering critical data science infrastructure and insights for leading AI innovators and enterprise customers., • Customer Collaboration: Interact daily with our technical customers, deeply understanding their unique challenges and translating ambiguous business problems into concrete data-driven solutions and robust statistical models., • End-to-End Data Solution Development: Design, build, and deploy solutions across the entire data lifecycle—from data ingestion and pipeline construction to statistical modeling, experimentation, model evaluation, and insight generation., • Rapid Experimentation: Design and deliver high-quality experiments (e.g., A/B tests, marketplace modeling), iterating quickly to validate hypotheses, meet customer needs, and drive innovation., • Strategic Influence: Act as the voice of the customer to our internal Product, Engineering, and Data Science teams, channeling real-world insights to influence our product roadmap and technical strategy., • Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, from building LLM evaluation frameworks to adapting statistical models for novel economic and business problems., • Leadership Growth: This role offers a unique opportunity to lead critical customer-facing projects, shape our data culture, and accelerate your career growth. You'll be positioned to become a future leader in a company defining the next era of technology., • 8+ years of relevant industry experience in a highly analytical role (e.g., Data Science, ML Engineering, Quantitative Analysis)., • Proven track record of shipping high-quality data products, models, or features at scale., • Strong problem-solving skills and the ability to turn abstract business and product ideas into concrete data science and engineering solutions., • Expert-level coding abilities in Python for data science (e.g., Pandas, NumPy, Scikit-learn) and mastery of complex SQL across large datasets., • Ability to effectively communicate complex technical concepts to both technical and non-technical audiences., • Desire to thrive in a fast-paced, dynamic environment and adapt quickly to the ever-changing world of Generative AI., • Excited to join a dynamic, hybrid team in either San Francisco or New York City., • Experience in a client-facing or consultative role (e.g., Forward Deployed Engineer, Solutions Architect, Data Science Consultant)., • Deep expertise in designing metrics, diagnosing data inconsistencies, and building evaluation frameworks for ML/LLM systems., • Experience with large-scale data processing frameworks and distributed systems (e.g., Spark, Ray)., • Familiarity with marketplace experimentation, causal inference, and advanced statistical modeling., • Experience with cloud-based infrastructure and data warehousing (e.g., AWS, GCP, Snowflake, BigQuery). Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $228,800 - $286,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our for additional information.

PLUM is a fintech company empowering financial institutions to grow their business through a cutting-edge suite of AI-driven software, purpose-built for lenders and their partners across the financial ecosystem. We are a boutique firm, where each person’s contributions and ideas are critical to the growth of the company. This is a fully remote position, open to candidates living in the U.S. with a reliable internet connection. While we gather in person a few times a year, this role is designed to remain remote long-term. You will have autonomy and flexibility in a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. You'll collaborate with a high-performing team — including sales, marketers, and financial services experts — who stay connected through Slack, video calls, and regular team and company-wide meetings. We’re a team that knows how to work hard, have fun, and make a meaningful impact—both together and individually. We are seeking a candidate with experience as, or applicable to, a Senior Data Engineer role with significant demonstrated experience using Python in a cloud environment to lead the design and implementation of scalable data pipelines that ingest and process data from a variety of external client systems. The Senior Data Engineer is critical in building the data infrastructure that powers Plum’s next-generation AI-driven products. You will work with a modern data stack including Python, Databricks, AWS, Delta Lake, and more. As a senior member of the team, you’ll take ownership of architectural decisions, system design, and production readiness—working with team members to ensure data is reliable, accessible, and impactful. • Design and architect end-to-end data processing pipelines: ingestion, transformation, and delivery to the Delta Lakehouse., • Integrate with external systems (e.g., CRMs, file systems, APIs) to automate ingestion of diverse data sources., • Develop robust data workflows using Python and Databricks Workflows., • Implement modular, maintainable ETL processes following SDLC best practices and Git-based version control., • Contribute to the evolution of our Lakehouse architecture to support downstream analytics and machine learning use cases., • Monitor, troubleshoot, and optimize data workflows in production., • Collaborate with cross-functional teams to translate data needs into scalable solutions., • Bachelor's Degree in Computer Science, Engineering, Physics, or a related technical field or equivalent work experience., • 2+ years of experience using Python building and maintaining production-grade data pipelines in a cloud environment., • Proven expertise in Python and SQL for data engineering tasks., • Strong understanding of lakehouse architecture and data modeling concepts., • Experience working with Databricks, Delta Lake, and Apache Spark., • Hands-on experience with AWS cloud infrastructure., • Track record of integrating data from external systems, APIs, and databases., • Strong problem-solving skills and ability to lead through ambiguity., • Excellent communication and documentation habits., • Masters in Computer Science, Engineering, Physics or related field., • Experience building data solutions in Fintech, Sales Tech, or Marketing Tech domains., • Familiarity with CRM platforms (e.g., Salesforce, HubSpot) and CRM data models., • Experience using ETL tools such as Fivetran or Airbyte., • Understanding of data governance, security, and compliance best practices., • A fast-paced, collaborative startup culture with high visibility., • Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action., • Opportunity to make a meaningful impact in building a company and culture., • Equity in a financial technology startup., • Generous health, dental, and vision coverage for employees and family members + 401K., • Eleven paid holidays and unlimited discretionary vacation days., • Competitive compensation and bonus potential. Interview Process: Plum is an organization who counts on the contributions and ideas from every member of our team. Our interview process may include a phone screen, a video call and a live project. While we understand one may use AI to develop a resume, we expect you to bring your authentic self during our interviews, and we may disqualify candidates who use bots or AI to contribute to their answers. We are looking for not only skill, but also a desire to learn and thrive with Plum. Please advise us of any accommodations you may need prior to your call and we will do all we can to accomodate you. *We are not accepting outreach or resumes from external recruiters. We are only accepting qualified eligible applicants directly for consideration. Any candidates submitted from agencies or recruiters will be considered a gift.

At Medal, we’re redefining how people capture and share gameplay experiences. Every day, our platform ingests tens of thousands of hours of gameplay video—raw, unfiltered, and packed with insights. We're looking for a seasoned Data Engineer to take full ownership of our Clips/ML data infrastructure, building the next generation of scalable, real-time pipelines that power everything from user-facing discovery to machine learning research. You'll lead the architecture, operations, and performance of data systems that sit at the heart of our product, influencing everything from content indexing to model training. If you're passionate about building petabyte-scale video pipelines, love working on low-latency systems, and are excited to help define the future of real-time gaming insights, we want to hear from you. * Architect and operate petabyte-scale ingestion pipelines that ingest ~50 k hours of gameplay video every day * Design automated QA guard-rails (schema validation, anomaly detection, deduplication) * Build high-performance ETL and feature-extraction jobs to process and index hundreds of millions of clips into columnar/video-native formats * Own the end-to-end data ingestion stack (desktop & mobile recorders, upload services, CDN) * Establish real-time monitoring, lineage, and “five-nines” SLAs, driving continuous improvement across storage, compute, and network layers * Partner with research and product to curate high-signal data slices, data-health metrics, and accelerate model experimentation * Champion security, privacy, and governance: implement robust RBAC, audit trails, and compliant retention policies for sensitive gameplay footage and user inputs * Mentor and uplevel engineers (including internal Medal platform talent), fostering a culture of craftsmanship, documentation, and ruthless focus on data excellence * 5+ years of experience in data engineering, backend systems, or related roles. Experience with video data or ML infrastructure is a plus. * Deep knowledge of ETL/ELT pipelines, distributed systems, and streaming data architectures (e.g., Kafka, Spark, Flink, etc.) * Strong proficiency with Python, Scala, Go, or similar languages used in data-intensive environments * Experience with cloud infrastructure (e.g., AWS, GCP) and modern data stack tools (e.g., dbt, Airflow, Parquet, Arrow) * Track record of designing systems with extreme scale and performance requirements * Deep understanding of data QA methodologies, anomaly detection, and automated testing in production systems * Passion for mentorship and team development; able to upskill engineers and advocate for engineering excellence * A bias toward ownership, urgency, and a desire to build systems that just work, even at scale * Work on cutting-edge tech and help shape the future of gaming * Passionate team that values ownership and innovation * Competitive salary, equity options, comprehensive health insurance, 401k #LI-DH1

Seeking Senior Informatica ETL Engineers who are Data Architects and Engineers who can lead enterprise data projects as well as: • Be the experts in leading projects and teams in the Data space, using traditional, new, and emerging technologies., • Design and develop data warehouse solutions using Informatica, and Azure., • Collaborate with stakeholders to understand data requirements and translate them into technical specifications.., • Implement ETL processes for data extraction, transformation, and loading utilizing Informatica., • Utilize Python for data manipulation, data processing, file management and automation., • Work on vaticinate and smash projects to enhance data warehouse performance., • Manage data storage solutions on Server, AWS, or other cloud platforms., • Extensive experience optimizing data processing utilizing Apache Spark and Linked data., • Provide technical guidance to the team on data architecture best practices. Skills Required/Preferred Years Candidate Experience Must have 14 yrs+ of experience in the IT Industry. Required 14 Must have 8+ years of experience working for US companies in the US. Required 8 Must have 5+ years of ‘Recent’ (since 2015) experience working in a Major Banking or Brokerage house environment. Required 5 Must have 8+ years of experience as a Data Architect / Engineer. Required 8 Must have 6+ years of experience with Informatica, and Azure. Required 6 Must have 6+ years of experience designing and implementing ETL via Informatica process using SQL, ETL tool to deliver high quality solutions. Required 6 Must have 7+ years of programming experience with Python for data manipulation, data processing, file management and automation. Required 7 Must have 4+ years of experience with the cloud platform AWS. Required 4 Strong data analysis, advance SQL query writing skill and resolving the defects by working across multiple teams Experience with data modeling, schema design, and database concepts. Excellent problem-solving skills and attention to detail. Ability to work independently and collaboratively in a team environment. Strong communication skills with the ability to explain complex technical concepts clearly. Benefit Package includes: * Paid Sick Time * Insurance for Medical, Dental, Vision and Life Available * 401(k) including Employer Match * HSA, Short-term & Long-term Disability Available * We are an EEO/Veterans/Disabled employer

Firm Summary: Winged Keel Group is an independent life insurance brokerage firm that creates and implements tax-efficient, multi-generational wealth accumulation and wealth transfer strategies for ultra-high net worth families. With offices in New York, San Francisco, Boston, Richmond, Washington, D.C., Houston, Atlanta, and Denver, the firm specializes in the structuring and administration of large blocks of Traditional Life Insurance and large portfolios of Private Placement Variable Life Insurance and Annuities. Position Summary: This position serves as an instrumental resource to support the company’s growth initiatives, including acquisition opportunities and enhancing technology and data strategy for the benefit of new and existing clients and partners. The Salesforce Data and Integration Architect will be involved in the designing, development, testing, implementation, and user support of Salesforce data management, data migration, and integrations. This is an excellent opportunity to be part of a dynamic, growing organization. Position Responsibilities: • Develop and execute comprehensive integration strategies aligned with business objectives and technical requirements, • Gather, evaluate, and document requirements for data migration during merger and acquisition (M&A) process as well as data integration with new applications, • Design and manage integrations between Salesforce and external systems using APIs, middleware solutions (MuleSoft, Dell Boomi, Microsoft SSIS, etc) and other integration tools to enable data exchange between Salesforce and external systems, • Define and implement data mapping rules and transformations to ensure accurate and consistent data flow, • Ensure data accuracy and integrity within Salesforce through regular audits (including data cleaning) and optimization of data fields and object, • Create scalable and reusable dashboards and reports with a focus on user-friendly design and functionality, • Prepare flowcharts, diagrams, detailed documentation, and other written materials, • Assist in Salesforce administrative duties such as onboarding, offboarding, training, user support, and troubleshooting Ideal Candidate will Possess the Following: Required • 3+ years of experience in Salesforce administration, architecture, data modeling, and integrations, • Familiarity with data security, encryption, and compliance best practices, • Understanding of REST/SOAP APIs, Middleware (MuleSoft, Dell Boomi, Microsoft SSIS, etc), and ETL tools (Postman), • Hands-on experience with Salesforce Data Loader, SOQL, and Workbench, • Experience with Salesforce Batch Processing, and Apex triggers, • Ability to build and maintain Salesforce custom fields, objects, automated flows, dashboards, and reports, • Knowledge of VBA, SQL, Python, and Excel complex formulas, • Strong proficiency with Office 365, Microsoft Teams, and project management tools like Jira, • Demonstrated problem-solving skills with the ability to work independently collaboratively with cross-functional teams, • Effectively manage multiple projects, timelines, and priorities, • Team player spirit with an open and positive mindset (no job is too small), • Applicants must be authorized to work in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.Additional Preferred Skills, • Knowledge of cloud platforms such as AWS, Azure, or Google Cloud, • Prior Experience with insurance data services such as DTCC Insurance & Retirement Services, ACORD and SmartOffice SmartIntegrator, • Salesforce certifications such as Salesforce Data Architect, Integration Architect, or Platform Developer, • Familiarity with Salesforce Financial Services Cloud (FSC), Data Cloud and Copado, • Proficiency in data visualization tools such as Power BI and Tableau Working Conditions/Demands/Complexity:, • Required to work on a computer for a substantial part of the day, • Frequent work in the evenings and occasionally weekends, as needed to meet deadlines, • A strong fundamental skillset in the above areas from the outset. Candidate will have a unique opportunity to apply and grow these skills in a highly productive, successful, and challenging environment Compensation / Benefits:, • Attractive annual compensation package is commensurate with experience, • Eligible for annual profit-sharing bonus, • Comprehensive benefit package includes medical, dental, life, disability, 401(k), Section 125, and other voluntary benefits.

At Rain, we’re rebuilding the global financial pipes money flows through. Our infrastructure makes stablecoins usable in the real world by powering credit card transactions, cross-border payments, B2B purchases, remittances, and more. We partner with fintechs, neobanks, and institutions to help them launch solutions that are global, inclusive, and efficient. If you’re curious, bold, and excited to help shape a borderless financial system, we’d love to talk. Our Ethos Operating at the epicenter of stablecoin innovation means moving fast and thinking globally. Our team reflects the diverse, international audiences we serve. We hire people who stay agile as the tide ebbs and flows, fix what’s broken without waiting, chase trends before they peak, and remember to have fun through it all. We’re looking for Rain’s first dedicated Data Engineer—a hands-on builder who will architect the ingestion, pipelines, and infrastructure that power our data ecosystem. As Rain scales to millions of end users across payments, card programs, and blockchain rails, your systems will ensure every team has access to timely, accurate, and trustworthy data. Reporting to the CTO and partnering closely with Analytics, Operations, Product, Compliance, and BD, you will own Rain’s data pipelines end-to-end: from ingesting raw transaction and blockchain data, to orchestrating transformations, to ensuring quality, observability, and reliability. This role is foundational—you’ll be shaping the data backbone that underpins analytics, customer reporting, operational tooling, and on-chain integrations. If you love building in fast-moving environments, care deeply about data quality, and want to own core infrastructure at the heart of a modern fintech, this role is for you. * Design, build, and maintain Rain’s core data pipelines, including ingestion from payments processors, card issuers, blockchain nodes, internal services, and third-party APIs. * Own orchestration and workflow management, implementing Airflow, Dagster, or similar tools to ensure reliable, observable, and scalable data processing. * Architect and manage Rain’s data warehouse (Snowflake, BigQuery, or Redshift), driving performance, cost optimization, partitioning, and access patterns. * Develop high-quality ELT/ETL transformations to structure raw logs, transactions, ledgers, and on-chain events into clean, production-grade datasets. * Implement data quality frameworks and observability (tests, data contracts, freshness checks, lineage) to ensure every dataset is trustworthy. * Partner closely with backend engineers to instrument new events, define data contracts, and improve telemetry across Rain’s infrastructure. * Support Analytics and cross-functional teams by delivering well-modeled, well-documented tables that power dashboards, ROI analyses, customer reporting, and key business metrics. * Own data reliability at scale, leading root-cause investigations, reducing pipeline failures, and building monitoring and alerting systems. * Evaluate and integrate new tools across ingestion, enrichment, observability, and developer experience—raising the bar on performance and maintainability. * Help set the long-term technical direction for Rain’s data platform as we scale across new products, regions, and chains. * Data infrastructure builder – You thrive in early-stage environments, owning pipelines and platforms end-to-end and choosing simplicity without sacrificing reliability. * Expert data engineer – Strong Python and SQL fundamentals, with real experience building production-grade ETL/ELT. * Workflow & orchestration fluent – Hands-on experience with Airflow, Dagster, Prefect, or similar systems. * Warehouse & modeling savvy – Comfortable designing schemas, optimizing performance, and operating modern cloud warehouses (Snowflake, BigQuery, Redshift). * Quality-obsessed – You care deeply about data integrity, testing, lineage, and observability. Systems thinker – You see data as a platform; you design for reliability, scale, and future users. * Collaborator – You work well with backend engineers, analytics engineers, and cross-functional stakeholders to define requirements and deliver outcomes. * Experienced – 5–7+ years in data engineering roles, ideally within fintech, payments, B2B SaaS, or infrastructure-heavy startups. * Experience ingesting and processing payments data, transaction logs, or ledger systems. * Exposure to smart contracts, blockchain data structures, or on-chain event ingestion. * Experience building data tooling for compliance, risk, or regulated environments. * Familiarity with dbt and/or semantic modeling to support analytics layers. * Prior experience standing up data platforms from 0→1 at early-stage companies. Our team works hard, so we make sure our benefits do too. Here’s what you can expect as a Rainmaker: * Top-tier coverage: We cover 95% of Medical, Dental, and Vision premiums. * 401(k) with matching: Invest in your future, just like we’re investing in ours. * Ownership that matters: Every team member gets equity because we believe in building together. * Work your way: Flexible hybrid setup with a prime SoHo office for NYC-based teammates. * Unlimited PTO: Because time to rest and reset is just as important as time to ship. * Product-first perks: Monthly budget to test our cards and features like a real user. * Wellness support: Monthly stipend to spend on fitness, therapy, or whatever keeps you thriving. * Home office setup: One-time stipend to create a space that works for you. * Team connection: Frequent company events, team dinners, and offsites to stay connected.

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. Hebbia enables leading finance and legal firms with advanced reasoning, copiloting and retrieval capabilities - unlocking meaningful insights for meaningful use cases. The Agents team builds everything from core document understanding capabilities to co-piloting experiences for matrix and deep, multi-source research. We’ve built our own agentic frameworks powered by distributed systems built for scale. We don’t build for one-off success. We build steerable, reliable and explainable agentic systems. And we build these systems for the scale of data our customers bring to the table. Our goal is to unlock the unknowable unknown for customers all over the world. We want to build a product that becomes indisposable to our customers and as delightful as your favorite consumer product. We move fast and build first of their kind systems. Our team works in person 5 days a week at our SoHo office in NYC. What we’ve built: • A ___ powering everything from deep research capabilities to copiloting interfaces paired with distributed systems infrastructure for long running agentic tasks., • The world’s most powerful and scalable LLM inference engine - a distributed, asynchronous DAG orchestrator capable of incorporating live graph mutations, cooperating in tandem with our___, • Elastically scaling data representation and metadata generation → powering the most effective private data retrieval systems., • ___solving problems from buy side company diligence to multi billion dollar M&A. 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

About Us At Picnic, we’re reinventing the way employees experience lunch at work. By partnering with top local restaurants and batching hundreds of orders, we make it easy for companies to offer high-quality, individually packed meals, without fees or tips. Our mission is to create a seamless, affordable, and joyful lunch experience that benefits both employees and employers. Our engineering effort spans infrastructure, platforms, and product development, driving innovation and excellence. Whether optimizing systems, building tools for developers, or creating user-facing features, your work will have a direct impact on real-world problems. We are seeking Backend Engineers who are excited to contribute at all levels - whether you specialize in infrastructure, platform, or product-focused development. Check our ___ to find out more about what we’re building. What You’ll Do As a Staff Backend Engineer, you’ll design, implement, and optimize systems that power mission-critical applications. Your role will adapt to your strengths and interests, with opportunities to focus on: • Infrastructure: Build and maintain scalable, secure, and high-performance systems to ensure operational reliability., • Platform: Develop robust APIs and developer tools to improve team efficiency and scalability., • Product: Engineer backend services that support customer-facing applications and deliver seamless user experiences. Core Responsibilities: • Architect and implement scalable backend systems and APIs., • Ensure high system performance, reliability, and security., • Collaborate with product managers, designers, and other engineers to deliver end-to-end solutions., • Participate in code reviews, testing, and documentation to maintain high-quality standards., • Mentor junior engineers or take on leadership roles, depending on your seniority. What We’re Looking For We value diversity of experience and are looking for individuals passionate about solving complex problems. Basic Qualifications: • Proficiency in backend programming languages like Java, Go., • Familiarity with relational and/or NoSQL databases (e.g., PostgreSQL, MongoDB, Redis)., • Experience with cloud platforms like AWS, Google Cloud, or Azure., • Understanding of RESTful APIs, microservices, and distributed systems., • Strong debugging and problem-solving skills. Preferred Qualifications (for Senior Levels): • Experience with containerization technologies like Docker and Kubernetes., • Knowledge of CI/CD pipelines and DevOps practices., • Exposure to large-scale data processing or event-driven architectures., • Leadership experience in team projects or mentoring roles. Why Join Us? • Growing market: You’ll be focused on an $80 billion market that’s projected to reach at least $500 billion by 2030 in the US alone., • Changing the restaurant industry: You’ll be part of a team that helps restaurants succeed in online food delivery., • Collaborative environment: You will work with a talented and diverse team that values innovation and learning. You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you’ll work closely with other teams to ensure our customer’s success., • Career Growth: Opportunities for advancement across engineering tracks, from individual contributors to leadership roles., • Exciting Projects: Contribute to products and systems used by millions worldwide. What else you need to know: We believe that people do their best work when they are together. As a company, we’re in the marketplace of ideas and innovation. When you’re constantly innovating, changing how an industry works, inventing new products and processes - and we are doing all these things - we believe we’re better as a team in-person. That’s why all of our teams (except for our field-based roles) are now working from one of our office locations 5 days a week. Looking forward to sharing more about a Career of Substance.

Profound is an NYC-based AI startup helping brands measure and improve their visibility in AI platforms such as ChatGPT. We partner with some of the biggest brands and marketing agencies, including companies like MongoDB, Indeed, Mercury, DocuSign, Zapier, Ramp, Rho, Golin, Workable, Mejuri, Eight Sleep, G2, US Bank, Chime, and Clay. We recently raised a $20 million Series A led by Kleiner Perkins with participation from NVIDIA, Khosla Ventures, Saga Ventures, South Park Commons, and SV Angel, as well as angel investors including Guillermo Rauch (Vercel) and Andrew Karam (Applovin). Learn more at ___. Profound is on a mission to help companies understand and control their AI presence. As a Backend Engineer, you’ll build and optimize the infrastructure that powers our AI-driven insights. You’ll design scalable APIs, process large datasets efficiently, and ensure high-performance systems that help businesses take control of their AI presence. * Architect and develop high-performance backend systems that support AI-driven analytics. * Build and maintain scalable APIs to power real-time insights and data retrieval. * Optimize data processing pipelines to handle large-scale structured and unstructured data. * Ensure system security, performance, and reliability at every level of the stack. * Work closely with front-end engineers and data scientists to deliver seamless, high-impact features. * Own key technical decisions, balancing speed with long-term maintainability. * A strong portfolio or GitHub showcasing backend development expertise. * Proficient in Node.js, Python, or Go, with experience in scalable backend architecture. * Deep understanding of databases (PostgreSQL, MySQL, or NoSQL alternatives) and query optimization. * Experience designing efficient data pipelines and working with distributed systems. * Familiarity with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). * Strong grasp of security best practices, API authentication, and performance tuning. * Comfortable in a fast-moving, high-performance startup environment. This is an on-site role in our ___—designed for builders who thrive on speed, iteration, and impact.

At Medal, we’re redefining the way gamers connect, share, and relive their greatest in-game moments. Our platform makes it easy to clip, edit, and share gaming content—whether you're capturing a legendary headshot or just hanging with friends in voice chat. Over 2 million gamers use Medal every month to showcase their moments, and we’re just getting started. We're a fast-moving team backed by top-tier investors. Our culture is builder-first: we move quickly, make decisions with creators in mind, and aren’t afraid to challenge conventions when it improves the product. Medal’s backend powers everything from real-time in-app communications and storage of billions of user-generated clips, to our ML-based feed and social features. We’re looking for a Senior or Lead Backend Engineer to help us scale and evolve this infrastructure as we grow. In this role, you'll work closely with product, infra, and data teams to architect and build highly scalable, low-latency systems. You'll help design critical APIs, evolve our backend infrastructure, mentor other engineers, and drive technical decisions that impact millions of users. If you love building resilient systems, thinking about architecture at scale, and want to work on a product that blends gaming, content, and community—this role is for you. * Design and develop backend systems and REST APIs that serve millions of users and billions of clips * Own features end-to-end: from design and architecture through implementation and deployment * Work closely with cross-functional teams across product, ML, and mobile to build cohesive experiences * Scale our systems to support growth in users, content volume, and features * Lead engineering projects, drive architectural decisions, and mentor junior and mid-level backend engineers * Help maintain our cloud infrastructure and CI/CD pipelines * Optimize databases, APIs, and services for performance, scalability, and cost * Contribute to technical strategy, roadmap, and team-wide best practices * 5+ years of backend engineering experience, with significant time in production environments * Strong proficiency in Java and hands-on experience building scalable microservices * Deep understanding of RESTful API design and distributed systems * Experience with relational databases like MySQL or PostgreSQL (including performance tuning and schema design) * Experience building systems that handle thousands of requests per second * Comfort with cloud infrastructure (GCP or AWS preferred), CI/CD, and infrastructure as code * Strong grasp of system design, architectural patterns, and security best practices * Strong communication and leadership skills, with the ability to drive cross-team projects * Experience with Redis, RabbitMQ, or other message brokers and caching systems * Familiarity with Terraform, Docker, Kubernetes, and modern DevOps practices * Experience with observability tools and performance monitoring * Exposure to ElasticSearch, BigQuery, or other data warehouse tools * Contributions to open-source projects * A passion for games and gaming communities * Backend: Java, Redis, RabbitMQ, Kubernetes, Terraform * Cloud: Google Cloud Platform, AWS * Frontend: Electron, React, Redux * Native: C#, C++, Swift, Kotlin * CI/CD & Infra: GitHub Actions, CircleCI, Salt, Docker At Medal, you’ll have the autonomy to make an impact from Day 1. You’ll join a team that values humility, curiosity, and momentum—and you’ll help shape the future of how gamers share and connect around the moments that matter most. #LI-DH1

About Us At City Storage Systems, we're building Infrastructure for Better Food. We help restaurateurs around the world succeed in online food delivery. Our goal is to make food more affordable, higher quality and convenient for everyone. We're changing the game for restaurateurs, whether they’re entrepreneurs opening their first restaurant all the way through to your favorite global quick-service restaurant chains. Our engineering effort spans infrastructure, platforms, and product development, driving innovation and excellence. Whether optimizing systems, building tools for developers, or creating user-facing features, your work will have a direct impact on real-world problems. We are seeking Backend Engineers who are excited to contribute at all levels - whether you specialize in infrastructure, platform, or product-focused development. Check our ___ to find out more about what we’re building. What You’ll Do As a Staff Backend Engineer, you’ll design, implement, and optimize systems that power mission-critical applications. Your role will adapt to your strengths and interests, with opportunities to focus on: • Infrastructure: Build and maintain scalable, secure, and high-performance systems to ensure operational reliability., • Platform: Develop robust APIs and developer tools to improve team efficiency and scalability., • Product: Engineer backend services that support customer-facing applications and deliver seamless user experiences. Core Responsibilities: • Architect and implement scalable backend systems and APIs., • Ensure high system performance, reliability, and security., • Collaborate with product managers, designers, and other engineers to deliver end-to-end solutions., • Participate in code reviews, testing, and documentation to maintain high-quality standards., • Mentor junior engineers or take on leadership roles, depending on your seniority. What We’re Looking For We value diversity of experience and are looking for individuals passionate about solving complex problems. Basic Qualifications: • Proficiency in backend programming languages like Java, Go, or Node.js., • Familiarity with relational and/or NoSQL databases (e.g., PostgreSQL, MongoDB, Redis)., • Experience with cloud platforms like AWS, Google Cloud, or Azure., • Understanding of RESTful APIs, microservices, and distributed systems., • Strong debugging and problem-solving skills. Preferred Qualifications (for Senior Levels): • Experience with containerization technologies like Docker and Kubernetes., • Knowledge of CI/CD pipelines and DevOps practices., • Exposure to large-scale data processing or event-driven architectures., • Leadership experience in team projects or mentoring roles. Why Join Us? • Growing market: You’ll be focused on an $80 billion market that’s projected to reach at least $500 billion by 2030 in the US alone., • Changing the restaurant industry: You’ll be part of a team that helps restaurants succeed in online food delivery., • Collaborative environment: You will work with a talented and diverse team that values innovation and learning. You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you’ll work closely with other teams to ensure our customer’s success., • Career Growth: Opportunities for advancement across engineering tracks, from individual contributors to leadership roles., • Exciting Projects: Contribute to products and systems used by millions worldwide. What else you need to know: We believe that people do their best work when they are together. As a company, we’re in the marketplace of ideas and innovation. When you’re constantly innovating, changing how an industry works, inventing new products and processes - and we are doing all these things - we believe we’re better as a team in-person. That’s why all of our teams (except for our field-based roles) are now working from one of our office locations 5 days a week. Looking forward to sharing more about a Career of Substance at City Storage Systems.

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at ___. About the Team The Sales Operations & GTM Analytics team empowers our Sales, Revenue Operations, Marketing, and Finance organizations with the data, insights, and frameworks required to accelerate growth. We build the analytical foundation that informs strategy, optimizes execution, and ensures every customer-facing motion is guided by accurate, timely, and actionable intelligence. About the Role As a Senior Data Scientist, Sales Operations, you will play a pivotal role in shaping our commercial strategy and enabling data-driven decision making across the GTM organization. You will architect the data foundations for Sales, build advanced analytical and machine-learning models, and translate complex datasets into clear, strategic insights. Your work will directly guide forecasting, planning, segmentation, quota design, and GTM investments. You’ll collaborate closely with cross-functional leaders and influence decisions at the highest levels. • Partner with Sales, Revenue Operations, Marketing, and Finance to define the data foundation for GTM, including instrumentation, metric definitions, pipelines, dashboards, and reporting., • Design, build, and maintain scalable data models and statistical/ML frameworks (e.g., segmentation, lead scoring, win/loss analysis, churn prediction, propensity modeling)., • Transform complex datasets into actionable commercial insights, identifying growth levers, bottlenecks, competitive dynamics, and customer behavior patterns — and convert them into strategic recommendations., • Lead GTM planning cycles: develop forecasting models, scenario planning, “what-if” analyses, target-setting methodologies, and playbooks., • Produce executive-level reporting and communicate insights and recommendations clearly to senior leadership and cross-functional stakeholders., • Partner with data engineering/analytics teams to ensure data integrity, governance, and readiness for advanced analytics; uphold best practices in modeling, documentation, and reproducibility., • Drive experimentation: design A/B tests, pilots, and measurement frameworks for new GTM initiatives, product launches, and sales motions., • Own the end-to-end analytics lifecycle: data collection → modeling → insight generation → strategy → execution → measurement., • Mentor junior data scientists, analytics engineers, and BI professionals; help cultivate a data-driven culture within Sales Operations., • 6–10+ years of experience in data science, sales operations analytics, business intelligence, or commercial strategy roles within SaaS, cloud, infrastructure, or high-growth technology environments., • Expertise with SQL, Python/R, large-scale datasets, statistical modeling, machine-learning methods, and data visualization tools., • Demonstrated ability to translate analytical outputs into strategic GTM recommendations and influence Sales/RevOps leadership., • Experience building forecasting models, segmentation frameworks, propensity models, or other advanced analytics used to drive revenue outcomes., • Strong understanding of GTM motions, sales funnel mechanics, segmentation and targeting, territory/quota design, pipeline generation, and churn/expansion dynamics., • Proven ability to communicate data and analysis clearly to senior leadership, using structured narratives and decision-ready insights., • Bachelor’s degree in data science, statistics, mathematics, economics, engineering, business, or related field; advanced degree (MS/PhD) preferred., • Experience with experimentation frameworks (A/B testing, causal inference, uplift modeling)., • Familiarity with modern data stacks (dbt, Snowflake, Looker, etc.)., • Background supporting high-velocity enterprise or cloud infrastructure GTM teams. We believe in investing in our people and value candidates who bring diverse experiences — even if you’re not a perfect match on every requirement. If some of the below describes you, we’d love to talk: • You love uncovering insights in messy datasets and turning them into strategic action., • You’re curious about how GTM engines work and how data can unlock revenue growth., • You’re an expert in building models that meaningfully shape business decisions. At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth you won’t want to miss. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. Our environment fosters collaboration and empowers you to develop innovative solutions to complex problems. As we prepare for takeoff, growth opportunities across the organization are rapidly expanding. You’ll be surrounded by some of the best talent in the industry — who will want to learn from you, too.Come join us! The base salary range for this role is $135,000 to $198,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption Our Workplace While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration ___- California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the ___, CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: ___. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We're SeekingQvest US is seeking an experienced Management Consultant to join our growing Digital Media Supply Chain (DMSC) practice. In this role, you will lead projects that optimize and automate the Digital Media Supply Chain ecosystem for our clients. We define Digital Media Supply Chain as the connected systems and processes from initial content capture/creation through Direct to Consumer services and sites. In many cases the Digital Media Supply Chain will have the combination of the following solution stacks: -Enterprise / MarTech - ERP, CRM, DMP, PIM/PLM, Packaging Management-Asset management - Enterprise DAM, Work In Progress DAM, MAM, Review and Approval-Metadata - MDM, Rights, Project & Campaign Management, User and Consumer Profiles-Automated Content Processing and Protection - Transcode, DRM, Fingerprinting, Watermarking, Encryption-Analytics - Data Lake, Analytics, Reporting/Visualization, Trends/Predictions, Machine Learning-Digital Publishing - CMS, eCommerce, Omni Channel, Streaming Services-Workflow Orchestration-Infrastructure and Infrastructure Services - Cloud, On Premise, and Hybrid-User Experiences - UX/Portals to meet customer needs across and integrated supply chain We are looking for an industrious technologist that can help define and implement all or portions of the DMSC ecosystem. This individual will need to both contribute directly to projects/deliverables and lead/motivate teams and digital transformation initiatives. Qvest US has focused DMSC projects on long form video (e.g. Theatrical, episodic) and enterprise marketing.What you'll do • Lead several types of business and technology consulting project teams through all core project phases, including project setup, requirements gathering, design/architecture, development, testing and deployment., • Lead the technical portion of project teams consisting of Qvest US team members and client resources. This role will require you to work with resources from Qvest's consulting and Innovation Development Center (IDC) practices., • For Digital Media Supply Chain projects, manage the full implementation lifecycle for multiple components of the Digital Media Supply Chain ecosystem., • Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations., • Maintain strong client relationships while identifying opportunities beyond your current engagement., • Proactively identify risks and issues, and provide mitigation strategies., • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancement.What you'll bring, • 5 - 8 years consulting experience with a consulting firm with system integration experience, • 5 years of work experience implementing/managing DMSC or other digital media delivery solutions including managing the full implementation lifecycle for delivery of systems solutions (analysis, design, develop, test, deploy, support), • At least 2 Digital Media Supply Chain (DMSC) implementations and at least 1 successful DMSC implementation serving as Tech Lead/Architect, • Experience in developing DMSC and Digital Media Supply architectures from both an infrastructure and software perspective, • Experience in architecting storage and network solutions to be able to support large file distribution, • History of successful upward management and communication to leadership, • Ability to collaborate with subject matter experts, cross-functional resources and business stakeholders to understand and document business requirements, • Ability to plan, prioritize and manage delivery of custom development projects based on business requirements, • Experience with localization use cases, • Knowledge with numerous file formats and codecs with a focus on video, • Must have experience with agile/SCRUM development methodologies, • Must have experience with software development life-cycle principles, • Strong analytical skills, • Bachelor's degree in engineering, information systems, computer science, business administration, or other related fields, • History of success throughout academic and business career, • Exceptional communication skillsPreferred Experience, • Exposure to Media and Entertainment Industry a plus

The Principal Integrated Cybersecurity Architect is responsible for leading the evangelization of the agreed upon cybersecurity architectural principles, standards, and design patterns, and advising engineering teams on how to build secure products and enterprise tools for multi-cloud and on-premises environments. This role is focused on being an integrated member of the product and engineering teams for the most complex and highest revenue products. A separate function defines the architecture guidelines that this role is responsible for advising the teams on how to implement. This role will be a thought leader and mentor other integrated cybersecurity architects. By having deep cybersecurity knowledge in the design and build of secure software products and tools in both multi-cloud and on-premises environments, this role will lead the implementation of cybersecurity standards and influence direct and cross-functional teams throughout the organization and collaborate cross-functionally to solve cybersecurity risks that are unique to a business unit's risk profile and products. This role will report directly to a Director of Integrated Cybersecurity Architecture at Cox Automotive. Primary Responsibilities • Communicate cybersecurity guidelines to engineering teams and business teams and support their adoption of the guidelines. Provide these teams with procedural, process and technical guidelines, insight and advice., • Drive discussion with product and engineering teams on the adoption of cybersecurity guidelines., • Work with portfolio stakeholders to align the architectural direction of the solution's intent., • Serve as the cybersecurity lead on large-scale workload and component development, engage with cross-functional leaders and stakeholders to ensure mutual understanding, ongoing communication and alignment of outcome expectations., • Be integrated with and in continuous contact with engineering teams to advise on the cybersecurity risk their architecture decisions and assist with cybersecurity control implementation., • Lead workshops to develop threat models for products and enterprise tools and assist teams in identifying solutions to mitigate against threats., • Offers security guidance for new business and technical projects to ensure compliance with corporate security standards., • Engage with cybersecurity peers to create a cohesive cybersecurity department and share back internally regarding business specific activities. Act as the on the ground cybersecurity security representative to the product and engineering teams., • Participate in security events and incident response to identify gaps in current design and propose solutions to prevent threats from reoccurring., • Educate and mentor software engineers on cybersecurity best practices and standards., • Partner with the legal and security governance, risk and compliance teams to ensure that cybersecurity architecture enables compliance with relevant regulatory and contractual requirements. Minimum Qualifications • Bachelor's degree in a related discipline and 10 years of experience in a related field. The right candidate could also have a different combination, such as a master's degree and 8 years of experience; a Ph.D. and 5 years of experience in a related field; or 14 years' experience in a related field., • At least 7 years focused on cybersecurity., • Relevant experience with designing, securing, or operating AWS infrastructure and services., • Clearly articulate the objective of specific cybersecurity policies and procedures to technical and non-technical stakeholders., • Excellent customer service skills, writing, and executive presentation skills., • Develop a strong and productive working environment with key stakeholders and collaborate closely with other Cox entities' cybersecurity teams to implement cybersecurity best practices., • Consultative nature to work through controversial or complex topics to employees, leaders, and/or senior leadership., • Evaluate risks and recommend action based on impact and likelihood of the risk to the business., • Knowledge of current cybersecurity and technology architectures such as zero trust, IaaS, PaaS, SaaS, virtualization, containerization, DevSecOps, and software-defined networking across a variety of environments and deployments., • Creatively solving complex cybersecurity challenges while exhibiting solid, pragmatic business acumen., • Experience utilizing Agile methodologies., • Initiating change and deploying solutions in Fortune 1000 companies., • Knowledge of cybersecurity frameworks (e.g., ISO 27000, NIST, FFIEC) and industry relevant regulations that will guide architectural requirements (e.g., GDPR, FFIEC, GLBA)., • Collaborate with AI agents to create, validate, and assess architectural artifacts, • Lead cross-functional teams in designing AI-enhanced solutions, establish standards for AI integration, and assess AI technologies within solution architectures., • Implement AI-driven architectural governance and compliance by defining robust AI governance frameworks and reference architectures., • Improve vendor tool assessments using AI to speed evaluations and minimize mistakes and unknowns., • Must live within a commutable distance to North Hills, NY or Atlanta, GA and be willing to come onsite 3x a week, • Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future. Preferred Qualifications • Experience in the development and design of cybersecurity standard methodologies to all layers of the hosting and application stack in both cloud and on-premises environments., • Knowledge of Identity and Access Management (IAM), cryptography / key management, secrets management, access controls and security protocols (e.g., multi-factor, SAML, OAuth, OIDC)., • Experience with application security implementations and standard methodologies., • Extensive technology knowledge and recognized expertise in several areas including Python, .NET, Java, Spring frameworks, Oracle, serverless, cloud patterns, cloud service and user authentication or similar., • Experience with firewall, web application firewalls, and other edge services as well as deep understanding of DMZ and other network architectures., • AWS Well-Architected Framework., • Experience establishing a strategy for and implementing cloud enterprise solutions in AWS, GCP, or Azure., • A strong understanding of cloud containers and/or serverless platforms (e.g., EKS, ECS, Lambda, Fargate)., • Experience in national critical infrastructure industries (telecommunications, financial services, defense, government, etc.)., • Big four consulting or Fortune 500 company experience., • Relevant industry certification (e.g., CISSP, CEH, OSCP, Azure, AWS, CISM, CISA). USD 191,300.00 - 318,800.00 Compensation: Compensation includes a base salary of $191,300.00 - $318,800.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. Benefits: The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave. Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.

Job Description Our client is an established, privately held, growing, New York-area government contractor. Our client’s focus is in providing Information Technology (IT) Services to city, state and federal government clients. We are currently seeking a skilled IT Cloud Specialist to work in a full-time onsite role on a large scale project at a client location in Manhattan, New York City / Newark, New Jersey. Reporting to the IT Project Manager, the IT Cloud Specialist is responsible for assisting in the design, implementation, management, and support of cloud computing networks utilizing Virtual Desktop Infrastructure (VDI), Azure Virtual Desktop (AVD) and Citrix technologies to ensure a smooth end-user experience, optimal performance, and strong security across the IT infrastructure. The ideal candidate will have relevant technical education / certifications, 5+ years of IT cloud computing experience and strong technical expertise in VDI, Citrix, and AVD. Experience in Construction or Building related organizations is highly desirable. Must be solution and customer-focused with effective communication skills, and demonstrated ability to meet user needs with IT cloud solutions. PRIMARY RESPONSIBILITIES INCLUDE: • Configure, implement, manage, maintain, troubleshoot and support IT cloud solutions within Microsoft Azure and Citrix Cloud., • Configure, install and update cloud software, manage user accounts and monitor networks and system performance., • Assist in designing, deploying, and managing VDI solutions such as Citrix XenDesktop / XenApp or Microsoft AVD., • Manage documentation, contribute to improvement efforts, and automate processes using scripting., • Oversee VDI image management, troubleshoot and resolve issues related to Citrix VDI and AVD, ensuring high availability and disaster recovery, monitoring performance, and collaborating with IT security teams to enforce security policies., • Work closely with Project Management, IT, Engineering and other stakeholders. Ensure that cloud solutions and systems perform properly and that all business requirements are successfully met., • Implement and support new client requirements and customizations., • Consistently engage with clients and stakeholders to maintain relationships and ensure high levels of satisfaction. CANDIDATE REQUIREMENTS INCLUDE: • Bachelor’s Degree in Computer Science, Information Technology, or closely related field. Relevant IT cloud certifications such as Microsoft Azure, AWS Cloud, Google Cloud, CompTIA Cloud+ or Certified Cloud Security Professional (CCSP). Other VDI-related certifications such as VMware VCP-DTM, Citrix CCA-V/CCP-V, or Microsoft AZ-140 a plus., • 5+ years of experience implementing, managing and supporting large scale IT Cloud networks and platforms., • Prior experience in Construction or Building-related organizations is highly desirable., • Experience managing VDI, including Citrix and/or Microsoft AVD. Hands-on experience with Citrix Virtual Apps and Desktops, Citrix ADC, and Citrix Cloud services. Proficiency in Windows Server administration, Active Directory, and networking concepts required. Proficient knowledge of the VDI stack and experience with scripting languages like PowerShell. Familiarity with monitoring tools for Citrix environments (Citrix Director)., • Experience with other virtualization technologies (VMware, Hyper-V), and knowledge of security best practices for virtualization and remote access., • Ability to work in a fast-paced environment and manage multiple tasks simultaneously., • Experience with Project Management principles and practices such as ITIL, Scrum, LEAN, Agile, or DevOps., • Effective problem-solving and relationship-management skills. Prior experience collaborating closely with users, clients, stakeholders and technology suppliers to resolve technical issues., • Excellent verbal, written and interpersonal communication skills with users, clients, team members, technical staff, and management. Able to interface, communicate and maintain effective relationships with team members and all levels of management on an ongoing basis and work as a trusted IT professional., • Proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) for use in communication, analysis & tracking., • Key Competencies: Collaborative Work Style, Customer Service Focused, Problem-Solver, Professional, Resourceful, Results-Focused, Solutions Focused, Self-Motivated, Team-Player., • Must be able to pass a required background check and/or security clearance to work on government projects. TEAM RESPONSIBILITY: Serve as a key member of the client's IT team. Collaborate with internal team members, users, clients and vendor partners. Mentor team members. KEY RELATIONSHIPS / STAKEHOLDERS: • IT Project Manager, • Internal Team Members, Users, Clients and SME's, • Client and Technology Partners RELOCATION ELIGIBILITY: No relocation assistance provided. Local, qualified New York City metro area candidates will be given preference and priority. Qualified candidates willing to self-relocate to the New York City metro area will also be considered. COMPENSATION & BENEFITS INFORMATION: • Base Salary Range: $120,000 - $150,000, commensurate with experience and qualifications, • Benefits Include: Health & Dental Insurance, Paid Time Off, 401-K with match, FSA, Company Paid Training, etc. POSSIBLE COMPARABLE TITLES: • IT Cloud Engineer, • IT Cloud Architect, • IT Cloud Administrator, • IT Cloud Consultant, • DevOps EngineerCompany DescriptionTalent Solution Partners is a full-service Talent Acquisition and Solutions Firm. Our primary focus is the placement of senior-level professionals and executives for clients in Healthcare, Consumer Products, Business-to-Business Services and related industries. Visit us at: Solution Partners is a full-service Talent Acquisition and Solutions Firm. Our primary focus is the placement of senior-level professionals and executives for clients in Healthcare, Consumer Products, Business-to-Business Services and related industries.\r\n\r\nVisit us at: