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

In this hybrid role, you will lead and coordinate medium to large-scale IT initiatives that support the ongoing transformation and expansion of our Manhattan campuses. This role requires a strong technical foundation and the ability to manage complex, cross-functional IT projects in a fast-paced healthcare environment. The ideal candidate will have progressed from a hands-on technical role (such as desktop or technical support) into project management and understands how to effectively coordinate across multiple IT disciplines. Key Responsibilities: • Lead IT projects from initiation through completion, ensuring delivery within scope, timeline, and budget., • Coordinate across multiple IT teams including structured cabling, construction, desktop support, networking, AV, and related infrastructure groups., • Identify when to engage appropriate technical teams and ensure seamless collaboration across stakeholders., • Partner with construction and facilities teams to support campus transformation initiatives., • Develop and manage detailed project plans, timelines, and resource allocations., • Own project budgeting, including cost estimation, tracking, forecasting, and reporting., • Facilitate large stakeholder meetings, including agenda creation, leading discussions, and documenting outcomes, risks, and action items., • Maintain thorough project documentation, including status reports, meeting minutes, and project artifacts., • Act as a liaison between IT teams and clinical staff, ensuring technology solutions align with operational and patient care needs., • Bachelor's degree in Information Technology, Computer Science, or a related field; PMP or equivalent certification preferred., • Proven experience managing medium to large-scale IT projects in complex enterprise environments., • Strong technical backgroun, with prior hands-on experience in desktop support, technical support, or similar IT roles., • Solid understanding of IT infrastructure including networking, structured cabling, AV systems, and end-user computing., • Experience with budgeting, financial tracking, and project cost management., • Proficiency in Power BI for reporting and data visualization., • Advanced skills in Microsoft Office Suite, particularly PowerPoint and Excel., • Hands-on experience with SCCM (System Center Configuration Manager)., • Excellent communication and interpersonal skills, with the ability to work effectively with both technical teams and clinical stakeholders., • Strong organizational skills with attention to detail and ability to manage multiple priorities., • Experience working in a hybrid work environment., • Experience working in a healthcare or hospital IT environment., • Medical, dental & vision, • Critical Illness, Accident, and Hospital, • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available, • Life Insurance (Voluntary Life & AD&D for the employee and dependents), • Short and long-term disability, • Health Spending Account (HSA), • Transportation benefits, • Employee Assistance Program We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

Epic Sr MyChart Analyst The Epic MyChart Analyst IV acts as the senior technical authority for Epic MyChart ecosystem. They are responsible for setting technical standards, driving innovation, and solving the most complex challenges related to the digital patient experience. This role defines the architectural vision for MyChart, ensuring it remains scalable, secure, and aligned with long term enterprise goals. The Lead Analyst mentors other Analysts on MyChart and serves as the ultimate escalation point for technical issues, and acts as the primary technical liaison between the application team, enterprise architects, and business leaders. Remote-friendly with flexible in-office options nationally. Responsibilities: • Define and govern the technical architecture and standards for the Epic MyChart application, • Lead research and development of emerging patient engagement technologies and champion opportunities to innovate and automate, • Mentor analysts on the team establishing best practices and serving as a role model for professional development, • Act as the final technical escalation point for the most complex MyChart issues and integrations, • Provide input into the application direction of the patient digital experience, aligning MyChart capabilities with business strategy, • Lead the technical design and strategy for integrating MyChart with enterprise systems and third-party platforms using APIs and other technologies, • Establish and hold others accountable for adhering to Epic's foundation system principles and standards, • Looks ahead owning the innovation pipeline, and advising connecting their work to business outcomes Qualifications: Required: • 6+ years of experience in Epic experience, • 5+ MyChart application experience with measurable improvements in patient engagement, • Advanced knowledge of patient engagement platforms HL7, and API integrations, • Proven experience setting technical standards, • Proven ability to influence stakeholders to innovate technology to forward our brand, • Ability to communicate complex technical concepts, • Deep expertise in mobile applications strategy and user experience, • Deep understanding of patient privacy, data security and regulatory standards (HIPAA), • Cross certification in other Epic modules Preferred:, • College degree in computer science, information science or equivalent work experience (Required), • MyChart Certification (Required), • Additional relevant Epic Certification (eg Ambulatory, Cadence, Prelude) (Required), • Project management or process improvement certifications eg Six Sigma, Agile (Required) Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at ___ . We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.

Locations : Boston | Chicago | Pittsburgh | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach | Washington Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do About the AISI Fellowship The Boston Consulting Group's AI Science Institute (AISI) is launching a postdoctoral fellowship program designed to empower the next generation of applied science leaders. This elite, industry-adjacent program offers PhDs and early-career scientists the opportunity to work on some of the world's most complex and high-impact scientific problems using cutting-edge AI, in collaboration with top-tier partners across aerospace, healthcare, energy, and materials science. Fellows will operate at the intersection of foundational research, real-world deployment, and strategic impact, helping shape breakthrough workstreams with AISI partners. Unlike traditional academic or big-tech postdocs, AISI fellows work on problems where the science, the data, and the deployment context are all partially undefined. Fellows are expected not only to advance models or methods, but to shape problem formulation, data strategy, and downstream impact alongside senior scientists, engineers, and industry leaders. What You'll Bring * Lead or contribute to multi-disciplinary research initiatives that apply machine learning, simulation, optimization, or GenAI to real-world scientific domains. * Collaborate with BCG X teams and external stakeholders, including scientists, engineers, business leaders, to frame and solve complex technical problems. * Author internal and external research outputs, with opportunities to publish in top journals or co-develop IP with partners. * Design reproducible, scalable workflows that translate state-of-the-art models into practical tools for discovery and experimentation. * Serve as a scientific ambassador across AISI projects, bringing rigor, creativity, and a passion for impact. * Engage directly, as appropriate, with client or partner R&D teams to translate research insights into deployable solutions, with support from senior BCG X leaders. * Contribute to AISI priority research themes, which may include (illustrative, non-exhaustive): * AI-accelerated materials discovery and optimization * Scientific foundation models (biology, chemistry, climate, or physical systems) * Simulation-augmented learning (e.g., physics-informed ML, RL + simulators) * Compute-enabling technologies (chip design, process optimization, algorithm-hardware co-design) * Quantum algorithms and hybrid classical-quantum workflows Who You'll Work With Program Details * Duration: 24 months, with possibility of transition into full-time role at BCG X. * Mentorship: Each fellow will be paired with a senior advisor and a technical/scientific lead from BCG X and a partner institution. * Resources: Full access to BCG's infrastructure, compute resources, research datasets, and partner ecosystems. * Compensation: Competitive salary aligned with industry postdoc benchmarks, plus support for publishing, conference travel, and IP generation. Fellows are encouraged to publish in top-tier venues unless constrained by client confidentiality or strategic IP considerations; in such cases, alternative external-facing research outputs (e.g., methods papers, open-source tools, or delayed publications) will be supported. What Success Looks Like By Month 6 * Leading or co-leading a defined AISI research workstream * Delivering models, methods, or code integrated into an active project * Establishing a clear publication and/or IP trajectory identified By Month 12 * Producing at least one external-facing research output, such as a paper, preprint, workshop, or open-source contribution. * Being recognized internally as a go-to contributor in a priority scientific domain. * Actively collaborating with at least one external partner or client R&D team. By Month 24 * Delivering multiple high-quality research outputs and/or patented IP. * Establishing a clear path to a permanent role at BCG X or strong placement into a top-tier industry or research position. Additional info Why Join AISI? * Work on projects that matter from geospatial intelligence to drug discovery to next-gen material discovery. * Collaborate with leading researchers, product builders, and Fortune 500 clients shaping the frontier of AI-assisted scientific discovery. * Design and explore high-upside ideas that align with your research vision and AISI's strategic priorities. * Help build the foundational talent model for AISI as it scales into a global scientific innovation engine. What This Fellowship Is Not * A traditional academic postdoc with a single PI and a narrowly defined research agenda. * A consulting role focused on slide production or short-term delivery. * A pure ML engineering role detached from scientific problem-solving. How to Apply * Submit your Resume/CV and a 1-2 page statement of interest combined in one pdf (research background, domains of interest, and why AISI) * Share any relevant links to publications, code, or personal projects You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites. FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. The first-year base compensation for this role is $158,400. At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. * That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: * Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children * Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs * Dental coverage, including up to $5,000 in orthodontia benefits * Vision insurance with coverage for both glasses and contact lenses annually * Reimbursement for gym memberships and other fitness activities * Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan * Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement * Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) * Paid sick time on an as needed basis *Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here () for more information on E-Verify.

The New York Genome Center (NYGC) is seeking exceptional, highly motivated Genomic AI Fellows to join a high-impact initiative transforming the diagnosis, prevention, and treatment of human disease through predictive genomic AI. This program aims to bridge the gap between large-scale genomic data and transformative clinical impact. The fellowship will provide early-career scientists with the resources and environment to develop next-generation Foundation Models (FMs) for the human genome. While DNA sequencing is now a clinical staple, the noncoding "dark matter" of the genome remains largely undeciphered. AI will play a key role in unlocking the sequence-to-function code. As a Genomic AI Fellow, you will collaborate with data generators, computational experts, and geneticists. You will leverage NYGC's massive, proprietary datasets, including single-cell multiomics and large-scale genetic perturbation datasets, to build models that predict how genetic variation influences cellular behavior and, ultimately, human health. Genomic AI Fellows are encouraged to explore the frontier of genomic modeling, with access to high-resolution data and high-performance computing to address challenges such as: * Mapping the Regulatory Landscape: Moving beyond bulk-omics to predict cell-type-specific molecular phenotypes directly from DNA sequence. * Decoding Distal Regulation: Developing novel architectures that can accurately connect distant regulatory elements to transcriptomic output, capitalizing on genetic perturbations. * Predicting Clinical Trajectories: Utilizing whole-genome sequencing (WGS) from tens of thousands of cases-including Autism, Schizophrenia, Alzheimer's, and ALS-to predict disease risk and susceptibility via intermediate molecular effects. We are seeking "high-risk, high-reward" thinkers who thrive at the intersection of machine learning and biology. * Academic Background: A Ph.D. in Computer Science, Computational Biology, Genomics, or a related quantitative field * AI Sophistication: Deep expertise in modern deep learning, foundation models, and large-scale model training. * Biological Curiosity: A strong interest in (or experience with) gene regulation, epigenomics, or the genetic basis of complex disease. * Independence: A track record of leading original research and the ability to navigate complex, multi-modal datasets. This is a platform for researchers to lead high-impact projects within a collaborative ecosystem. You will be paired with world-class computational expertise and gain direct access to genomics data and "in-production" multiomics pipelines. Your work will sit at the vanguard of precision medicine, translating the multiomics revolution into actionable biological insights. This position is offered as a one-year renewable appointment, with renewal based on performance, funding availability, and program needs. The pay for this position is $118,000 per year; this includes a $100,000 base pay and a $1,500 per month taxable postdoctoral housing allowance ($18,000 per year), a full range of medical, financial, and other benefits, and generous time off. The New York Genome Center (NYGC) is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer's, Parkinson's, Huntington's), and cancer. Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with the leading academic medical centers and research universities in the New York region, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. NYGC takes affirmative action in support of its policy to hire and advance in employment individuals who are protected veterans and individuals with disabilities. FLSA Status - Exempt This position is eligible for visa sponsorship and relocation assistance

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. The General Agents team, part of Scale's Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you'll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle-from model and system design to evaluation, deployment, and iteration-bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: • Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases., • Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints., • Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings., • Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs., • Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems., • Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage., • Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level. Ideally you'd have: • 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases., • Strong engineering fundamentals, supported by a Bachelor's and/or Master's degree in Computer Science, Machine Learning, AI, or equivalent practical experience., • Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design., • Proven proficiency in Python, including writing production-quality, testable, and maintainable code., • Experience building systems that integrate models with external tools, APIs, databases, and services., • Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints., • Strong communication skills and comfort working in customer-facing or cross-functional environments. Nice-to-haves: • Hands-on experience building AI agents using modern generative AI stacks (OpenAI APIs, commercial or open-source LLMs)., • Experience with agent frameworks, orchestration layers, or workflow systems (e.g., tool calling, planners, multi-agent setups)., • Familiarity with evaluation, monitoring, and observability for LLM-powered systems in production., • Experience deploying ML systems in cloud environments and operating them at scale., • Experience fine-tuning or adapting foundation models using methods like supervised fine-tuning (SFT), reinforcement learning with verifiable rewards (RLVR), and low-rank adaptation (LoRA) to improve agent performance on domain-specific tasks. 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.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: We are seeking a highly analytical and collaborative Manager to support and grow our Analytics team. This role requires strong technical skills in data analysis along with the ability to manage projects and support cross-functional teams. The ideal candidate will have experience mentoring analysts, managing business-critical requests, and contributing to a scalable data foundation that drives decision-making. This individual will play a key role in promoting efficiency, consistency, and innovation across our Analytics team. Why you'll love working here: • Our work makes a difference. We are a highly motivated team of specialists on a mission to improve the U.S. healthcare system for over 5 million members., • We value diverse perspectives. We bring our full, authentic selves to a culture that values high performance and genuine connection., • We are scaling fast. We are a rapid-growth organization with a strong financial outlook, affording stability while paving the way for innovation and creativity at every turn. Key Responsibilities: Team Support&ProjectManagement • Help set and track priorities, ensuring delivery of key analytics projects aligned with business goals., • Support the adoptionof analyticsbest practices and tools through training sessions and knowledge sharing., • Contribute to the execution of data analytics initiatives that align with business needs., • Collaborate on the development of scalable processes for data collection, analysis, and reporting., • Identifyareas for improving efficiency through process improvements, automation, and better data practices., • Conduct data modeling and analysis to generate insights that inform business strategy and process improvements., • Translatecomplexanalytical findings into clear, actionable recommendations using visualizations and presentations., • Partner with product managers, business leaders, and clients to understand analytics needs and prioritize requests accordingly., • Proactively manage and foster stakeholder relationships by acting as a strategic, consultative advisor with a keen understanding of businessobjectives., • Ensure adherence to company compliance standards, including reporting any noncompliance., • Support the development and implementation of quality controls and departmental standards to satisfy organizational and regulatory requirements., • Participate in internal training sessions to support continued learning and development., • Responsible for adherence to the Capital Rx Code of Conduct, including reporting of noncompliance. Qualifications & Experience: • 4-6years of experience in data analytics, business intelligence, ora relatedfield., • Experience in PBM, health plans, healthcare, or Medicare., • Familiaritywith pharmacy claims data, medical claims data, and client reporting metrics., • Expertisein SQL, Python, or R for data analysis, with strong coding hygiene and documentation practices., • Ability to perform complex analyses and synthesize findings into business insights., • Track recordof partnering closely with internal and external stakeholders to provide consultative analytics support, proactively advising on business opportunities., • Workingknowledge of data engineering fundamentals and working with cloud-based data warehouses (e.g., Snowflake,BigQuery, Redshift)., • Proven ability to prioritize and manage multiple projects in a fast-paced environment., • Excellent communication and stakeholder management skills, with the ability to present complex data insights to executives. Preferred Qualifications: • Experience working in large-scale, high-growth organizations., • Knowledge of machine learning or advanced statistical modeling techniques., • Familiarity with Agile project management methodologies., • Master's degree inComputer Science, Actuarial Science, Statistics, Economics,ora related field. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As MLRE on the Data Foundation team, you'll work on cutting edge research to define the data flywheel that makes the whole machine move. This includes research around synthetic environments from task definitions, building agents for trace analysis, and contributing to a cutting edge framework that automatically hill-climbs agent-building from an eval set. This will involve creating best-in-class Agents that achieve state of the art results through a combination of post-training + agent-building algorithms. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you! You will: • Build synthetic data pipelines to generate enterprise environments to use for RL post-training, • Create agents to convert traces from production into actionable insights to use to improve agents, • Contribute to our agent building product which can construct other agents using coding agents + proprietary algorithms, • 3+ years of building with LLMs in a production environment, • Clear experiences with constructing high quality data to use to improve an LLM/Agent, • Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years 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.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you'll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: • Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems, • Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more, • Have experience gathering business requirements and translating them into technical solutions, • Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs, • Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases., • A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client's business goals, • Strong engineering background: a Bachelor's degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background., • Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results, • Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment, • Strong knowledge of software engineering best practices, • Have built applications taking advantage of Generative AI in real, production use cases 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.

Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities. In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models. You will: • Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities., • Design and experiment new approaches to preference optimization., • Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness., • Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field., • Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning., • Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning., • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals 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.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research and resources that serve all of our enterprise clients. As an ML Sys Research Engineer, you'll work on building out the algorithms for our next-gen Agent RL training platform, support large scale training, and research and integrate state-of-the-art technologies to optimize our ML system. Your customer will be other MLREs and AAIs on the Enterprise AI team who are taking the training algorithms and applying them to client use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: • Build, profile and optimize our training and inference framework., • Post-train state of the art models, developed both internally and from the community, to define stable post-training recipes for our enterprise engagements., • Collaborate with ML teams to accelerate their research and development, and enable them to develop the next generation of models and data curation.., • At least 1-3 years of LLM training in a production environment, • Passionate about system optimization, • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc., • Ability to demonstrate know-how on how to operate the architecture of the modern GPU cluster, • Experience with multi-node LLM training and inference, • Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc., • Strong written and verbal communication skills to operate in a cross functional team environment. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

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

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

The Lead Analytics Engineer (L3) is responsible for driving analytics engineering initiatives and delivering high-quality data models that enable data-driven decision making across the organization. This role requires deep technical expertise in analytics engineering, strong independent execution capabilities, and exceptional cross-functional collaboration skills. The Lead Analytics Engineer will report to the Senior Manager of Analytics Engineering and serve as a key technical contributor and partner to business stakeholders, data analysts, and engineering teams. • Designing, developing, and maintaining scalable data models and transformations using dbt and SQL to support analytics and reporting needs., • Independently owning end-to-end analytics projects from requirements gathering through deployment and documentation., • Partnering closely with business stakeholders, data analysts, and product teams to understand analytical requirements and translate them into robust data solutions., • Building and optimizing semantic layers, metrics frameworks, and reusable data models that serve as the foundation for self-service analytics., • Establishing and enforcing analytics engineering best practices including testing, version control, code reviews, and documentation standards., • Collaborating with data engineers to ensure efficient data pipeline integration and with BI teams to enable effective reporting and visualization., • Proactively identifying data quality issues, implementing data tests, and monitoring model performance to ensure reliability., • Communicating technical concepts effectively to both technical and non-technical audiences, including presenting solutions and trade-offs to stakeholders., • Contributing to the analytics engineering roadmap by identifying opportunities for process improvements and technical innovations., • Mentoring junior analytics engineers and analysts on SQL, dbt, and analytics engineering principles., • Bachelor's degree in a quantitative field (Computer Science, Statistics, Mathematics, Data Analytics) or equivalent experience., • 5+ years of experience in analytics engineering, data analytics, or related roles with increasing technical responsibility., • Expert-level SQL skills with deep understanding of data modeling, dimensional modeling, and database optimization techniques., • Strong hands-on experience with dbt including macros, packages, testing frameworks, and deployment workflows., • Proven ability to work independently, manage multiple priorities, and deliver high-quality results with minimal supervision., • Exceptional cross-functional collaboration skills with demonstrated success partnering with business stakeholders to solve complex problems., • Strong communication skills with the ability to translate business requirements into technical specifications and explain technical solutions to diverse audiences., • Experience with data warehousing platforms (Snowflake, BigQuery, Redshift) and version control systems (Git)., • Understanding of data pipeline concepts, orchestration tools, and the broader data ecosystem., • Self-motivated learner with a track record of staying current with analytics engineering best practices and emerging technologies., • Ability to balance technical excellence with business impact, making pragmatic trade-offs when necessary. Proven ability to work collaboratively with cross-functional teams and translate business requirements into technical solutions. Chobani is a food maker with a mission of making high-quality and nutritious food accessible to more people, while elevating our communities and making the world a healthier place. In short: making good food for all. In support of this mission, Chobani is a purpose-driven, people-first, food-and-wellness-focused company, and has been since its founding in 2005 byHamdi Ulukaya, an immigrant to the U.S. The Company manufactures yogurt, oat milk, and creamers - Chobani yogurt is America's No.1 yogurt brand, made with natural ingredients without artificial preservatives. Following the 2023 acquisition of La Colombe, a leading coffee roaster with a shared commitment to quality, craftmanship and impact, the Company began selling cold-pressed espresso and lattes on tap at cafes nationwide, as well as Ready to Drink (RTD) coffee beverages at retail. In 2025, Chobani acquired Daily Harvest, a modern brand offering consumers nutritious, delicious and convenient ready-to-make meals. Chobani uses food as a force for good in the world - putting humanity first in everything it does. The company's philanthropic efforts prioritize giving back to its communities and beyond. Chobani manufactures its products inNew York,Idaho,MichiganandAustralia, and its products are available throughoutNorth Americaand distributed inAustraliaand other select markets. For more information, please visit___ or follow us on Facebook, Twitter, Instagram and LinkedIn. Chobani is an equal opportunity employer. Chobani will not discriminate against any applicant for employment on any basis including, but not limited to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, military and/or veteran status, marital status, predisposing genetic characteristics and genetic information, or any other classification protected by federal, state, and local laws. The salary range for this full-time position is $105,500.00 - $196,500.00, + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Chobani provides a comprehensive benefits package, including medical, dental, vision coverage, disability insurance, health savings account, flexible spending accounts, and tuition reimbursement. To help save for the future, all employees are eligible for a 401k match of 100% on up to 5% of eligible pay. To support growing families, we provide fertility and childcare assistance, and 12 weeks of parental leave at full pay after six months of continuous employment. In addition, we provide wellness resources which include an employee assistance program, fitness discounts, a wellness reimbursement, on-site gym access (certain locations) and a monthly wellness newsletter to connect you with resources and timely information. We offer various types of paid time of including: 120 hours of paid time off, 11 holidays, and paid volunteer time off.

At HelloFresh, we want to change the way people eat forever by offering our customers high-quality food and recipes for different meal occasions. Over the past 10 years, we've seen this mission spread around the world and beyond our wildest dreams. Now, we are a global food solutions group and the world's leading meal kit company, active in 18 countries across 3 continents. So, how did we do it? Our weekly boxes full of exciting recipes and fresh ingredients have blossomed into a community of customers looking for delicious, healthy, and sustainable options. The HelloFresh Group now includes our core brand, HelloFresh, as well as: Green Chef, EveryPlate, Chefs Plate, Factor_, and Youfoodz. We’re hiring a Manager, Pricing and Discount Strategy to own and execute our strategic vision for price and discount strategy, as part of our global team. In this role, you will be responsible for optimizing pricing and discount strategies for HelloFresh Core and adjacent brands, with the goal of maximizing profitability while staying competitive. This position offers a unique opportunity to influence and drive HelloFresh's growth by owning and shaping pricing and discount strategy for a set of brand(s): developing strategic roadmaps, generating and testing hypotheses, and collaborating with cross-functional teams to assess financial impacts and make data-driven decisions. The insights you provide will be critical in ensuring that we deliver a world-class experience for our customers and will help drive profitable, long-term growth for the business. You will … • Help execute, actualize, and continuously optimize discount strategy across our global brand portfolio, with a strong focus on North America brands, • Own price & discount strategy for a set of brand(s) for which you will serve as the main POC, maintaining a pipeline of price and discount optimization opportunities, innovative incentive opportunities & desired learnings. Leverage data and own analysis to define strategic pricing and discount opportunities, • Oversee end-to-end AB testing process: set-up with channel owner, test monitoring, test analysis. Maintain documentation on business impact & message to appropriate stakeholders, • Tell the story behind numbers to effectively communicate the implication of risks & opportunities and their impact on the business, • Collaborate with Growth Marketing, CRM, Product, and Analytics on pricing and discount related initiatives to drive short and long term customer profitability, • Maintain source of truth documentation on live pricing & discounts, • Bachelor’s degree required, Master’s degree preferred in marketing, business or STEM-related fields (e.g. mathematics, engineering, computer science, economics, statistics, etc.), • 4-6 years of professional experience in pricing strategy, consulting, analytics, or a subscription-based business model, • Extensive experience devising and measuring the effectiveness of pricing strategies (including AB testing), with a proven track record from other data-rich business environments, • Strong analytical skills and advanced command of Excel, Tableau etc. SQL is a plus, • Analytical experience working with digital business models and collaborating with marketing departments, • Outstanding written and verbal communication skills with a proven ability to lead effective meetings and presentations with senior management, • Prior experience with project management with the ability to lead multiple workstreams, • A business background with a strong understanding of customer experience frameworks, • Experience individually driving projects, • A pragmatic, hands-on mentality to drive towards impact You’ll get… • Competitive salary, 401k with company match that vests immediately upon participation, • Generous PTO, including sabbatical, and parental leave of up to 16 weeks, • Comprehensive health and wellness benefits with options at $0 monthly, effective first day of employment, • Tuition reimbursement for continuing education (upon 2 years of service), • Up to 85% discount on subscriptions to HelloFresh meal plans (HelloFresh, Green Chef, Everyplate, and Factor_), • Access to Employee Resource Groups that are open to all employees, including those pertaining to BIPOC, women, veterans, parents, and LGBTQ+ At HelloFresh, we embrace diversity and inclusion. We are an equal-opportunity employer and do not discriminate on the basis of an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. As part of the Company’s commitment to equal employment opportunity, we provide reasonable accommodations, up to the point of undue hardship, to candidates at any stage, including to individuals with disabilities. We want to adapt our processes and create a safe space that welcomes everyone so please let us know how we can accommodate our process. In case you have any accessibility requirements you can share that with us in the application form. To learn more about what it's like working inside HelloFresh, follow us on ___ and ___. HelloFresh is committed to the principles of equal employment opportunity and providing reasonable accommodations to candidates with disabilities. If you need an accommodation during the application process, please reach out to us at: • Europe: ___, • APAC: ___, • United States: ___, • Canada: ___

Job DescriptionGet to Know Rivia Mind At Rivia Mind, we believe great mental health care begins with a human connection. Where We Are: We are a psychiatrist-owned mental health practice rooted in New York City, serving individuals across New York, New Jersey, Connecticut, Florida, and Massachusetts through both virtual and hybrid appointments. How We Support: With a 360°ree; view of each individual, we provide compassionate, science-based care that honors the full complexity of a person's biology, psychology, and life circumstances. We go beyond symptom management with an interdisciplinary care model grounded in collaboration, personalization, and delivered with warmth, respect, and clinical integrity. We bring a high-touch, human-centered approach to every aspect of care, from clinical treatment to operational coordination. Click Here to learn more about our services. Thrive Together: 🌟 Our shared North Star unites us to provide the best patient experience. At Rivia Mind, we cultivate a collegial culture rooted in: • A foundation of shared values and reciprocal support, • A mindset of curiosity, learning, and growth Job Summary The Nurse Practitioner provides clinical Psychotherapy and Psychopharmacology services to patients through a primarily tele-health environment. Supported by collaborating Psychiatrists, Therapists, and Operational teams who assist you with clinical excellence and administrative tasks. Our practice leverages clinical experience and a diverse knowledge base to provide quality care and reliable service. This individual will utilize their expertise in Psychotherapy modalities (i.e. CBT, MI, DBT, etc.) and Medication Management to provide access to reliable, quality care in the communities we serve. As an employee at Rivia Mind, you will collaborate within a dynamic interdisciplinary team to foster continued learning and growth. All employees at Rivia Mind benefit from working in a diverse group with internal education opportunities and frequent collaboration. • Participate in Rivia Mind supervision groups, trainings, and attend department and organization meetings, such as:, • Weekly Group Supervision, • Case and peer discussion, knowledge sharing, guidance, etc., • Frequent 1:1 Supervisor/Supervisee meetings, • Weekly Education Meeting, • Case presentations, guest speakers, training, etc., • Orientation/Onboarding Training Meetings and Reviews, • Psychiatrist-Led Office Hours (optional), • Specialty Supervision Groups (if enrolled) Responsibilities • Provide excellent quality clinical care on a consistent basis that exemplifies Rivia Mind's culture, values, and guiding principles, • Service and maintain a weekly average standard of 50 patient sessions (25 or 45-minute sessions), • Maintain a consistent weekly patient care schedule in alignment with Rivia Mind's standard productivity expectations., • Follow Care Model practices that emphasize continuity of care, high-frequency follow-up appointments, and effective calendar management., • Conduct comprehensive intake evaluations and develop curated patient-centered treatment plans, • Provide appropriate Psychotherapy practices that leverage various modalities (CBT, DBT, motivational interviewing, etc.) with proper Psychopharmacology prescribing practices, • Appropriately prescribe medication prescriptions & refills, considering the best judgment of the patient's well-being, • Provide clinical support & counseling to diverse patient populations in a telehealth environment, • Coach patients on how to manage ongoing health conditions and provide therapy to help patients make positive behavior changes, • Counsel and provide crisis intervention for patients, including assessment and treatment of emotional and behavioral problems, • Comply with clinical standards and adhere to timely and thorough session note documentation, • Promote a friendly work culture that encourages a fun, collaborative, and co-learning environment that benefits individuals' well-being, self-improvement and potential Required Education Level: Master's Degree or higher Education Details: Master's in Nursing Licensure/Certification Requirements • Must have New York (NY) State Licensure for the following:, • Valid Certified Registered Nurse Practitioner (CRNP) / Advanced Practice Registered Nurse (APRN), • Valid Registered Nurse (RN) License, • Active DEA License in good standing, • At least one(1) year of post-licensure experience with solid competence in practicing Psychotherapy (CBT, MI, DBT, etc.), • Experience working with Patients in an Outpatient setting, • Telehealth/telemedicine experience, • Proficient with utilizing diverse technology platforms and systems (Google Suite, company-wide platforms/software and EHR platforms when applicable) Benefits That Support You, Personally and Professionally At Rivia Mind, we know that providing exceptional care starts with caring for our team. That's why we offer a comprehensive, thoughtfully designed benefits package that supports your health, financial wellness, growth, and overall well-being—so you can thrive in work and life. Learn more here. • 3 weeks of front-loaded PTO + 9 paid holidays, • Annual office closure (Dec 25–Jan 1), • Annual Impact Days for volunteering or professional development, • 401(k) with employer match, • Referral bonus potential, • Annual Continuing Education (CE) Stipend + Flexible Benefit Reimbursement, • Medical, dental, and vision insurance — with EAP and additional wellness programs, • Voluntary benefits, HSA, DCA, FSA (based on plan), transit & parking options Compensation & Employment Details Pay Range: $110,000 - $150,000Our compensation package includes a base salary based on compensable factors. Additionally, clinicians are eligible for quarterly bonuses of up to $2,000 (up to $8,000 annually), awarded based on defined metrics related to clinical excellence and care model performance.Pay Type: SalaryDepartment: Nurse PractitionersSupervisor: Psychiatrists, Nurse Practitioner SupervisorsSupervisees: NoneEmployment Status: Full Time Exemption Status: Exempt W-2Work Environment: Remote or Hybrid Option if desired & located in the NYC AreaWork ScheduleWe collaborate with each provider to determine a mutually beneficial and sustainable schedule. Our focus is to develop a supportive schedule that meets both the needs of our patients and the providers' preferences. Your schedule will be determined with you before starting the role. • Our operating hours are M-F: 8 am to 6 pm, but we do allow a schedule to have a start as early as 7 am, and end as late as 9 pm M-F, and between 9 am - 5 pm Saturday. All Eastern Time Zone., • Include at least four(4)+ hours within your schedule, which should be after 5 pm on a weekday or have hours on the weekend., • On-call is not required, but checking and responding to time-sensitive emails on unscheduled days is required unless on PTO. Location Eligibility: At this time, we are only able to consider applicants whose primary residence is in one of the following states within the United States of America: Connecticut, Florida, Massachusetts, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, Texas. Because this is not a solely on-site role, your primary residence must remain in one of these approved states. Please note that residing outside of these states—even temporarily—may result in employment eligibility issues, tax implications, or other regulatory concerns. If your location changes or you're based elsewhere, we encourage you to stay connected for future openings. Equal Opportunity Employer: Rivia Mind is an Equal Employment Opportunity Employer. It is the policy of Rivia Mind to provide equal employment opportunities without regard to race, color, ancestry, religion, sex, gender identity or expression, pregnancy, age, ethnic or national origin, immigration or citizenship status, hair, weight, height, disability, marital status, veteran status, sexual orientation, genetic information/GINA, political affiliation or activity, or any other protected characteristic under applicable law. It is also the policy of Rivia Mind that qualified individuals with disabilities receive equal opportunity regarding job application procedures, hiring, and all aspects of the employment process. Rivia Mind is committed to the full inclusion of all qualified individuals. Consistent with the Americans with Disabilities Act (ADA) and applicable state and local laws, it is the policy of Rivia Mind to provide reasonable accommodations when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, pre-employment testing, to otherwise participate in the selection process, to perform the essential job functions, and/or to receive other benefits and privileges of employment, please contact us directly. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Rivia Mind participates in E-Verify to confirm the identity and employment eligibility of newly hired employees. Right to Work Poster, and E-Verify Poster Applicants must be authorized to work in the United States. We are unable to sponsor work visas at this time. This is in accordance with applicable federal, state, and local laws, including Title VII of the Civil Rights Act, the Americans with Disabilities Act, the Age Discrimination in Employment Act, and the Genetic Information Nondiscrimination Act. If you need assistance or accommodation due to a disability during the application process, please contact our Talent Acquisition team at .

Job Description Lower School Associate Teacher School Year: 2026–2027 Division: Lower School Reports to: Associate Division Head, Lower School Role type: Full-time, one-year appointment (renewable for a maximum of two years) The Opportunity The Nightingale-Bamford School seeks Lower School Associate Teachers who are eager to grow as educators within a collaborative, reflective, and mission-driven community. This role is designed as an apprenticeship-style teaching experience, ideal for early-career educators who are deeply interested in child development and energized by working alongside experienced teachers to support joyful, rigorous learning. Associate Teachers are essential members of the classroom and grade-level team. In partnership with homeroom teachers, associates help design and deliver instruction, support students’ academic, social, and emotional growth, and contribute to the daily life of the Lower School. Through coaching, observation, collaboration, and hands-on practice, Associate Teachers develop the skills, habits, and professional judgment necessary for a strong foundation in teaching. Faculty at Nightingale are appointed on a one-year basis. Associates may remain in the role for up to two years, depending on performance and school needs. Your Team Associate Teachers work closely with homeroom teachers and grade-level teams in a highly collaborative environment. The Lower School faculty values shared responsibility, open communication, and reflective practice. You will be supported by division leaders and colleagues who are deeply invested in mentorship, professional growth, and the well-being of both students and adults. Who You Are You are someone who believes deeply in children and in the power of excellent teaching. You bring curiosity, humility, and a strong desire to learn into your work each day. • You likely recognize yourself in many of the following:, • You are committed to Nightingale’s mission and to the school’s ongoing work around diversity, equity, inclusion, and belonging. You understand that this work is both personal and collective, and you engage in it thoughtfully and actively., • You are energized by working with children and are attentive to their academic, social, and emotional development., • You value collaboration and seek feedback, knowing that growth as an educator comes from reflection, coaching, and practice., • You take initiative, follow through on responsibilities, and approach your work with professionalism, care, and integrity., • You are organized, adaptable, and able to manage multiple responsibilities in a fast-paced school environment., • Partner closely with homeroom teachers to create a positive, inclusive, and developmentally responsive classroom environment., • Support student learning through whole-group instruction, small-group work, and individual support., • Assist in planning, preparing, and organizing instructional materials and classroom resources., • Differentiate instruction and support a wide range of learners., • Step into a lead teaching role as needed., • Support instruction across all grade-level classes, including special subjects (e.g., computer science, music, SING, health).Student Care & Supervision, • Support students’ social and emotional growth using developmentally appropriate practices., • Assist with daily supervision, including lunch, transitions, recess, and rooftop play periods., • Foster skills such as communication, collaboration, creative thinking, ethical decision-making, and problem-solving.Collaboration & Communication, • Collaborate as a member of a grade-level teaching team to strengthen curriculum and instructional practice., • Serve as the lead associate for producing and maintaining the classroom newsletter or blog., • Participate in parent-teacher conferences and contribute to student term reports.Professional Learning & Community Engagement, • Engage fully in an apprenticeship-style professional learning model., • Attend regular meetings with Lower School faculty, division leaders, and fellow associates to reflect on practice and refine teaching skills., • Participate in weekly meetings and professional community gatherings., • Attend school events (e.g., curriculum nights, admissions events) and chaperone field trips as needed.Other Responsibilities, • Carry out additional responsibilities as assigned by the Associate Division Head in support of the Lower School program.What You’ll Bring, • A bachelor’s degree., • A minimum of two years of experience as an associate teacher in an elementary school setting or equivalent experience., • Strong written and verbal communication skills., • Demonstrated organizational skills, attention to detail, and follow-through., • The ability to problem-solve, take initiative, and prioritize effectively. In compliance with NYC’s Pay Transparency Act, this position's annual salary range is $54,000 - $60,000. When extending an offer, Nightingale considers factors such as (but not limited to) the position's scope and responsibilities, the candidate’s work experience, education/training, key skills, internal peer equity, and market and organizational considerations. HOW TO APPLY Interested candidates should apply by submitting a cover letter and resume online at . ABOUT THE NIGHTINGALE-BAMFORD SCHOOL Founded by two bold, visionary educators in 1920, The Nightingale-Bamford School’s mission is to inspire girls to go beyond barriers. Tied to this mission is a broader vision of students who are joyful learners who have the intellectual depth and courage to be critical thinkers, compassionate citizens, and agents of their own lives. Nightingale educates girls’ minds and hearts and, in so doing, infuses their lives with meaningful relationships, teaching them to value difference as a means of growth and empowering them to question the status quo with confidence, empathy, resilience, and reason. Nightingale’s commitment to social justice and anti-racism requires that all community members engage actively and thoughtfully in work around diversity, equity, and inclusion. We encourage applications from candidates with broad and diverse backgrounds. EQUAL EMPLOYMENT OPPORTUNITY It is the policy of the School to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, creed, religion, national origin, citizenship, age, sex, sexual orientation, gender identity, gender expression, pregnancy, childbirth, or related medical conditions, military status, marital status, familial status, caregiver status, predisposing genetic characteristics, actual or perceived domestic violence victim status, disability, veteran status, or any other characteristic protected by applicable law. The School’s employment practices and decisions adhere to the principles of non-discrimination and equal employment opportunity. This commitment to equal opportunity applies to and is reflected in all School activities, including, but not limited to, recruiting, interviewing, hiring, staffing, training, promotions, compensation practices, employee benefits, social programs, discipline, and termination of employment. The School maintains zero tolerance for violations of this policy and expects all employees to abide by and support this policy without reservation. The School prohibits retaliation against any employee who in good faith makes a report under this policy. Powered by JazzHR 2LSQ58nuLz

Job Description Join DYOPATH as a Service Desk Level 2 Analyst Are you energized by solving technical puzzles and helping people stay connected and productive? DYOPATH is looking for a Service Desk Level 2 Analyst who thrives on team spirit, curiosity, and a genuine commitment to exceptional support. Why You'll Love Working Here • Purpose with Passion – A culture guided by the L.O.V.E. philosophy (Living Our Values Every Day)., • Grow & Thrive – Certifications, career development, and professional growth opportunities., • Award-Winning Culture – Known for outstanding service internally and externally., • Fun & Respectful Teamwork – Collaborative, uplifting environment where achievements are celebrated.Benefits, • Medical, Dental & Vision Coverage, • Life Insurance, • 401(k) with company match, • "You Pick a Day" paid holiday, • FSA & HSA options, • Pet Insurance, • …and more!, • Full benefits overview available at dyopath.com/careersRole Overview, • Location: On Site (New York, NY), • Schedule: 1st Shift (9a-6p); Monday through Friday, • Pay Rate: $29Your Mission as a Service Desk Level 2 Analyst, • Serve as the go-to technical resource for desktops, laptops, printers, mobile devices, software, and network issues., • Tackle mid-level challenges, resolve escalations, and collaborate with IT teams when needed., • Mentor Level 1 analysts through coaching and guidance., • Prioritize user satisfaction with timely issue resolution and follow-up., • Pursue ongoing training, certifications, and continuous learning., • Contribute to special projects supporting service improvement.What You Bring to the TeamEducation & Certifications, • Associate's degree (or higher) in Computer Science or related field preferred., • Professional certifications (or working toward):, • HDI Support Center Analyst (HDISCA), • ITIL Foundation, • Microsoft 365 Certified: Fundamentals, • Microsoft 365 Certified: Endpoint Administrator AssociateExperience & Skills, • 2–4 years in technical support, including at least 1 year as a Service Desk Level 2 Analyst or similar role., • Exceptional customer service and the ability to explain technical solutions clearly., • Strong proficiency in Windows OS, Microsoft Office, and advanced network troubleshooting., • Familiarity with ITIL or similar service frameworks., • Ability to work independently and collaboratively., • Strong analytical and multitasking skills under pressure. Equal Opportunity Employer DYOPATH is committed to a work environment free of all forms of discrimination. DYOPATH recruits and hires without regard to age, color, disability, gender, gender identity, genetic information, marital status, military status, national origin, race, religion, sexual orientation, veteran status, or any other legally protected characteristic. For more information about DYOPATH, please visit our website at . The above information has been designed to indicate the general nature and level of work performed by employees in this classification. It is not designed to contain or to be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of the employee assigned to this job.

Job DescriptionAbout Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.Salary Range: US$ 140,000-190,000/yearRole Overview We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You’ll work across the ML lifecycle—from problem framing and data exploration to model development, evaluation, deployment, and monitoring—often in partnership with client stakeholders and internal delivery teams. You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. Key Responsibilities • Problem Framing & Stakeholder Partnership, • Translate business questions into ML problem statements (classification, regression, time series forecasting, clustering, anomaly detection, recommendation, etc.)., • Collaborate with stakeholders to define success metrics, evaluation plans, and practical constraints (latency, interpretability, cost, data availability)., • Data Analysis & Feature Engineering, • Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses., • Perform data profiling, missingness analysis, leakage checks, and exploratory analysis to guide modeling choices., • Build robust feature pipelines (aggregation, encoding, scaling, embeddings where appropriate) and document assumptions., • Model Development (Core ML), • Train and tune supervised learning models for tabular data (e.g., logistic/linear models, tree-based methods, gradient boosting such as XGBoost/LightGBM/CatBoost, and neural nets for structured data)., • Apply strong tabular modeling practices: handling missing data, categorical encoding, leakage prevention, class imbalance strategies, calibration, and robust cross-validation., • Build time series models (statistical and ML/DL approaches) and validate with proper backtesting., • Apply clustering and segmentation techniques (k-means, hierarchical, DBSCAN, Gaussian mixtures) and evaluate stability and usefulness., • Apply statistics in practice (hypothesis testing, confidence intervals, sampling, experiment design) to support inference and decision-making., • Deep Learning, • Build and train deep learning models using PyTorch or TensorFlow/Keras., • Use best practices for training (regularization, calibration, class imbalance handling, reproducibility, sound train/val/test design)., • Evaluation, Explainability, and Iteration, • Choose appropriate metrics (AUC/F1/PR, RMSE/MAE/MAPE, calibration, lift, and business KPIs) and create evaluation reports., • Perform error analysis and interpretation (feature importance/SHAP, cohort slicing) and iterate based on evidence., • Productionization & MLOps (Project-Dependent), • Package models for deployment (batch scoring pipelines or real-time APIs) and collaborate with engineers on integration., • Implement practical MLOps: versioning, reproducible training, automated evaluation, monitoring for drift/performance, and retraining plans., • Documentation & Communication, • Communicate tradeoffs and recommendations clearly to technical and non-technical stakeholders., • Create documentation and lightweight demos that make results actionable.Success in This Role Looks Like, • You deliver models that perform well and move business metrics (revenue lift, cost reduction, risk reduction, improved forecast accuracy, operational efficiency)., • Your work is reproducible and production-aware: clear data lineage, robust evaluation, and a credible path to deployment/monitoring., • Stakeholders trust your judgment in selecting methods and communicating uncertainty honestly.Required Qualifications, • 3–8 years of experience in data science, machine learning engineering, or applied ML (mid-to-senior)., • Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent)., • Strong SQL skills (joins, window functions, aggregation, performance awareness)., • Solid foundation in statistics (hypothesis testing, uncertainty, bias/variance, sampling) and practical experimentation mindset., • Hands-on experience across multiple model types, including:, • Classification & regression, • Time series forecasting, • Clustering/segmentation, • Experience with deep learning in PyTorch or TensorFlow/Keras., • Strong problem-solving skills: ability to work with ambiguous goals and messy data., • Clear communication skills and ability to translate analysis into decisions.Preferred Qualifications, • Experience with Databricks for applied ML (e.g., Spark, Delta Lake, MLflow, Databricks Jobs/Workflows)., • Experience deploying models to production (APIs, batch pipelines) and maintaining them over time (monitoring, retraining)., • Experience with orchestration tools (Airflow, Prefect, Dagster) and modern data stacks (Snowflake/BigQuery/Redshift/Databricks)., • Experience with cloud platforms (AWS/GCP/Azure/IBM) and containerization (Docker)., • Experience with responsible AI and governance best practices (privacy/PII handling, auditability, access controls)., • Cloud certifications: AWS, Google Cloud, Microsoft Azure, or IBM (data/AI/ML tracks), • Databricks certifications (Data Scientist, Data Engineer, or related)Nice-to-Have, • Causal inference experience (e.g., quasi-experimental methods, propensity scores, uplift/heterogeneous treatment effects, experimentation beyond A/B tests)., • Agentic development experience: designing and evaluating agentic workflows (tool use, planning, memory/state, guardrails) and integrating them into products., • Deep familiarity with agentic coding tools and workflows for accelerated product development (e.g., AI-assisted IDEs, code agents, automated testing/refactoring, repo-aware assistants), including strong judgment on quality, security, and maintainability.Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation. I0GDC3XJwj

Job DescriptionRezolve Ai (NASDAQ: RZLV) is an industry leader in AI-powered solutions, specializing in enhancing customer engagement, operational efficiency, and revenue growth. The Brain Suite delivers advanced tools that harness artificial intelligence to optimize processes, improve decision-making, and enable seamless digital experiences As a leader in Product Discovery, we empower retailers and brands with AI-driven search, conversational commerce, geofencing, and one-touch instant payments. With recent acquisitions of ViSenze, GroupBy and Bluedot, Rezolve is accelerating innovation at the intersection of AI, commerce, and customer engagement To help us build upon our success, we are seeking a Full Stack Software Engineer to contribute in improving our search system performance and scalability. The position reports to the Software Development Manager and will work in close conjunction with the Product, Algorithm/Data Science, and various Engineering teams · Design and implement robust and scalable web applications, covering both frontend and backend development· Collaborate with cross-functional teams to define, design, and ship new features· Ensure the technical feasibility of UI/UX designs and implement them accordingly· Develop responsive and user-friendly web interfaces using modern frontend technologies (HTML, CSS, JavaScript, React, Angular, or Vue.js)· Develop and maintain databases (SQL and/or NoSQL) to support the application· Design, implement, and maintain RESTful APIs for seamless communication between the front end and backend· Ensure API security, performance, and documentation· Implement automated testing strategies to guarantee the reliability and scalability of the application· Work closely with product managers, designers, and other stakeholders to understand project requirements and objectives· Collaborate with other engineers and contribute to a positive team environment· Identify and resolve performance bottlenecks, bugs, and technical issues· Conduct root cause analysis for issues and implement effective solutions Qualifications· Bachelor's degree in Computer Science or related field with a solid foundation in Computer Science· At least 4 years of proven experience as a Fullstack engineer or a similar role· Experience in scripting languages, such as Python for build automation and data processing· Experience in engineering pipeline tools such as airflow· Experience with database systems, both SQL and/or NoSQL· Experience in at least 1 front end framework, such as Angular or React· Solid understanding of data structure and algorithm· Experience in writing clean, reusable codes with great testability· A strong passion for learning and adapting to new technologies· Strong problem-solving skills and attention to detail· Excellent communication and collaboration skills Must HavesStrong interpersonal and communication skillsExperience in JAVA and JAVA SpringExperience in developing UI libraries by modern front-end javascript framework (preferably Angular)Familiarity with CI/CD pipelines and deployment processesKnowledge of HTTP and REST API design and implementation Rezolve is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Rezolve are based on business needs, job requirements, and individual qualifications, without attention to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, veteran or disability status, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Rezolve will not tolerate discrimination or harassment based on any of these characteristics. Rezolve encourages applicants of all ages We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOur mission: to eliminate every barrier to mental health. At Spring Health, we're on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it's therapy, coaching, medication, or beyond—tailored to each individual's needs. We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we've been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers. We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We're just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere. Reporting to the Associate Director of Product, Complex Care, you will take on a high-impact role in building the tools and workflows that power Spring Health's workplace mental health services, ranging from employee support and manager consultations to crisis response and return-to-work guidance. Your work will improve operational efficiency, strengthen care delivery, and create seamless, connected experiences for members, providers, and employer partners. Please note that this is a hybrid role based in New York with an expectation to be in office 2-3 days a week. Our office is located at 60 Madison Ave. What you'll do: • Design tools that enable care teams, clinical operations, and providers to operate efficiently, confidently, and consistently across all Workplace Care services., • Improve the experience of members seeking workplace support by reducing time to care, clarifying next steps, and ensuring smoother, more connected care journeys., • Partner closely with clinical operations to understand workflow needs and craft solutions that reduce administrative burden and elevate care quality., • Identify opportunities to simplify and standardize workplace workflows— intake, triage, coordination, documentation, or follow-up—to improve reliability and outcomes., • Use automation and intelligent workflow design (including AI where appropriate) to streamline manual tasks and support faster, more accurate service delivery., • Gather and synthesize insights from care teams, employers, and internal stakeholders to inform product direction and continuous improvement., • Collaborate with Data Science to define metrics and evaluate the impact of workflow improvements on efficiency, timeliness, satisfaction, and outcomes., • Work cross-functionally with Engineering, Design, Clinical Ops, Customer Success, and the AI Servicing Platform team to deliver scalable, high-quality solutions., • Members accessing workplace support experience faster resolution times, clearer guidance, and smoother transitions into ongoing care., • Care teams and providers see measurable reductions in manual work, documentation time, and overall workflow friction., • Workplace workflows operate more consistently across teams and customer accounts, improving reliability and reducing escalations., • Operational improvements translate into stronger employer-facing outcomes, supporting renewal and expansion conversations., • Automation and workflow enhancements meaningfully shorten SLAs and increase throughput., • High adoption and satisfaction from internal users, reflecting an intuitive, predictable, and effective servicing experience. We're looking for an experienced product manager with demonstrated talent for creativity and execution. Experience working with healthcare infrastructure, in AI/ML, and having worked in an early-stage startup environment is a big plus. • Bachelor's degree in Business, Computer Science, Engineering, or a related field., • 5+ years of product management experience with a solid track record of delivering successful products within or adjacent to the healthcare industry., • Experience building clinical tools or EHR systems, with a deep understanding of provider workflows, documentation processes, and the realities of clinical practice., • Empathy for providers and clinical teams—you understand their daily realities, can speak their language, and translate their needs into intuitive, efficient product experiences., • Broad healthcare knowledge, ideally spanning beyond mental health., • Comfort with a high-growth, dynamic environment, and an ability to balance agility with consistency as business priorities, user needs, and our competitive environment evolves, • An ability to navigate ambiguity, with a bias towards rapid execution over process, • A self starter who thrives when given autonomy, with aptitude and desire to build effective internal and external relationships, • Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type., • Employer sponsored 401(k) match of up to 2% for retirement planning, • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents., • We offer competitive paid time off policies including vacation, sick leave and company holidays., • At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents., • Access to Noom, a weight management program—based in psychology, that's tailored to your unique needs and goals., • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses., • Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription, • Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care, • Up to $1,000 Professional Development Reimbursement a year. Ready to do the most impactful work of your life? Learn more about our values, what it's like to work here, and how hypergrowth meets impact at Spring Health: Our Values Our privacy policy: Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

Job Description WisdomTree is seeking a Head of Financial and Business Intelligence to join our Technology and Data organization, reporting to the Chief Information Officer. This is a senior leadership role and a key thought partner to the COO and President, CIO, and senior business leaders, shaping how WisdomTree turns sales, marketing, client, product, and financial data into sharper strategic insight, better forecasting, and stronger business decisions across the firm. This role will serve as the firm’s central intelligence function, transforming data into actionable insight that informs strategic decision-making across sales, product development, client engagement, and financial management. The ideal candidate will combine deep asset management and distribution fluency with strong commercial judgment, executive presence, and a hands-on operating style, and will be equally comfortable setting the agenda, challenging assumptions, building the analysis, and delivering the narrative to senior leadership. Responsibilities • Set the vision and lead the Financial and Business Intelligence function, establishing the operating model, priorities, standards, and talent strategy for a firmwide capability that serves as WisdomTree’s central source of business and financial insight., • Own the firm’s management information and executive insight agenda, ensuring that reporting, dashboards, and performance reviews are accurate, timely, decision-oriented, and broadly adopted across the organization., • Build and govern a trusted enterprise data foundation for sales, marketing, research, and financial intelligence, including accountability for data quality, metric definitions, controls, governance, and the integrity of underlying ETL and reporting processes., • Generate proactive business intelligence and strategic insight by identifying trends, anomalies, risks, and growth opportunities, and translating data into clear recommendations that improve commercial, product, and financial decision-making., • Lead forecasting, scenario analysis, and performance diagnostics to support resource allocation, business planning, client and channel strategy, and senior management decision-making., • Partner with senior leaders across Sales, Marketing, Research, Finance, and Technology/Data to align KPIs, evaluate business performance, and embed a consistent, enterprise-wide view of results and opportunities., • Build and manage a distributed team model, with analytics partners aligned to major business areas while maintaining centralized standards, shared tooling, common definitions, and consistent governance across the function., • Advance the use of AI and automation across the intelligence lifecycle, applying modern tools and agentic workflows to improve analytical speed, insight generation, forecasting quality, reporting efficiency, and self-service decision support.Required Qualifications/Skills & Experience, • Bachelor’s degree in Finance, Economics, Business, Data Analytics, Computer Science, Statistics, or a related field., • 15+ years of experience in business intelligence, strategic analytics, financial planning, commercial or revenue intelligence, or related roles, including meaningful leadership experience in asset management or closely related financial services., • Strong knowledge of asset management distribution, sales and marketing processes, executive reporting, KPI design, forecasting, trend analysis, and data governance, with the ability to connect data to commercial outcomes and business actions., • Demonstrated experience building trusted reporting environments, improving data quality, and establishing scalable management information practices that are broadly adopted by business stakeholders., • Proficient in Salesforce or comparable CRM platforms, Power BI or similar BI tools, SQL, Excel, and modern data and AI tooling; comfortable working across reporting layers, data models, ETL workflows, and automation-enabled analytics environments., • Experience leading high-performing teams in a distributed or federated operating model, with the ability to balance enterprise standards with strong business partnership., • Excellent leadership, executive communication, analytical, storytelling, and cross-functional influencing skills, with a demonstrated ability to operate strategically while remaining hands-on in analysis and presentation development.Preferred/Nice to Have, • Direct experience working in, or closely supporting, asset management sales, marketing, distribution, product, or client strategy teams., • Experience designing executive dashboards and management reporting used by senior leadership to monitor business performance, commercial trends, and strategic priorities., • Experience developing sales pipeline, net flow, or related forecasting models, ideally in an asset management, wealth, or financial services environment., • Familiarity with product adoption analytics, advisor segmentation, and client intelligence frameworks used to assess commercial effectiveness, identify growth opportunities, and support targeted business actions., • Experience building AI-enabled analytics workflows or agents using platforms such as Databricks AI Agents, Microsoft AI Foundry, Salesforce Agentforce, or similar enterprise AI frameworks., • Advanced degree and/or certifications in Salesforce, Microsoft Power BI, CFA, CAIA, or related analytics disciplines.Compensation for this role:, • Base salary range of $250-300K.**

Job DescriptionAbout Us: Versana is an industry-backed data and technology company on a mission to transform the syndicated loan market. By digitally capturing agent banks’ data on a real-time basis, Versana provides unprecedented transparency into loan level details and portfolio positions, bringing efficiency and velocity to the entire market. Through our centralized platform, participants can rest assured they are accessing the loan market’s most credible source of deal information. With the support of our investors, Versana is fast becoming the technology of choice to usher in the modernization of the syndicated loan market. About You: Versana is looking for a motivated Full Stack Software Engineer to join our Application Development squad. The squad’s goal is to create, enhance and maintain Versana’s real-time syndicated loan platform. The application front-end presents a streamlined interface which provides clients access to real-time loan data and positions. The Full Stack Software Engineer will work closely with seasoned technology leaders and colleagues with broad and varied backgrounds in a dynamic, agile environment. You must have a passion for building intuitive applications and a strong understanding of front-end technologies and best practices. You must also have experience in designing, developing, and deploying secure, performant, and scalable backend services in a cloud environment. You will play a key role in all stages of Versana’s data platform development, from ideation through deployment and support.Responsibilities: • Develop and own front and back-end applications for our platform., • Work with Product and UX to address client needs with high-impact and high-visibility solutions., • Write clean, maintainable and well-documented code., • Build test automation across the full stack of our software., • Optimize the applications for performance and scalability., • Develop and maintain our design system., • Help setup the technical foundation and culture for the Application Development squad., • Help onboard and mentor new team members.Must Have:, • BS or BA in Computer Science or related field., • 5+ years of full stack development experience (backend with Java/Spring Boot, front-end with React/Angular (TypeScript/JavaScript)., • Good understanding of application architecture and performance optimization., • Adeptness at using build and development tools (Git, Maven/Gradle, Artifactory)., • Experience with REST APIs and GraphQL., • Experience working with Databases (SQL and NoSQL)., • Ability to partner with multi-functional teams and pivot quickly., • Curiosity and willingness to learn new things., • Strong communication, analytical and problem-solving skills. Nice to Have:, • Knowledge of Docker, Kubernetes and CI/CD pipelines., • End-to-end testing knowledge (Cypress/Selenium/Cucumber etc.)., • Exposure to third-party libraries (AG grid, D3 etc.)., • Familiarity with design systems (UI components, animations/transitions, accessibility)., • Experience with public cloud computing., • Knowledge of Syndicated Loans or Leveraged Finance.

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. About the AI & Advanced Computing Institute (“AI Institute”) The AI Institute at Schmidt Sciences is a grantmaking and research group that views AI as a transformative force for scientific discovery and societal progress. Over the next decade, we aim to support key researchers who are working to make AI systems competent, trustworthy, reliable, and able to effectively partner with human scientists on the next generation of discovery. We will also make selected distinctive investments in beneficial AI areas where philanthropy has a unique advantage. By supporting enabling infrastructure, foundational research, and targeted programs in science disciplines, the AI and Advanced Computing Institute will create the conditions for AI-enabled discovery to achieve its promise. The AI Institute currently has three focus areas: AI for Science – using AI to improve how scientists generate hypotheses, conduct experiments, analyze data, and produce new knowledge – and do this in a way that specifically accelerates the discovery process. Exploratory programs include post-transistor hardware for AI and AI for scientific simulation. Science of AI – understanding and controlling AI systems to mitigate and manage potential risks from advanced AI. Improve AI reliability and performance in areas of limited commercial interest. Existing programs include AI2050 and Science of Trustworthy AI. Exploratory programs include AI interpretability and evolution of multi-agent communication. Beneficial AI – providing scientific foundations and datasets for understanding the larger human impacts of AI. This includes selected high-impact grantmaking, such as our programs to use AI to accelerate humanities research (Humanities and AI Virtual Institute), and to quantify the impact of AI on the labor market (AI@Work). The Role Reporting to the Director of the AI Institute at Schmidt Sciences, the Senior Program Scientist will provide technical leadership and people management across the AI Institute, as well as contribute to the overall strategy of Schmidt Sciences. This is not a traditional research or industry role; rather, impact in this role is achieved by enabling high-quality academic and industry progress through funding, development of scientific instruments and other supports, convening, ecosystem building, and thought leadership. Success for this role is the ability to position the AI Institute as the premier funder of AI scientific research globally, with a reputation for selecting the hardest technical challenges and using philanthropy to significantly advance solutions to them. In short, the ambition here is to influence the next decade of scientific discovery. Key Responsibilities for this role include the following:Strategic Leadership • Support the Institute lead in the design, evolution, and execution of the AI Institute’s current and future strategic, scientific, and technical direction., • Co-design multi-year research agendas., • Identify areas of AI where early philanthropy entry can provide significant advancement., • Contribute to the overall scientific priorities in the AI and advanced computing portfolio and set future directions for engagementTechnical Evaluation and Program Development, • Provide technical advice to the existing programs and major awards of the AI Institute., • As needed, work with team members to develop new programs. Note: current program explorations include AI interpretability, evolution of communication of multi-agent systems, post-transistor AI hardware, and AI-enabled simulation of scientific processes., • Support existing AI Institute programs by providing networking assistance, scientific expertise, and mentorship, as necessary, and by working closely and collaboratively with the teams responsible for delivery. Contribute to the team’s assessment of expressions of interest and research proposals. Team Management, • Manage 3-5 program scientists and visiting scientists to help them continue to grow their scientific discernment and grantmaking skills., • Contribute to the improvement of the AI team’s operations, including our grantmaking, budgeting, events & convening, and other processes.External Engagement and Ecosystem Building, • Act as a conduit for bringing in innovative ideas and perspectives from the AI community, actively engaging with stakeholders to identify emerging trends and opportunities for collaboration.Schmidt Sciences Support, • Serve as an expert advisor at Schmidt Sciences on topics in AI and advanced computing, with a focus on AI and humanities., • Work with other members of the Schmidt Sciences team to drive organizational priorities and model our values., • Identify potential partners for Schmidt Sciences, including universities, labs, other research facilities, and philanthropic and government organizations., • Participate in relevant industry or academic conferences and events, representing Schmidt Sciences’ presence on AI and advanced computing issues.Required Knowledge, Skills, and Abilities, • Advanced degree (e.g., PhD), from an accredited institution, with a focus on artificial intelligence, • 10+ years of academic and industry experience in artificial intelligence, • Deep understanding of modern machine learning, including deep learning, probabilistic modeling, generative models, reinforcement learning, and large-scale representation learning, • Experience leading teams and managing technical staff, • Hands-on experience designing, training, and evaluating state-of-the-art models (e.g., foundation models, multimodal systems, agentic AI, simulation-based models), • Demonstrated track record of scientific accomplishments, evidenced by peer-reviewed publications, patents, successful grant applications, or contributions to innovative industry projects, • Ability to critically evaluate scientific, technical, and other AI-related claims in grant proposals and other technical opportunities and emerging methods, • Deep relationships in the AI community and experience working with AI-focused institutions, • Experience producing technical writing for expert and general audiences, • Demonstrated ability to collaborate and a record of impact in high-intensity, team-based environments, • Sense of urgency in driving work to completion, • The highest integrity and ability to maintain confidentiality, • Be able to travel within the U.S. and internationally on a regular basis as neededPreferred Knowledge, Skills, and Abilities, • Hands-on AI Experience: Experience building prototypes, benchmarks, or proof-of-concept systems to test scientific hypotheses or assess research investments. Strong fluency in ML engineering tools and best practices (Python, PyTorch/JAX/TF, data pipelines, MLOps, evaluation frameworks). Experience evaluating the scalability, data requirements, compute needs, and infrastructure implications of ambitious AI projects., • Expertise in Specific Focus Areas for the AI Institute, Including: AI model evaluation and red-teaming for scientific reliability, Mechanistic interpretability or auditing methods, Multi-agent systems and emergent behavior, AI-accelerated simulation frameworks, • AI x Science: Familiarity with how AI is used across scientific disciplines (biology, chemistry, physics, climate science, neuroscience, etc.). Expertise in at least one scientific domain where AI is meaningfully accelerating research (e.g., protein structure prediction, generative chemistry, computational biology, materials discovery, climate modeling). Ability to work and translate technical concepts across multiple scientific disciplines

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. The Role We're seeking a Senior Data Scientist to lead the science behind a best-in-class ticketing experience for fans, with a focus on the operational journey from ticket purchase through event entry. In this role, you will own and develop predictive and decisioning models that proactively identify and mitigate fulfillment issues, strengthen inventory validation, and optimize customer service policies — all while balancing fan experience with operational constraints. You will work on problems where getting it right matters: predicting issues before they impact fans, identifying emerging pain points at scale, and turning moments of potential failure into opportunities to build trust and loyalty. This includes building and productionizing models on both structured and unstructured data, such as LLM-backed pipelines that extract actionable signals from customer communications and support interactions. You will partner closely with product managers, analytics engineers, operations leaders, and other data scientists to translate ambiguous business problems into durable, production-ready data products, and to influence decisions that measurably improve the fan experience. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA What You'll Do • Own the science behind ticket fulfillment: Drive reliability, ease of use, and customer satisfaction by crafting and deploying scalable, production-grade machine learning models that directly inform operational systems and decisions., • Drive data-informed strategy: Work with operations partners to shape roadmaps, using analysis and modeling to identify, prioritize, and size high-impact opportunities that can be implemented and sustained at scale., • Design for validation: Apply principles of experimentation and causal inference to ensure work products can be rigorously evaluated, defining offline validation and online testing strategies early in the design process., • Build the data foundation: Partner with platform and analytics teams to ensure data availability and quality, including event instrumentation, batch and streaming ETL, feature stores, and monitoring for model performance, bias, and drift., • 5+ years of industry experience in data science or machine learning, with an MS or PhD in mathematics, statistics, computer science, or a related quantitative field preferred., • Strong programming skills in Python, with experience using numerical and machine learning libraries such as Pandas, NumPy, SciPy, scikit-learn, and gradient-boosting frameworks (e.g., LightGBM, XGBoost)., • Demonstrated experience building, deploying, and iterating on production machine learning models in cloud environments (e.g., AWS, Azure), including post-deployment monitoring and improvement., • Expertise working with large-scale data using modern analytics and compute platforms such as Snowflake, BigQuery, or Databricks, with strong proficiency in SQL., • Proven ability to establish data science methodology in new or ambiguous domains, owning work end to end—from stakeholder alignment and problem framing to delivery and measurable impact., • Experience applying machine learning to operational problem spaces such as ticket fulfillment, fraud detection, customer service, or trust and safety., • Experience with production ML platforms and workflows, such as Metaflow or comparable systems (e.g., Airflow-based ML pipelines, Kubeflow, SageMaker Pipelines, Prefect, Flyte), including model versioning, scheduling, and monitoring., • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.

Job DescriptionAbout Us CurbWaste is a venture-backed, early-stage vertical SaaS company on a mission to modernize the waste and recycling industry — one of the most critical and underserved sectors in the world. Our customers are hard-working, no-frills operators running complex businesses with limited tools. We’re here to change that. With $50M raised and the backing of top-tier investors, we serve over 150 customers who rely on CurbWaste’s all-in-one solution to power their operations. But we’re just getting started. Our ambition is to become the system of record for the waste industry and support the people who keep our cities running. At CurbWaste, we hold a high bar. We believe in trust, ownership, and a relentless focus on delivering value. We challenge each other to grow every day and live by values that shape how we show up: • Serve our customers, serve our industry, • Be infinitely curious, • Resourcefulness over resources, • Win as a team, learn as a team You'll work closely with engineering to shape our data infrastructure (Snowflake, Sigma, and beyond), partner with business teams to deliver the metrics and dashboards they need, and play a key role in preparing data for AI-powered features on our 2026 roadmap. This isn't a role where you wait for tickets — you'll identify what matters, build it, and own it. If you're someone who thrives with autonomy, thinks end-to-end, and wants to shape how a growing company uses data, this is for you. Requirements What You'll Do • Build and own dashboards, reports, and self-serve analytics that drive decisions across the company, • Partner with engineering to design and implement our data warehouse and BI stack, • Define key metrics and data models for operational and financial performance, • Prepare and structure datasets that power AI and machine learning initiatives, • Work cross-functionally with product, ops, finance, and engineering to understand needs and deliver insights, • Establish data quality standards and documentation as the foundation for a future data teamAbout The Ideal Candidate, • Bachelor's or Master's degree in a quantitative field (Computer Science, Statistics, Economics, Engineering, or similar), with strong academic performance, • Deep SQL expertise — you can write complex queries, optimize performance, and model data cleanly, • Hands-on experience with modern BI tools; Sigma experience is a strong plus, • Familiarity with cloud data warehouses (Snowflake, BigQuery, Redshift, or similar), • Demonstrated grit and resourcefulness; thrives in high-growth, fast-moving, and often ambiguous environments, • Strong communicator who can translate data into clear recommendations for non-technical stakeholders, • Self-directed and proactive — you don't wait to be told what to build, • Mission-driven attitude — you care about helping customers win and making a real impactNice to Have, • Some programming ability (Python, Javascript) for data manipulation or automation, • Exposure to the waste, logistics, or industrial sectors, • Experience preparing data for machine learning or analytics-driven product features, • Join a high-performing, mission-driven team transforming a critical industry., • Competitive salary ($120k–$150k), flexible time off, and ample opportunities for learning and development., • Company-paid medical, dental, and vision coverage, plus 401k. At CurbWaste, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We strongly encourage people from underrepresented groups to apply. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.

Job DescriptionAVP, QA Automation Engineer OTC Markets Group - New York, NY - Full Time OTC Markets Group Inc., operator of premier US financial marketplaces, is seeking a QA Automation Engineer, to join our Technology team. The QA Engineer will work with the Development and QA Teams to understand the business and system requirements and test scenarios respectively related to the applications we build or modify the automation framework. This individual will be part of an agile team responsible for analyzing product functionality, designing test strategies, and executing test scenarios both manually and through automated test frameworks built with JavaScript. We value curious, persistent, and technically driven people who take ownership of quality and enjoy building industry-standard solutions. If this sounds like you, we’d love to talk to you. We invest heavily in employee satisfaction and offer all our employees a highly competitive compensation package. As a dynamic, growing company that fosters an open culture, we emphasize autonomy, responsibility, innovation, and self-discipline. We are looking for someone who wants to make an impressive impact at a company known for its reputation on quality and achievement. Base compensation for this role is up to $155,000 annually, depending on experience. In addition, the position is eligible for our discretionary annual bonus program and equity. What You’ll Do: • Collaborate with our development teams to ensure high-quality outcomes throughout the Agile development lifecycle, encompassing architecture, story definition, development, testing, and release., • Develop Test cases and execute various types of testing, such as Functional, Integration, Regression, Data Validation, User Interface, that ensure high-quality software is delivered in every release, • Troubleshoot application issues and report technical findings to development, • Write and maintain UI test automation (JavaScript) to cover critical integrations and end-to-end workflows, • Additional responsibilities, as assigned.What We’re Looking For:, • You have 3+ years of experience in QA and test automation in Web or a Bachelor's in Computer Science, • 2 + years of experience in JavaScript (ES6 and higher), • Good understanding of databases and AWS Services., • Good knowledge of SQL and some experience with databases: PostgreSQL, Informix, MySQL, • Experience with the latest tools and industry best practices UI test automation (e.g. Playwright/WebDriver IO), • Linux and GIT knowledge, • Ability to diagnose application issues (reviewing application logs, reviewing server stats, etc.), • Clear understanding of the following tech/tools:, • Automation Languages: JavaScript, • Automation Frameworks: Playwright, Jasmine, • API Testing: Jasmine, JavaScript, • Database: Postgres, Informix, • Backlog Management & Collaboration: Jira, Teams What OTC Markets Offers its Team Members (Why You Should Choose Us): Benefits: • Generous Paid Time Off (PTO), • Health, Dental, and Vision Coverage, • Health Savings Account (HSA), • Flexible Spending Accounts (FSA) Dependent & Healthcare, • Limited Purpose Flexible Spending Account (LPFSA), • Generous Paid Parental Leave Program, • Annual bonus and Stock Incentive Program, • 401(K) Plan - Retirement, • Commuter Transit & Parking Program, • Income Protection (Life Insurance, Short- & Long-Term Disability), • Voluntary Benefits (Accident, Critical Illness, & Hospital Indemnity)Perks:, • Hybrid Work Schedule, • Class Pass Partnership (Fitness & Wellness Programs), • Citi Bike Membership Program, • Mondays – Breakfast Bagels & Wednesdays – Pizza Lunch, • Office Snacks and Beverages, • Monthly birthday celebrationsAbout OTC Markets Group Inc. OTC Markets Group Inc. (OTCQX: OTCM) operates regulated markets for trading 12,000 U.S. and international securities. Our data-driven disclosure standards form the foundation of our public markets: OTCQX® Best Market, OTCQB® Venture Market, OTCID™ Basic Market and Pink Limited™ Market. Our OTC Link® Alternative Trading Systems (ATSs) provide critical market infrastructure that broker-dealers rely on to facilitate trading. Our innovative model offers companies more efficient access to the U.S. financial markets. OTC Link ATS, OTC Link ECN, OTC Link NQB, and MOON ATS™ are each SEC regulated ATS, operated by OTC Link LLC, a FINRA and SEC registered broker-dealer, member SIPC. To learn more about how we create better informed and more efficient markets, visit . We are an equal opportunity and E-Verify employer and prohibit discrimination and harassment of any kind. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, creed, color, religion, gender, national origin, age, marital status, political belief, physical or mental disability, sexual orientation, military or veteran status, genetic information, family or parental status, gender identity, pregnancy, including childbirth or related medical condition, or any other characteristic protected by federal, state, or local law. We encourage applicants of all ages and backgrounds. Applicants have rights under Federal Law: Equal Employment Opportunity is the Law Polygraph Protection Act FMLA Powered by JazzHR OJXbxCtJPx

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityAs an AI Researcher specializing in generative models for materials discovery at Radical AI, you will help the development of the first commercial foundation model for materials science. Your role involves pioneering the application of generative models in the field of materials science, in particular by leveraging flow matching, diffusion, and LLMs. You will develop novel models and training techniques tailored for atomistic data in materials science. Your responsibilities include designing and conducting large-scale experiments to validate the most promising approaches in generative modeling. Collaborating closely with our engineering and computational materials science teams, you will play a crucial role in transitioning state-of-the-art models from research to production. Your expertise will contribute to the broader research community through publications in top-tier AI/ML venues like NeurIPS, ICML, and ICLR, alongside active participation in conferences and workshops. This role offers the unique opportunity to mentor and guide junior members of our technical team and research interns, fostering a culture of growth and innovation. Positions are available at various levels of seniority: Senior, Staff, and Principal.Mission • Lead and develop our generative foundation models in materials discovery., • Work in collaboration with various teams, in particular the quantum chemistry team, the atomistic simulation team, the engineering team, and the experimental team., • Conduct large-scale experiments to validate and refine promising approaches, collaborating closely with engineers to implement these models in production., • Develop rigorous benchmarks to validate and test the performance of our models., • Contribute to the AI and materials science research community through publications and active engagement in top-tier AI/ML venues like NeurIPS, ICML, ICLR, and our company blog, alongside active participation in conferences and workshops., • Tackle challenging problems with new and different ideas, creativity and contrarian thinking., • Mentor and guide junior team members and interns, promoting an environment of continuous learning and innovation.About you, • Ph.D., M.S., or B.S. in Computer Science, AI, Machine Learning, Applied Maths, or a closely related field, with a strong focus on deep learning and generative models., • At least 3 years of research experience in AI, with a proven track record in generative modeling, particularly in fields adjacent to materials science., • Working knowledge of various generative AI architectures, including transformers, diffusion models, CNFs, and flow matching., • Demonstrated experience in designing and running large-scale experiments in AI and machine learning., • Passionate about leveraging ML for science related problems and a commitment to doing world-class research., • Proficiency in Python and relevant ML libraries (e.g., PyTorch)., • Strong publication record in top-tier AI/ML conferences or journals., • Excellent collaboration and communication skills, capable of articulating complex technical ideas clearly and effectively.Pluses, • Prior experience in transitioning AI research into production environments., • Active involvement in the AI research community, with contributions beyond publications, such as organizing workshops or giving talks at conferences.What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job DescriptionAHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. In this role, you will use your business savvy and industry background to accelerate AHEAD’s strategic relationship with Google Cloud Platform (GCP). You will have the opportunity to drive results and shape the future of our AHEAD–GCP partnership across all GEOs, ensuring we are tightly aligned with Google Cloud’s priorities, programs, and routes to market. As the Partner Account Manager – Google Cloud (GCP), you will create and execute joint go-to-market (GTM) plans, shape strategy, ensure consistent sales contribution, and maintain a healthy balance across AHEAD’s partner portfolio with a primary focus on our GCP alliance. You will also be responsible for leading a team of Partner Account Managers focused on developing strategic partnerships with Google Cloud and orchestrating alignment across AHEAD sales, practices, marketing, and delivery. Responsibilities • FINANCIAL / REVENUE, • Set annual and quarterly revenue, ACV, and pipeline targets for the GCP partnership, including co-sell, marketplace, and influenced revenue sourced through Google Cloud., • Develop and negotiate strategic partner investment agreements with Google Cloud (e.g., MDF, incentives, joint business plans) to contribute to AHEAD’s business development and sales growth., • Manage and report national pipeline and performance metrics for GCP, including co-sell pipeline, win rates, marketplace contribution, and profitability, providing visibility and insight to Sales and Executive Leadership to help manage the business., • Maintain deep subject matter expertise in Google Cloud Partner Advantage, co-sell, and marketplace programs to maximize incentives, rebates, and overall profitability back to the business., • Own the governance of GCP scorecards and joint business plans, ensuring AHEAD consistently meets or exceeds Google’s performance expectations for tier status, specialization, and competencies., • ALIGNMENT, • Maintain a strong working relationship with Google Cloud Partner Development Managers (PDMs), Partner Sales Managers (PSMs), Solution Architects, and Industry teams, brokering relationships between AHEAD sales teams and GCP field sellers., • Serve as the primary executive liaison between AHEAD and Google Cloud, coordinating executive briefings, bi-directional business reviews, and long-range alliance planning., • Develop AHEAD’s partner QBR messaging for Executive QBRs and Managing Director QBRs, with clear representation of GCP performance, pipeline, and strategic initiatives., • Participate in weekly cadence calls with Google Cloud and AHEAD Channel / Alliance teams to review pipeline, key pursuits, and program updates., • Lead and facilitate executive meetings, including preparing executive briefs, strategic narratives, and presentations that clearly articulate AHEAD’s value proposition on GCP and joint GTM plays., • Align closely with AHEAD Cloud & AI team to ensure solution roadmaps, reference architectures, and services offerings are tightly mapped to GCP solution areas., • Partner with AHEAD Finance and Operations to operationalize GCP programs (e.g., registration processes, funding utilization, marketplace operations, and deal-approval workflows)., • DEMAND GENERATION / PIPELINE GROWTH, • Develop compelling joint GTM plays and “stitching stories” that showcase how AHEAD integrates multiple Google Cloud services and partner solutions into business outcomes for clients., • Build and execute joint marketing campaigns with Google Cloud (events, digital campaigns, webinars, workshops, executive briefings) to generate qualified pipeline aligned to target industries and solution focus areas (e.g., Data & AI, Security, Cloud Foundation, Application Modernization)., • Leverage GCP Marketplace and co-sell programs to build and maintain a robust pipeline of enterprise opportunities, ensuring offers are well positioned, discoverable, and easy for customers to procure., • Monitor a robust GCP-focused sales pipeline and review profitability metrics such as margin percentage, incentive capture, and coverage across territories, making recommendations to improve performance., • Work with regional sales leadership and field sellers to drive teaming agreements with Google Cloud account teams on strategic pursuits, ensuring clear roles, value propositions, and close plans., • Collaborate with AHEAD’s Executive Briefing Center (EBC) and technical labs to ensure the latest GCP products, reference architectures, and joint solutions are showcased in demos, POVs, and customer workshops., • Ensure AHEAD receives its fair share of GCP demand generation activities and marketing development funds (MDF) by proactively identifying opportunities, submitting proposals, and ensuring flawless execution., • Drive strong pre- and post-event discipline, ensuring field alignment before events (target accounts, messaging, meeting objectives) and structured follow-up motion after events to convert interest into pipeline and bookings. Qualifications • Minimum of 10 years in Partner Management or Sales, with at least 5 years working directly with GCP., • Minimum of 5 years in the IT system integrator, reseller, or ISV industry, preferably in roles that include partner management, channel sales, or cloud-focused GTM., • Bachelor’s degree in Business Administration, Computer Science, Information Systems, or related field., • Master’s degree in Business Administration or Information Technology preferred., • Direct experience managing or co-selling through Google Cloud Partner Advantage, GCP Marketplace, or similar cloud marketplace / alliance programs strongly preferred., • Experience leading cross-functional teams (sales, marketing, technical, operations) in support of joint GTM and alliance growth. Knowledge, Skills, Abilities, • High-level technical knowledge of cloud infrastructure, data platforms, security, and application modernization, with a strong understanding of how these map to GCP solution areas., • Deep understanding of Google Cloud’s partner ecosystem, including Partner Advantage tiers, specializations, incentives, co-sell, and marketplace constructs., • Strong communication and executive presence, with the ability to clearly articulate complex joint value propositions to C-level audiences at both AHEAD and Google Cloud., • Exceptional relationship-building skills, with a track record of developing trusted advisor status with partner and customer stakeholders across sales, technical, product, and leadership roles., • Proven leadership skills and experience leading, coaching, and developing Partner Account Managers and cross-functional alliance teams., • Excellent presentation and storytelling skills, including experience building executive-ready decks, QBR content, and joint business plans for strategic alliances., • Ability to build net-new GTM content, plays, and enablement and distribute them effectively across AHEAD field teams and OEM partners., • Ability to collaborate internally on joint solutions and integrated offerings and roll out those solutions with multiple OEMs, with a primary focus on Google Cloud., • Strong commercial acumen with comfort structuring and negotiating complex enterprise deals involving cloud consumption, marketplace terms, and joint incentives.

Job DescriptionAbout Nivoda Nivoda is building the global marketplace for jewellery. Our platform connects retailers and suppliers across diamonds, gemstones, and finished jewellery, already enabling more than $300M in annual transactions and growing rapidly toward a billion-dollar scale. We operate across multiple economic layers: marketplace trading, fulfilment, logistics, and fintech services. Pricing exists across each of these layers and directly determines liquidity, margin, and growth. To scale the platform effectively, pricing must evolve from isolated decisions into a coordinated, data driven system. About the Role We are hiring a Pricing Systems Lead to build and operate the analytical and systems foundation behind pricing across Nivoda. This role does not set prices for individual products. Domain leaders own their P&L and pricing decisions. Instead, this role ensures pricing across the company works as a coherent system. You will connect data, experimentation, and product infrastructure to help the business understand pricing behaviour, measure elasticity, and identify opportunities across marketplace, fulfilment, and fintech products. Your job is to ensure that pricing decisions across the platform are informed, coordinated, and continuously optimised. What You'll Do Build the Pricing Intelligence System * Create the analytical foundation that powers pricing decisions across the company. * Develop frameworks and datasets that allow teams to understand price sensitivity, margin impact, and marketplace behaviour. * Build visibility into how pricing performs across different product categories and services. Your impact: pricing becomes measurable and controllable rather than opaque. Design and Run Pricing Experiments * Introduce experimentation into pricing decisions. * Design and analyse experiments that measure elasticity, conversion impact, and behavioural changes across pricing structures. * Work with Product and Engineering across all domains to implement safe and scalable experimentation. Your impact: pricing decisions are grounded in evidence. Connect Pricing Across the Platform * Ensure pricing decisions across teams work together. * Work with leaders across Marketplace, Fulfilment, and Fintech to identify inconsistencies, conflicts, and opportunities. * Create a shared framework that helps teams understand trade offs between margin, liquidity, and growth. Your impact: pricing operates as a unified system rather than disconnected decisions. Build the Foundations of a Pricing Engine * Partner with Data and Engineering to move pricing logic into scalable systems. * Define the models, signals, and infrastructure required for dynamic or rules based pricing. Ensure pricing inputs can be integrated into the product platform over time. * Your impact: pricing becomes scalable as the platform grows. Turn Data Into Clear Commercial Insight * Translate complex analysis into decisions leaders can act on. * Provide clear insight into pricing behaviour across the platform. * Help teams understand the trade offs between margin, liquidity, growth, and customer behaviour. Your impact: pricing becomes a strategic lever for the business. What You Are * 5-7+ years working in pricing analytics, marketplace analytics, or data science roles. * Strong analytical and modelling skills with experience working with large datasets. * Experience working in a marketplace or two sided platform. * Experienced in running experiments or analysing pricing elasticity. * Comfortable working across product, finance, and commercial teams. * Commercially minded. You understand how pricing decisions affect supply, demand, and platform behaviour. * Clear communicator who can translate analytical work into business decisions. Preferred Qualifications * Exposure to dynamic pricing systems or pricing engines. * Experience in ecommerce, fintech, marketplaces, or trading environments. What We Offer 🕰️ Flexible working hours and a vibrant company culture 💻 Remote work 🏥 Medical (United Healthcare), Dental, & Vision (Guardian Life) benefit 💸 401K benefit (Guideline Inc) 🧠 Plenty of opportunities for growth and learning 🏖️ Unlimited holiday allowance 🚀 Chance to join and contribute to a company during its exponential expansion phase Nivoda is proud to be an equal opportunity workplace dedicated to promoting diversity. We don’t discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status. Even if it seems you don't meet 100% of our musts don't let it stop you, we are all about finding the best talent out there! Skills can be learned, and embracing diversity is invaluable. Please note: Our Talent Acquisition Team is international coming from across the world. We kindly ask you to please submit your CV and application in English so that it can be reviewed correctly. This is a full time, permanent position that's remote within United States. Unfortunately, we are unable to offer sponsorship at this time. *If after reading this job description you believe this is not the best fit for you, we’d encourage you to join our Talent Pool so we can keep you in mind as new roles open up. You can sign up here: Nivoda Talent Pool This ensures you're among the first to hear about openings aligned with your skills and interests.

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are seeking an exceptional Data Analyst to join our Data team, to derive actionable insights across Product, Marketing, Talent, RevOps and other cross-functional teams. This role will report to our Director, Data Science & Analytics. This is a high-impact role that will be instrumental in helping stakeholders gain accurate insights faster, reduce reporting overhead, and build the foundation for long-term data excellence. You will play a key role in defining KPIs that provide strategic alignment for the company and work on exciting projects like population health testing and impact evaluation to drive better long-term health outcomes for the country. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Build, own and manage key KPIs and dashboards, ensuring they are accurate, consistent, and governed, including end to end management of the lifecycle of an analytics project, • Be a thought partner on how to measure success across all aspects of Garner's products, • Create scalable and maintainable data pipelines in collaboration with the data engineering team, • Develop a deep understanding of your analytical domain in order to independently drive and produce meaningful insights, • Identify gaps in current reporting coverage and proactively develop new dashboards and insights, • Maintain, troubleshoot, and continuously improve existing dashboards to meet evolving business needs, • Ensure consistent and reliable metrics definitions across teams, • Advocate for best practices in data visualization, documentation, and stakeholder communicationThe ideal candidate has:, • 3+ years of experience in Data Analytics, Business Intelligence or a similar data-centric role, • Proven experience building and maintaining dashboards in tools like Looker, Tableau, Power BI, or similar tools, • Strong SQL skills and ability to work with large datasets, • Ability to work cross-functionally and translate ambiguous business questions into data-driven solutions, • Comfortable working independently and owning reporting projects end to end, • Attention to detail with a mindset for automation and scalability, • Familiarity with Google Sheets and a strong understanding of its limitations and strengths, • Bonus: Experience with dbt, Snowflake, or data engineering workflows Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target salary range for this position is $131,000 - $150,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at .

Job Description At TixTrack, we support our clients by creating superior ticketing solutions for performing arts and cultural institutions through a combination of modern technology, beautifully simple design, and the art of listening. Headquartered in the heart of the Broadway Theatre District, NYC, we are a small, but growing team of hardworking, highly motivated individuals. We are passionate about our work and driven to innovate with our customers to solve current and future challenges with new solutions. Our core product, Nliven, is a real-time platform that helps venues manage ticket sales efficiently while creating a more engaging buying experience for customers. With a presence across both the US and UK, we are anticipating robust growth in 2026. Even with a highly dispersed, largely remote workforce, we stay connected through our Slack channels, virtual events and regional meetups. Come see how we “role”. About The Role The Customer Support Engineer provides the first line of engineering and technical support after traditional customer support channels are unable to resolve a production system issue or technical question. This role serves as the gatekeeper between Ticketing Services team members collaborating directly with customers and the Engineering / Product teams to improve both customer relationships and the Nliven product. This position reports directly to the VP of Customer Experience. This position is full-time and fully remote. Candidates are preferred to be located in the Eastern timezone, ideally in New York, Connecticut, or New Jersey. We will also consider candidates in Florida, Virginia, North Carolina, South Carolina, as well as these Central timezone states: Louisiana, Wisconsin, Minnesota, and Texas. Candidates may be required to travel and/or meet up in-person from time to time. There may also be an expectation in the future for hybrid work in a local office. About You * You bring a strong technical foundation and can comfortably read and interpret code (C#, JavaScript, SQL, CSS), using that knowledge to troubleshoot complex production issues and clearly communicate findings to both technical and non-technical audiences. * You are naturally curious and analytical, with a proven ability to diagnose issues using logs, telemetry, and system behavior, and you take ownership of problems through to resolution. * You thrive in a cross-functional environment, partnering effectively with Customer Experience, Product, and Engineering teams to translate real-world customer challenges into actionable insights, bug reports, and product improvements. * You are highly organized and detail-oriented, able to manage multiple priorities while maintaining a strong customer-first mindset and contributing to documentation, knowledge bases, and scalable support processes. What You'll Do * Assist customers and internal team members in troubleshooting technical challenges raised via customer calls or Hubspot tickets and ensure the product and its features work as intended. * Identify features that do not work as intended and file bug reports in Jira for the product team evaluation and prioritization. * Liaise internally with various Engineering sub-teams, when necessary, based on technical challenges and support cases. * Link bug and feature request tickets logged in Jira to Hubspot tickets and communicate back to Ticketing Services when related items are worked on and released/fixed by the Development team. * Collaborate with Product / Ticketing Services on process for tracking support-related bugs and feature requests - logging and prioritization. * Contribute actively to Product / Ticketing Services knowledge bases and other product-related and technical documentation. * Develop flowcharts, layouts, and/or documentation to identify requirements and propose solutions. * Work closely with customers and cross-functional departments to communicate API and integration capabilities of the system. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for the job. Duties, responsibilities, and activities may change at any time with or without notice. What You'll BringMinimum Requirements * Bachelor’s degree in Computer Science, Engineering, or related field. * At least 2 years of software engineering or development experience and/or previous experience in a technical customer support role. * Hands-on experience with ability to read, interpret, and summarize C#, Javascript, CSS, and SQL. * Proven experience with Google Analytics and Google Tag Manager for tracking and data layer implementation, along with proficiency in custom CSS for front-end styling and customization. * Hands-on experience reading system telemetry: logs, dashboards, and monitors. * Experience with cloud-based infrastructure, DNS, networking, storage, logging, and monitoring tools is a plus. * Understanding of software development and testing methodologies and deployment practices is a plus. Essential Skills * Strong oral and written communication skills. * Ability to work independently and manage multiple projects and deadlines. * Possess strong analytical and problem-solving skills. * Ability to troubleshoot and use deductive reasoning to solve difficult production issues. * Possess a strong resolve to see long-running tasks through from inception to resolution. * Strong customer service skills. * Excellent organizational skills with high attention to detail. Tools You’ll Use * Google Suite * Slack * JIRA * Hubspot * Teamwork * Tableau What We Value Find Harmony - We confidently manage our work priorities and feel comfortable taking time to enjoy life outside of work. Have a Clear View - We are transparent and honest, understand our roles, and know how we contribute. Be a Fan - We are passionate about our work and driven to innovate with our customers to solve current and future challenges with new solutions. Welcome All - We are a diverse group of employees that come together as a team, without ego, and do great work. Perform at Your Best – We are committed to our customers success, always willing to listen and improve, to ensure our products exceed expectations. How We Work Radical Curiosity - We Stay Hungry - We approach each day with curiosity and accountability; learning, engaging fully, questioning assumptions, connecting our work to the bigger picture, and always keeping the customer at the center. Embrace Change - We Own Outcomes Together - We succeed by holding ourselves accountable, collaborating deeply across teams, embracing change, and continuously improving together. Seek Solutions - We Continuously Innovate Together - We focus on solutions and client value by acting decisively, prioritizing what matters most, and turning ideas into results through rapid, iterative action. Empathy - We Grow Together - We listen deeply to our customers and to each other, using data, empathy, and mutual respect to grow stronger together. Transform - We Raise The Bar - We set high standards, honor our commitments, and move forward every day with a success mindset, driving continuous improvement and quality for our customers. Our Commitment to Diversity TixTrack is committed to a workplace where everyone is free from bias, prejudice, discrimination, and harassment. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. We strive to ensure a welcoming work environment where everyone belongs and is valued, encouraged, & respected. We embrace and celebrate the unique experiences, perspectives, and cultural backgrounds that each employee brings to our workplace. We are focused on building a culture that acknowledges and values diversity, equity, and inclusion. What We Offer * Base annual salary range of $70,000 to $85,000, commensurate with experience * Eligibility for annual bonus based on performance and company success * 100% of premium paid for medical, dental and vision benefits for employee and dependents, with an HSA-eligible option (with a $1,000 employer contribution for 2026) * Company-paid life insurance * Traditional and Roth 401k plans * Paid parental leave * Learning & development opportunities with company reimbursement for eligible educational expenses * Working abroad opportunities * Volunteer days off * Flexible scheduling * Up to $300 reimbursement for initial equipment to set up hybrid work environment * Generous PTO and holiday schedule * Remote work environment California Applicants: CCPA/CPRA Notice Right to Work Poster Notice of E-verify Participation Our team is here to support you throughout the hiring process with reasonable accommodations. We strive to provide an unbiased and equitable interview experience for all applicants. If you need assistance applying for a role due to a disability or special need, please let us know by emailing .

Job DescriptionCompany Description VERSANT is a leading force in news, sports and entertainment - home to iconic and trusted brands that inspire, inform, and delight audiences. Our unique combination of content, technology and services enriches the cultural fabric, igniting passions, sparking conversations, and connecting people to what they love most. As an independent, publicly traded company, VERSANT brings together powerhouse cable networks - including USA Network, CNBC, MS NOW (formerly MSNBC), Oxygen, E!, SYFY, and Golf Channel - with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. Together, these businesses reflect our commitment to delivering exceptional experiences across every screen and service. VERSANT is an industry-changing media company fueled by innovation and an entrepreneurial spirit. With a strong foundation and a forward-looking vision, VERSANT empowers creativity, embraces change, and drives connection in an ever-evolving world. Job Description This is a rare opportunity to lead the future of workplace technology. We Versant Media are starting off with a clean slate, free from the burden of legacy tech debt. As our Senior Director of Workplace Engineering, you will have the mandate to bring fresh, innovative ideas that completely rethink what workplace technology looks and feels like for a modern enterprise. You will lead a world-class team of engineering directors and managers, empowering them to design, build, and deploy the next generation of solutions that power our global offices and enable a seamless hybrid work environment. You will be at the forefront of our strategy, integrating IoT, building automation, and collaboration systems with interior design and architecture to build an iconic HQ that inspires our employees and impresses our guests. If you are a visionary leader who can balance deep technical expertise with strong people leadership, and you are ready to build a high-performing engineering culture from the ground up, this is the role for you. Qualifications Basic Requirements: · A bachelor’s degree (or higher) in Computer Science, Software Engineering, or a related field. · 10+ years of extensive software development experience, with a proven track record in a senior leadership or management role overseeing software engineers. · Demonstrable experience leading the delivery of software products or platforms in a fast-paced, agile environment. · Strong software engineering background with expertise in modern web technologies and cloud-based architectures (AWS, Azure). We value diverse language experience and a strong ability to apply engineering best practices across tech stacks. · Experience in overseeing solution design and architecture, driving alignment with business objectives, and optimizing systems for scalability and modernization. · Exceptional collaboration skills, with the ability to effectively communicate and partner with technical and non-technical stakeholders across all levels of the organization. · A strategic mindset with strong problem-solving abilities, comfortable making technical decisions, reviewing designs, and guiding teams through complex engineering challenges. Desired Characteristics: · Workplace Innovation: Experience building and integrating IoT and automation systems within a new building or a modern workplace environment. · AI and Data Expertise: Familiarity with AI/ML concepts and experience integrating AI-driven tools or features into software products (e.g., chatbots, recommendation systems). · System Integration: Expertise in tightly integrating building technology with daily employee-facing systems to create a cohesive user experience. · Leadership & Culture: A demonstrated ability to mentor developers, provide constructive feedback, and build a positive, innovative, and inclusive team culture. Additional Requirements: • Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Salary range: $190,000 - $245,000 (bonus and long-term incentive eligible) We are accepting applications for this position on an ongoing basis. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job DescriptionCompany Description Uncommon Schools is a nonprofit network of high-performing public charter schools dedicated to providing an exceptional K-12 education in economically disadvantaged communities. Operating in Boston, Camden, New York City, Newark, and Rochester, we are committed to closing the college completion gap and preparing every student for college and beyond. Our students consistently exceed national benchmarks, reflecting our dedication to their success. We invest deeply in our educators, offering weekly coaching, feedback, and professional development to ensure excellence in teaching and leadership. Join us to work hard, do good, and make a lasting difference! Job Description To build more high-performing schools, we need leaders to commit themselves to the most urgent and exciting work of our time. Uncommon Schools Principal Fellows are strategically trained and developed using best-in-class practices with the goal of stepping into an Uncommon Principal role upon completion of the Fellowship, in which they will co-lead a school alongside an Uncommon Director of Operations. This Principal Fellow and eventual Principal is a full-time employee, hired, supported, and evaluated by the Regional Superintendent of Instruction and the Senior Director of School Support. The fellowship is based on a foundation of core elements aligned to the competencies of Uncommon Principals. Each element is designed to build Principal Fellows’ capacity towards becoming effective instructional school leaders: Feedback and Assessment Feedback, especially individualized feedback, is the main tool that will support the Principal Fellow’s growth as a leader and is the main reason our schools go from good to great. Principal Fellows will receive feedback formally and informally throughout the Fellowship during their time in schools, professional development, and in cross-regional Fellow cohort gatherings. This will include feedback from the Principal Fellow’s Host Principal, the Regional Superintendent of Instruction, and the Senior Director of School Support. School Immersion By integrating fully into the day-to-day activities of an Uncommon school, Principal Fellows will gain exposure to situations they may face as a school leader and be challenged to manage the complexity of scenarios that occur at a school. Principal Fellows will work with their Host Principal and the Senior Director of School Support throughout their Fellowship to plan how they will master the skills and competencies needed to lead a high-performing school, including Instructional Leadership, Teacher Development, School Culture, and Family Engagement. Principal Fellows are “in the driver’s seat” of their learning and must seek and plan for opportunities throughout their Fellowship to demonstrate a leadership presence and readiness to lead while being fully immersed within a school. Professional Development Principal Fellows join our Principals in monthly, cross-regional professional development. This is an important opportunity to learn alongside Principals and cohort members about the most up-to-date instructional leadership and people management best practices to develop your leadership capabilities. In addition, Principal Fellows will attend a series of cohort-specific professional development workshops which are more intimate and allow for more “at-bats,” practice and direct application to their school immersion. These cohort sessions will provide opportunities for Principal Fellows to look to one another for professional and personal support. Qualifications • Passionate commitment to the mission of Uncommon Schools;, • Passionate commitment to expand knowledge, skills, and opportunities for students both in and out of school;, • Passionate commitment to the mission of Uncommon Schools and investment in our vision for being an anti-racist organization;, • Passionate commitment to expand knowledge, skills, and opportunities for students both in and out of school;, • Dedication to building culturally responsive learning partnerships with students, teachers, and families;, • Demonstrates tenacity, personal responsibility, a founder’s mentality, and a commitment to continual professional growth;, • Strong people management skills, including the ability to effectively navigate difficult conversations and hold staff, scholars, and families accountable in a supportive manner;, • Ability to develop and maintain a strong staff culture that is clearly focused on realizing our Uncommon mission;, • Strong data analysis skills;, • Ability to provide high-leverage feedback via classroom observations;, • Ability to strategically manage and prioritize time and tasks effectively to fully meet the needs of their school, with a lens toward systems thinking;, • Ability to thrive in a fast-paced environment; flexible, able to work autonomously and take direction as needed;, • Familiarity and success with–or commitment to–implementing Uncommon’s core tenets of instructional leadership (e.g., See It-Name It-Do It framework, Leverage Leadership principles);, • Required experience:, • At least 3 years of teaching experience with evidence of outstanding student growth and achievement;, • At least 1 year of experience coaching, leading, and/or managing teachers (e.g., Assistant Principal, Dean of Curriculum, Instructional Leader, grade level chair, content/department chair);, • Experience teaching core subjects (e.g., Math, ELA, Science, History) is preferred., • A Bachelor's degree. Additional Information Our people are what make us Uncommon. We offer competitive compensation and comprehensive benefits that support the personal health, wellness, and finances of our staff and their families. Our compensation philosophy values equity & fairness and attracting & retaining top talent. Compensation Compensation for this role is between $113,000 to $119,900. Most candidates who meet job description requirements will receive an offer of $113,000. Starting pay is determined using various factors including but not limited to relevant professional development, education certifications, and tenure with Uncommon Schools. Benefits • Generous paid time off inclusive of sick time, paid holidays, and 10 weeks of paid breaks (Spring, Winter, and Summer)., • Extensive, best-in-class training and development, • Comprehensive health, dental, and vision insurance plans + pre-tax flexible spending (FSA), dependent care (DCFSA), and health saving accounts (HSA), • Financial Planning, • 403(b) retirement savings program + employer match, • Paid leave of absence options (parental, medical, disability, etc.) At Uncommon, we believe that a supportive and welcoming environment helps our students, staff, and community thrive. We are dedicated to building a team that brings a wide range of perspectives and experiences, reflective of the communities we serve---with over 70% of our staff identifying as people of color. Our organization values respect and open dialogue on important topics that shape our school culture. As an equal opportunity employer, Uncommon provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We also ensure that individuals with disabilities receive all privileges and benefits associated with employment and are provided reasonable accommodations for the interview process and to perform core job functions. If you would like to request an accommodation, please email .

Job DescriptionCompany Description VERSANT is a leading force in news, sports and entertainment - home to iconic and trusted brands that inspire, inform, and delight audiences. Our unique combination of content, technology and services enriches the cultural fabric, igniting passions, sparking conversations, and connecting people to what they love most. As an independent, publicly traded company, VERSANT brings together powerhouse cable networks - including USA Network, CNBC, MS NOW (formerly MSNBC), Oxygen, E!, SYFY, and Golf Channel - with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. Together, these businesses reflect our commitment to delivering exceptional experiences across every screen and service. VERSANT is an industry-changing media company fueled by innovation and an entrepreneurial spirit. With a strong foundation and a forward-looking vision, VERSANT empowers creativity, embraces change, and drives connection in an ever-evolving world. Job Description The Data Engineering team is seeking a Senior Data Engineer to help design, build, and scale the modern data platform that powers analytics, data science, and data products across Versant brands. In this role, you’ll collaborate closely with Data Product, Data Science, Analytics, and Engineering teams to deliver reliable, high-impact data solutions used by hundreds of internal users. We're looking for engineers who enjoy hands-on development, take ownership of production systems, and influence implementation through collaboration and technical expertise. Key Responsibilities • Design and implement lakehouse architecture using Delta Lake, including medallion pipeline patterns (Bronze/Silver/Gold), schema enforcement, and time travel, • Build and operate batch and real-time ingestion pipelines leveraging Databricks Auto Loader, Structured Streaming, and Change Data Capture patterns, • Optimize performance and manage costs through FinOps strategies, including cluster sizing, workload tagging, Spark tuning, and Photon acceleration, • Design, implement, and maintain CI/CD pipelines and orchestration workflows using Databricks Workflows, Delta Live Tables, and tools such as Airflow, • Provide technical mentorship through code reviews, pairing and knowledge sharingQualifications, • Bachelor’s degree in Computer Science, Data Engineering, or equivalent practical experience, • 5+ years of experience building production-grade data pipelines in cloud environments using Spark-based platforms (e.g., Databricks, EMR, Dataproc, open-source Spark), • Expertise in PySpark, SQL, and Spark-based data processing, with experience operating pipelines at scale in production, • Hands-on experience building batch or streaming production data pipelines using distributed processing frameworks (e.g., Spark, Flink) and query engines such as Presto, • Proficiency with orchestration tools such as Apache Airflow or Dagster, with hands-on experience in CI/CD, monitoring, alerting, and data quality for production systems, • Experience working with modern data architectures, including event-driven and distributed systems, • Proficiency with Git and collaborative development workflows, • Build and operate batch and real-time ingestion pipelines using Spark based batch and streaming patterns (e.g., Structured Streaming, CDC), with experience on Databricks or comparable platforms, • Experience building Lakehouse platforms and medallion pipelines in Databricks, • Familiarity with Unity Catalog, data governance, and compliance frameworks (e.g., PCI), • Hands-on experience with CI/CD pipelines, orchestration tools, and infrastructure-as-code, • Experience with Lakeflow Spark Declarative Pipelines (SDP), MLflow, feature stores, and MLOps practices, • Background in media and entertainment data (e.g., video metadata, ad tech, audience analytics), • Experience working with large-scale analytical datasets (e.g., event logs, clickstream data, audience metrics), • Comfortable using AI-assisted development tools (e.g., ChatGPT), • Passion for clean, reliable, and scalable data systems, • Strong communication and collaboration skills, • Ability to balance near-term delivery with thoughtful technical design, • Curiosity and a growth mindset, • Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week from our NYC office., • Salary: $140,000 - $160,000. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other benefits and perks., • As part of our selection process, candidates may be required to attend an in-person interview with a VERSANT employee in New York. VERSANT's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law., • VERSANT is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job Description Merge is the leading provider of agentic tools and customer-facing integrations for frontier LLMs, Fortune 500 organizations, and B2B SaaS companies. Our platform offers two core products: Merge Unified, which enables businesses to add hundreds of integrations to their products with a single API, and Merge Agent Handler, which empowers AI agents with secure access to thousands of third-party tools. Merge's enterprise-grade platform handles the entire integration lifecycle, from authentication and security to monitoring and maintenance. Thousands of companies trust Merge to accelerate product development, unblock sales, reduce customer churn, and save engineering resources—allowing them to focus on their core product. Technical Support Engineer at Merge As a Technical Support Engineer, you will be responsible for providing high-quality support to our customers and prospects, including troubleshooting technical issues and assisting with integrating Merge into our customers' products. You'll work closely with engineering and platform teams to debug issues, squash bugs, and prioritize customer requests. The ideal candidate will have a strong technical background with experience with APIs, excellent problem-solving, communication, and customer service skills. Your work as a Technical Support Engineer will be of high value and have a direct impact on the bottom line of Merge's product offerings to our customers, with increased levels of internal and external visibility. What you will do: • Provide top-tier support to customers via online chat, email, Slack/Teams and screen-share meetings., • Troubleshoot technical issues and drive creative solutions to customers in a timely manner., • Contribute to establishing and maintaining the integration of Merge into our customers' product, • Partner with Engineering, Product and Customer Success teams to resolve incidents and advocate for feature requests., • Create and maintain help center guides, runbooks, and internal notes to strengthen our knowledge base., • Help lay the foundation for a successful and rapidly growing support engineering team!, • 2+ years of experience in technical support, customer facing engineering, or solutions engineering roles., • Computer science background or other technical/quantitative orientation., • Excellent verbal and written communication skills., • Strong work ethic, a customer-first mindset, goal-oriented approach, and great attention to detail, • Strong problem-solving skills; experience with scripting for debugging and one-off analyses is a plus., • Prior startup experience is a plus Compensation • The cash compensation range for this role is $120,000 - $140,000, • Unlimited PTO + 10 company holidays, • Quality health, vision, and dental insurance, • 401K Plan, • $200 one-time home office stipend, • Free dinner when working past 7pm

Job Description At HelloFresh, we want to change the way people eat forever by offering our customers high-quality food and recipes for different meal occasions. Over the past 10 years, we've seen this mission spread around the world and beyond our wildest dreams. Now, we are a global food solutions group and the world's leading meal kit company, active in 18 countries across 3 continents. So, how did we do it? Our weekly boxes full of exciting recipes and fresh ingredients have blossomed into a community of customers looking for delicious, healthy, and sustainable options. The HelloFresh Group now includes our core brand, HelloFresh, as well as: Green Chef, EveryPlate, Chefs Plate, Factor_, and Youfoodz. As an Applied Scientist on the Demand Forecasting team, you will help shape how HelloFresh predicts and plans customer demand across our US supply chain. Your work will sit at the intersection of data science, optimization, and operations. You’ll be building models that directly drive business-critical decisions from menu planning and procurement to fulfillment. You’ll partner closely with product, engineering, and operations teams to design, test, and deploy advanced forecasting and decision systems. You’ll explore and apply state-of-the-art machine learning and statistical techniques to improve forecast accuracy, quantify uncertainty, and enable better planning decisions. Beyond building models, you'll play a key role in translating complex scientific insights into scalable tools and strategies that enhance efficiency and reduce waste throughout the supply chain. You will… • Develop, prototype, and deploy forecasting models that capture complex demand patterns and constraints across multiple brands, products, and time horizons., • Build scalable data pipelines leveraging Databricks, Snowflake, and AWS., • Create mathematical optimization models and tools to solve practical business problems; roll them out., • Collaborate cross-functionally with procurement, planning, and operations teams to translate scientific work into measurable business outcomes., • Identify problems proactively, formulate and implement robust and data-driven solutions., • A hands-on problem solver with experience applying scientific methods to real-world operational challenges., • Skilled in Python and familiar with common machine learning and optimization techniques., • Experienced in data manipulation and analytics within cloud-based ecosystems., • Agile – you thrive in fast-paced and dynamic environments and are comfortable working autonomously, • Comfortable balancing scientific rigor with business pragmatism; able to communicate insights effectively to both technical and non-technical audiences., • A degree in a quantitative field such as Computer Science, Statistics, Applied Mathematics, Operations Research, or a related discipline (Master’s or PhD preferred)., • 3+ years of experience applying machine learning, forecasting, or statistical modeling in an applied business setting., • 2+ years of experience building tools/applications in a high-level language, such as Python or Java., • Experience working with large, complex datasets using SQL and Python-based data ecosystems., • Competitive hourly rate, 401K company match that vests immediately upon participation, & team bonus opportunities, • Generous PTO and flexible attendance policy, • Comprehensive health and wellness benefits with options at $0 monthly, effective first day of employment, • Up to 85% discount on subscriptions to HelloFresh meal plans (HelloFresh, Green Chef, Everyplate, and Factor_), • Access to Employee Resource Groups that are open to all employees, including those pertaining to BIPOC, women, veterans, parents, and LGBTQ+ At HelloFresh, we embrace diversity and inclusion. We are an equal-opportunity employer and do not discriminate on the basis of an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. As part of the Company’s commitment to equal employment opportunity, we provide reasonable accommodations, up to the point of undue hardship, to candidates at any stage, including to individuals with disabilities. We want to adapt our processes and create a safe space that welcomes everyone so please let us know how we can accommodate our process. In case you have any accessibility requirements you can share that with us in the application form. To learn more about what it's like working inside HelloFresh, follow us on Instagram and LinkedIn. HelloFresh is committed to the principles of equal employment opportunity and providing reasonable accommodations to candidates with disabilities. If you need an accommodation during the application process, please reach out to us at:

Job DescriptionAbout Nivoda Nivoda is building the global marketplace for jewellery. Our platform connects retailers and suppliers across diamonds, gemstones, and finished jewellery, already enabling more than $300M in annual transactions and growing rapidly toward a billion-dollar scale. We operate across multiple economic layers: marketplace trading, fulfilment, logistics, and fintech services. Pricing exists across each of these layers and directly determines liquidity, margin, and growth. To scale the platform effectively, pricing must evolve from isolated decisions into a coordinated, data driven system. About the Role We are hiring a Pricing Systems Lead to build and operate the analytical and systems foundation behind pricing across Nivoda. This role does not set prices for individual products. Domain leaders own their P&L and pricing decisions. Instead, this role ensures pricing across the company works as a coherent system. You will connect data, experimentation, and product infrastructure to help the business understand pricing behaviour, measure elasticity, and identify opportunities across marketplace, fulfilment, and fintech products. Your job is to ensure that pricing decisions across the platform are informed, coordinated, and continuously optimised. What You'll Do Build the Pricing Intelligence System * Create the analytical foundation that powers pricing decisions across the company. * Develop frameworks and datasets that allow teams to understand price sensitivity, margin impact, and marketplace behaviour. * Build visibility into how pricing performs across different product categories and services. Your impact: pricing becomes measurable and controllable rather than opaque. Design and Run Pricing Experiments * Introduce experimentation into pricing decisions. * Design and analyse experiments that measure elasticity, conversion impact, and behavioural changes across pricing structures. * Work with Product and Engineering across all domains to implement safe and scalable experimentation. Your impact: pricing decisions are grounded in evidence. Connect Pricing Across the Platform * Ensure pricing decisions across teams work together. * Work with leaders across Marketplace, Fulfilment, and Fintech to identify inconsistencies, conflicts, and opportunities. * Create a shared framework that helps teams understand trade offs between margin, liquidity, and growth. Your impact: pricing operates as a unified system rather than disconnected decisions. Build the Foundations of a Pricing Engine * Partner with Data and Engineering to move pricing logic into scalable systems. * Define the models, signals, and infrastructure required for dynamic or rules based pricing. Ensure pricing inputs can be integrated into the product platform over time. * Your impact: pricing becomes scalable as the platform grows. Turn Data Into Clear Commercial Insight * Translate complex analysis into decisions leaders can act on. * Provide clear insight into pricing behaviour across the platform. * Help teams understand the trade offs between margin, liquidity, growth, and customer behaviour. Your impact: pricing becomes a strategic lever for the business. What You Are * 5-7+ years working in pricing analytics, marketplace analytics, or data science roles. * Strong analytical and modelling skills with experience working with large datasets. * Experience working in a marketplace or two sided platform. * Experienced in running experiments or analysing pricing elasticity. * Comfortable working across product, finance, and commercial teams. * Commercially minded. You understand how pricing decisions affect supply, demand, and platform behaviour. * Clear communicator who can translate analytical work into business decisions. Preferred Qualifications * Exposure to dynamic pricing systems or pricing engines. * Experience in ecommerce, fintech, marketplaces, or trading environments. What We Offer 🕰️ Flexible working hours and a vibrant company culture 💻 Remote work 🏥 Medical (United Healthcare), Dental, & Vision (Guardian Life) benefit 💸 401K benefit (Guideline Inc) 🧠 Plenty of opportunities for growth and learning 🏖️ Unlimited holiday allowance 🚀 Chance to join and contribute to a company during its exponential expansion phase Nivoda is proud to be an equal opportunity workplace dedicated to promoting diversity. We don’t discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status. Even if it seems you don't meet 100% of our musts don't let it stop you, we are all about finding the best talent out there! Skills can be learned, and embracing diversity is invaluable. Please note: Our Talent Acquisition Team is international coming from across the world. We kindly ask you to please submit your CV and application in English so that it can be reviewed correctly. This is a full time, permanent position that's remote within United States. Unfortunately, we are unable to offer sponsorship at this time. *If after reading this job description you believe this is not the best fit for you, we’d encourage you to join our Talent Pool so we can keep you in mind as new roles open up. You can sign up here: Nivoda Talent Pool This ensures you're among the first to hear about openings aligned with your skills and interests.

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role Join Hinge as a Staff AI Engineer, where you’ll lay the cornerstone of our agent-powered future by focusing on Operational AI Systems. You will architect the foundational workflows, guardrails, and tooling that turn AI agents into everyday teammates for our internal support and operations teams. Think of it as building the AI Agent Operating System for critical internal operations: establishing the orchestration layer, standardizing tool schemas, automating the agent lifecycle, instrumenting real-time monitoring, and ensuring every solution is robust, scalable, efficient, and responsible. You’ll collaborate closely with operational specialists and engineers, meet non-technical stakeholders where they are, and deliver value in tight, incremental loops tied directly to solving their biggest problems. Because we’re still early in our agent journey, you’ll enjoy a broad scope with an expectation of mentoring peers, shaping best practices, and defining the north star for AI-native operations at Hinge. If you’re energized by building green-field systems that leverage AI to solve challenging problems, this is your invitation to help write the next chapter of how Hinge deploys AI to create a safer and more meaningful user experience on their journey to find an intimate connection.Responsibilities • Own the technical roadmap for AI automation across high-volume operational workflows, driving discovery and prioritization of high-impact AI automation opportunities while providing hands-on technical leadership from concept to production., • Prototype agentic solutions using the latest platforms and frameworks and integrate them with existing internal and third-party tools and systems., • Deliver reliable, scalable, and robust automations with the appropriate evaluations, guardrails, human oversight, and clear performance monitoring., • Drive adoption by producing documentation, running hands-on training and enablement sessions for non-technical operators, and curating prompt libraries and playbooks that empower self-service iteration., • Collaborate closely with Data Scientists, Data Engineers, Product Managers, Backend Engineers, and the AI Platform Team to ensure a comprehensive and coordinated approach to improving operational efficiency., • Embed safety, privacy, auditability, and responsible-AI standards into every workflow in partnership with Legal and Security teams., • Mentor and educate ML Engineers and Platform Engineers on new trends and research in AI/ML that can be applied to initiatives to improve user outcomes, promote safety, and improve AI-powered products and workflows.What We're Looking For, • Production-grade agent orchestration and state management: Proven ability to design, build, and operate highly reliable multi-step LLM agents, emphasizing state machine design, reliable tool calling, and recovery from failure states within coordination frameworks., • Applied AI engineering & prompt craft: Deep Python skills plus hands-on experience integrating foundation models and crafting robust prompts and utilizing vector databases., • Rapid prototyping & experimentation: Proven ability to ship and iterate quickly. Skilled at leveraging fast proofs of concept and early data to drive continuous tuning and feature improvement with high velocity., • Backend, data-systems & tool integration: Skilled at wiring external services and internal data into agent workflows through well-designed APIs and schemas., • Human-in-the-loop system design: Able to blend automation with human oversight through clear escalation paths, review checkpoints, and moderator tooling., • Operator enablement & training: Talent for translating technical workflows into clear, actionable training for non-technical teams and supporting their day-to-day adoption., • 7+ years of software or machine-learning engineering experience, with a recent focus on AI-driven automation or agentic systems., • 2+ years delivering solutions that combine automated decision support with human-in-the-loop review., • 2+ years designing and tracking operational metrics that demonstrate ROI, accuracy, and user-experience improvements for automated workflows., • 1+ years of hands-on experience designing and operating stateful, multi-step agentic workflows (e.g., LangGraph, AutoGen, or similar internal frameworks) in production, moving beyond simple single-turn chatbot or RAG demos. #Hinge We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description WHY WE EXIST Money should move as easily as data. It doesn't today. Technology is finally catching up to the need — customers expect instant, global, programmable money. HIFI exists to fix that. Our mission is to make money programmable by default, and to give developers and businesses the tools to move value at software speed. We're rebuilding the financial plumbing of the internet from the ground up. WELCOME TO THE HIFI NEW GRAD PROGRAM This role is part of HIFI's New Grad Program — a structured 3-month contract designed to give early-career talent real ownership, real mentorship, and a real path to full-time employment. You won't be handed busywork. You'll be embedded in a team working on live infrastructure from day one, paired with a senior colleague who will support your growth, and evaluated for a full-time offer at the end of your contract. We're not looking for someone who has all the answers. We're looking for someone who asks the right questions, moves with urgency, and raises the bar every week they're here. WHAT YOU'LL DO * Build and maintain backend services and APIs that handle real money movement at scale, with full end-to-end ownership * Write clean, well-tested, production-ready code — and participate actively in code reviews with the same standard * Contribute to architecture discussions and technical design decisions alongside senior engineers * Investigate and resolve bugs and production incidents with urgency and thoroughness * Learn the mechanics of financial infrastructure — ledgering, settlement, stablecoin rails, onchain connectivity — from the inside out WHAT WE'RE LOOKING FOR * Currently completing (expected graduation June 2026) or recently completed Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Mathematics, or a related field — or equivalent demonstrated experience * Strong foundation in computer science fundamentals: data structures, algorithms, and systems * Proficiency in at least one backend language — JavaScript, Go, Node.js, or similar — and a willingness to learn others * Ability to write readable, maintainable code and explain your technical decisions clearly * Curiosity, humility, and a bias toward asking questions — you don't pretend to know what you don't NICE TO HAVE * Internship or project experience shipping backend code in a team environment with real users * Exposure to APIs, relational databases, or distributed systems concepts through coursework or projects * Personal or academic projects involving fintech, crypto, blockchain, or payments — even small ones * You've built something real — show us the repo and walk us through the decisions you made THE HIFI CODE This is how we operate. Not aspirational — actual. Ownership If you touch it, you own it. Speed We bias toward motion. Clarity Confusion is a signal to act. Standards Quality matters always. Truth We value directness without drama. COMPENSATION & BENEFITS The expected salary range for this role is $90,000 - $110,000 USD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package. This role begins as a 3-month contract with a structured path to full-time employment upon successful completion. During the contract period, we offer commuter benefits ($250 travel stipend) Must be within commutable distance from our New York office and able to work in person most days of the week EQUAL OPPORTUNITY STATEMENT HIFI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status. We also provide reasonable accommodations during the hiring process. By submitting your application, you acknowledge that HiFi will process your personal information in accordance with our Applicant Privacy Policy. Compensation Range: $90K - $110K

Job Description WHO WE ARE Amae Health is a Series B, venture-backed Public Benefit Corporation that delivers specialty outpatient care for people with severe mental illness. We build and operate high-acuity, in-person clinics nationally. Our model integrates psychiatry, therapy, primary care, dietitians, and community support under one roof. It has proven itself as the most effective in the country, which is why we collaborate with leading health systems including NewYork-Presbyterian, Cedars-Sinai, Mass General Brigham, Novant Health, and CommonSpirit to extend our care to where it's needed most. But what makes us fundamentally different is that we are also building the science and technology layer that this field has never had. We are developing proprietary clinical protocols, designing novel measurement science, and engineering an AI data science platform purpose-built for the complexity of severe mental illness. Every patient interaction generates data that feeds back into our protocols, our technology, and our understanding of what actually works. We reduce hospitalizations. We improve stability. We keep people alive and in their communities. We help our members gain purpose and meaning. We're Hiring! Amae Health is seeking an energetic and resourceful Community Liaison to join our Community Engagement Team. This full-time role requires a home address within the New York metro region. The Opportunity: We're actively expanding in the New York City market and seeking a dedicated Community Liaison to support this growth. In this role, you'll build and maintain strong relationships with community stakeholders, advocate for our innovative care model, and champion Amae's mission to deliver compassionate, comprehensive mental health services to individuals with serious mental illness. You'll be deeply embedded in the community, conducting outreach to local and regional partners, including healthcare providers, hospitals, community agencies, correctional facilities, treatment centers, and other referral sources, to promote Amae's integrated care model and develop sustainable partnerships. As an ambassador for Amae Health, you'll thrive in a dynamic environment, balancing tasks like engaging hospital systems and providers, coordinating complex care transitions, responding to urgent referrals, visiting emergency departments, and tracking key details to ensure seamless patient experiences. Your success will come from blending strategic relationship-building with hands-on coordination and problem-solving to strengthen Amae's community presence. What You Will Work On: Community Outreach & Referral Partner Development - 80% • Actively manage and grow patient referrals in your region through systematic outreach to existing provider partners, • Identify and develop new potential referral sources to grow Amae's presence and ensure a steady pipeline of patient referrals, • Coordinate rapid responses to urgent patient situations, collaborating with hospital systems, social workers, and providers to ensure timely care transitions., • Work closely with clinical staff to ensure that referred patients are connected with the appropriate care and support, • Track outreach activity, referral outcomes, and pipeline in CRM to meet or exceed enrollment targets, • Develop quarterly market plans in collaboration with clinical and leadership teams, • Participate in weekly team meetings with enrollment leads and market-based staff, • You've built relationships professionally and know how to open doors, follow through, and keep them open over time, • You care about the people this work serves, and that shows up in how you communicate and problem-solve, • You take ownership of your market without needing constant direction, but you know when to pull in your team, • You stay organized in the field, keep your documentation current, and track what's working so you can do more of it, • You're comfortable in fast-moving, emotionally complex situations and can shift easily between a hospital hallway and a family consultation, • 3+ years of client or customer-facing experience (e.g. in-person consulting, cold calling, digital outreach, business development, etc.), with defined engagement targets., • Proven track record of building a referral base and relationships, such as business development, sales, community outreach, or referral management, • Knowledge of, and passion for, mental health and wellness, • Excellent oral and written communication skills, including strong public speaking ability, • Reliable transportation and ability to commute throughout the five boroughs via public transit, rideshare, or personal vehicle, • Most healthcare companies ask you to optimize an existing system. We're asking you to build things that have never existed., • A national care delivery model engineered from the ground up for the highest-acuity patients in behavioral health., • Precision medicine for SMI: collecting multimodal data across clinical, behavioral, and social dimensions to develop individualized treatment approaches for a population that has never had them., • A clinical operating system that synthesizes longitudinal data, real-time patient signals, and purpose-built clinical tools into a single decision layer. Nothing like it exists today., • Frontier science and measurement: defining and validating the outcomes frameworks that this field has never had. Hospitalizations avoided, days stable, functional improvement, and more. This is not incremental research. This is building the scientific foundation for an entire category of care., • A partnership model with the country's leading health systems that proves coordinated SMI care can work at scale., • We pay competitively. Base salary reflects role, level, and geography. Total compensation includes valuable equity, comprehensive medical/dental/vision, unlimited PTO, parental leave, and programs built around employee well-being. We'll share specifics during the interview process. More About Amae:'Amae', pronounced 'Ah-mai', is a Japanese concept meaning the need to be in good favor with, and the ability to depend on, the people around oneself. It reflects our core belief that a strong support system is essential to build people up, strengthen their will to carry on and even to thrive in life. This mentality applies across our whole company – from the patients we serve to the team we're building. WHAT WE VALUE We center care in all we do. Empathy is not a brand value. It's how we make clinical decisions, build products, and treat each other. We challenge convention. The existing system is the problem. We question it, we test alternatives, and we move with urgency when something works. We take the work seriously, not ourselves. High standards and humanity are not in tension. We hold a hard bar for quality while leaving room for humor and levity. Your job isn't done until the job is done. We close gaps, we follow through, and we don't hide behind titles or org charts. We win together and fail together. We own outcomes as a team. We learn fast. We don't do blame. We hustle with humility. Speed matters. So does integrity. We assume best intent and stay grounded in the mission.Amae Health is an equal opportunity employer and encourages all applicants from every background and life experience to apply.

Job Description Are you ready to make a difference in your community? Do YOU want to work on a team that is committed to empowering individuals? At Helen Keller Services, our employees work in an environment that is more than just a workplace, it’s a community. Since 1893, Helen Keller Services (HKS) has been committed to improving the lives of individuals who are blind, visually impaired, or have combined hearing and vision loss. HKS serves the New York City/Long Island area from its new headquarters in dynamic downtown Brooklyn and the Helen Keller National Center for Deaf-Blind Youth and Adults of Sands Point, New York, which has a network of regional offices that extends HKS’ reach across the United States. We currently have an exciting full-time career opportunity available to join the HKS team as a New York State-licensed Teacher of the Visually Impaired in our Children's Learning Center located in Brooklyn, NY. ESSENTIAL DUTIES AND RESPONSIBILITIES Understand Relevant Medical Information (This should apply to all direct staff within the training building at HKSB.) • Describe the anatomy and physiology of the visual system., • Understand and execute a formal case review of the student’s history including educational, rehabilitation and medical information that is available., • Gain an understanding before formal in-person assessment through dialogue with the student’s parents and school district administrators as to the child’s present functioning level., • Assess the student’s present level of functioning in each of the following areas related to their education:, • Fine Motor, • Gross Motor, • Speech and Language, • Cognitive, • Social / Emotional Must be able to explain, demonstrate, provide instruction and reinforce all core areas of the New York State Pre-K Foundation for the Common Core Curriculum. This will be done through working collaboratively with his / her follow teachers, therapists and the school principal to write monthly themes and weekly lesson plans. The key elements of instruction include the following but are not limited to the following themes: • Pre-reading and Writing Skills, • Pre-math skills, • Language and Literacy, • Social Studies and Arts Technology, • Cognition and General Knowledge / Science, • Respect the rights of each student’s family to participate in decisions regarding their assessment and instructional program., • Effectively monitor the development of each of his / her student’s skills, assess risk to the student during all assessment and instructional activities, and protect the best interest of each student via intervening as appropriate to ensure consumer safety., • Facilitate each student’s independence and problem solving across all five domains, (fine & gross motor, speech / language, cognitive and social emotional skills)., • Maintain their New York State certification by performing the essential teaching responsibilities at HKSB and remain current with pedagogical research, teaching methods and new aids/devices via continuing education opportunities., • Maintain notes of every student for assessment and instruction detailing the objective, details of class, and next steps to achieve., • Compose and submit all Children’s Learning Center Report Cards, Quarterly and Annual Reports written based on observations and data collected from the student in an objective and professional manner., • Participate and contribute in monthly teacher meetings and all full staff meetings., • Maintain a professional demeanor at all times and contribute to the upkeep of their personal space and shared work space. EDUCATION and/or EXPERIENCE Master’s degree in special education and/or a TVI Certificate. 2 years’ in-classroom experience is preferred, but not necessary. CERTIFICATES, LICENSES New York State Education Department / Students with Disabilities (Birth-Grade 2, 1-6, or all grades) Initial or Professional Certificate and/or Blind and Visually Impaired Initial Certificate Work Location: Brooklyn, NY Job Type: Full Time POSITION BENEFITS • 403(B), • 403(B) matching, • Dental Insurance, • Flexible spending account, • Health insurance, • Life insurance, • Paid time off., • Retirement plan, • Vision insurance Helen Keller Services for the Blind is an equal opportunity employer.

Job Description Elite is the trusted automation platform for law firm operations across most of the world's largest and most successful law firms. Elite has guided firms through every technology shift and today delivers the only cloud-native SaaS platform that unifies financial, invoice, time, and data management into a single system of action. With embedded AI, predictive analytics, and integrated payments, Elite's products enable firms to shorten billing cycles, reduce write-offs, and unlock firm-wide insights, making financial operations the foundation for law firm innovation and growth. Learn more at elite.com. Position Overview The Group Product Manager, AI & Data Strategy is a senior product leader responsible for defining and executing Elite's AI and data product vision across a complex, mission-critical Legal ERP platform. This role sits at the intersection of product strategy, data infrastructure, platform partnerships, and go-to-market execution, with a mandate to modernize how customers migrate to the cloud and unlock value from their data. This is a highly visible, high-impact role central to Elite's long-term growth, platform differentiation, and scalable value creation. Work Arrangement: Remote, United States This role requires the individual to be based in Eastern Standard Time (EST) or Central Standard Time (CST) . Responsibilities • Own and evolve the AI and data product vision, aligning customer needs, platform capabilities, and Elite's long-term cloud strategy., • Define and prioritize the roadmap for data platforms, analytics, AI/ML capabilities, and integrations supporting Legal ERP and financial workflows., • Translate complex infrastructure and data decisions into clear, customer-centric product strategies that balance modernization with day-to-day operational needs., • Partner closely with Platform, Engineering, and Strategic Partners to ensure infrastructure investments support scalability, security, performance, and future value delivery., • Act as the product voice in infrastructure and architectural prioritization, ensuring focus on the capabilities that drive customer outcomes and revenue impact., • Lead pricing, packaging, and positioning for AI- and data-driven offerings, defining value metrics and commercial models that clearly communicate ROI., • Enable Sales and Services teams with clear narratives, value propositions, and enablement materials for AI and data capabilities., • Accountable for adoption, retention, and revenue impact of AI and data capabilities., • Uses customer insights, usage data, and financial metrics to guide prioritization., • Lead, mentor, and scale a high-performing product management team while remaining hands-on and execution-oriented in the near term., • Bachelor's Degree in Computer Science, Engineering, Data Science, Statistics, Economics, or a related technical field, or equivalent practical experience leading data and AI-driven products., • 6–8 years of experience in product management experience, including ownership of data platforms, analytics, AI, or infrastructure-adjacent products., • Experience building and operating complex B2B SaaS platforms, ideally within ERP, financial systems, legal tech, or other regulated environments., • Demonstrated ability to lead and scale product teams while staying deeply engaged in strategy and execution., • Strong understanding of data ecosystems and AI/ML concepts in application, including how modern approaches move beyond traditional ETL-driven reporting toward workflow- and agent-driven value., • Experience influencing pricing, packaging, and product positioning for enterprise software offerings., • Ability to engage credibly in architectural and technical tradeoff discussions without requiring hands-on coding., • Exceptional communication and stakeholder management skills, with the ability to align executives, partners, and cross-functional teams around a clear direction., • Comfortable operating in a PE-backed environment with high expectations for focus, prioritization, and measurable outcomes., • Ability to travel up <10% as business needs require, • Role requires the following physical capacity: Sedentary: primarily desk/computer work, • Competitive Compensation Package ($171,000 - $190,000 base salary + variable component), • Comprehensive Healthcare Coverage (Health, Dental, Vision), • Retirement Savings Plan with an Employer Contribution, • Professional Development Opportunities, • Time Off, • Wellness Initiatives, • Employee Assistance Program, • Generous Global Parental Leave, • Calm, free premium subscription Additional Information At Elite Technology, we embrace an employee-centric, flexible work model that empowers you to do your best work in the environment that suits you. However, we also recognize the importance of in-person collaboration for key moments that truly matter. In our flexible remote approach, you have the freedom to choose a workspace within your home country that best fits your needs. Our corporate offices are located in New York City, Los Angeles, Costa Rica, and the Philippines, providing additional options for those who prefer or need a hybrid work environment. Our diverse global team spans the U.S., Canada, U.K., Costa Rica, the Philippines, and Australia. Please note that at this time, we are unable to hire employees located in Quebec or Ontario Provinces, Alaska, Hawaii, Puerto Rico, Louisiana, and Oklahoma. As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. We are proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace. We also provide reasonable accommodation for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. We are not accepting applications submitted through recruiting agencies.

Job DescriptionAbout PayJoy PayJoy is a mission-first credit provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success. Our patented technology for secured credit provides an on-ramp for new customers to enter the credit system. Through PayJoy’s point-of-sale financing and card offerings, customers gain access to a modern quality of life. PayJoy’s credit also allows our customers to seize opportunities as micro-entrepreneurs, and acts as insurance for tough times. Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth. This role Reporting directly to the General Counsel, the Senior Corporate Counsel will be a vital strategic partner to the Finance and Capital Markets teams, as well as the Board, playing a pivotal role in charting the company's next phase of market evolution. This critical position is responsible for architecting and executing the key corporate legal processes and materials necessary to support PayJoy's trajectory toward significant future milestones. A relentless focus will be placed on fortifying the corporate governance framework, managing complex, high-stakes corporate transactions, and meticulously handling external regulatory documentation, all while building the robust legal foundation that will underpin the company's future growth. Key Responsabilities • Support significant corporate maturity initiatives and transactions by drafting, reviewing, and coordinating external-facing corporate and regulatory documentation in partnership with the General Counsel and external advisors., • Serve as the primary internal owner for complex corporate records and disclosures, ensuring accuracy, consistency, and timely delivery across stakeholders., • Manage corporate governance matters, including board and committee materials, minutes, resolutions, equity documentation, and subsidiary governance across jurisdictions., • Partner closely with Finance, Accounting, and external advisors to support disclosure controls, transaction readiness, and evolving corporate requirements., • Oversee and leverage paralegal support to scale document management, entity maintenance, and corporate legal operations., • Monitor developments in corporate and securities law applicable to high-growth companies and proactively surface risks and recommendations to executive leadership.Qualifications, • Juris Doctor (JD) from an accredited law school and active license to practice law in at least one U.S. jurisdiction., • 6+ years of legal experience with a focus on corporate and transactional matters, including experience at a law firm and/or in-house at a high-growth or regulated company., • Exposure to capital markets transactions, public-company readiness initiatives, or similar large-scale corporate milestones., • Strong understanding of corporate governance frameworks and disclosure principles., • Demonstrated ability to partner cross-functionally with Finance, Accounting, and external advisors.Benefits, • 100% Company-funded health insurance for employee and immediate family, • Company-funded employee life and disability insurance, • $2,000 annual Co-working Travel perk, • $2,000 annual Professional Development perk, • $340 Monthly Commuter benefit, • 401k contribution of 3% of salary (up to IRS limits), • Headphone benefit, home office equipment allowance and wellness perks, • Catered lunches

Job DescriptionAVP, Software Development Engineer in Test OTC Markets Group - New York, NY - Full Time OTC Markets Group Inc., operator of premier US financial marketplaces, is seeking an SDET to join our Technology team. As an SDET, you will be part of an agile team responsible for analyzing product functionality, designing test strategies, and executing test scenarios both manually and through automated test frameworks built with C#, TypeScript, and JavaScript. We value curious, persistent, and technically driven people who take ownership of quality and enjoy building industry-standard solutions. If this sounds like you, we’d love to talk to you. We invest heavily in employee satisfaction and offer all our employees a highly competitive compensation package. As a dynamic, growing company that fosters an open culture, we emphasize autonomy, responsibility, innovation, and self-discipline. We are looking for someone who wants to make an impressive impact at a company known for its reputation on quality and achievement. Base compensation for this role is up to $155,000 annually, depending on experience. In addition, the position is eligible for our discretionary annual bonus program and equity. What You’ll Do: • Requirements analysis and cross-functional collaboration with development teams to define test cases and acceptance criteria, • Creation and maintenance of test cases across functional, API, and UI testing levels, • Design, build, and maintain scalable test automation frameworks and scripts for functional, API, and UI testing; continuously improve test coverage, stability, and reliability, • Bug lifecycle management, including defect tracking and reporting for both manual and automated test execution, • Participate in code reviews to ensure test quality and adherence to best practices, • Contribute to the continuous improvement of the product test strategy, • Champion shift-left testing practices by engaging early in the development lifecycle, • Support CI/CD pipeline integration for automated test execution, • Additional responsibilities, as assigned.What We’re Looking For:, • 5+ years of experience in QA and test automation, and/or a Bachelor's degree in Computer Science, • Strong understanding of QA processes, methodologies, and the software development lifecycle (SDLC), with the ability to apply them in daily operations, • Experience producing key test assets: test plans, test cases, test reports, and test coverage metrics, • Experience with software testing types: Functional, Integration, Regression, Smoke, End-to-End, Data-Driven, and User Acceptance Testing, • Proficiency in at least one programming language, preferably C#, • Familiarity with CI/CD pipelines and source control systems such as GitHub and Azure DevOps Git, • Basic understanding of networking protocols (TCP/IP, HTTP/HTTPS, REST), • SQL Server experience, • T-SQL, DDL & DML, • Stored procedures, indexes, views, • Familiarity with web front-end technologies:, • HTML, CSS, JavaScript, • Client-side vs. server-side processing, • Clear understanding of the following tech/tools:, • Automation Languages: C#, TypeScript, JavaScript, • Automation Frameworks: Selenium WebDriver, Playwright, ATATA, NUNIT, • API Testing: Postman, REST Assured, • Backend: .NET Core, .NET Framework, ASP.NET, • Database: MS SQL Server, • Backlog Management & Collaboration: Azure DevOps, Jira, • Code Repository: GitHub, Azure DevOps Git, • CI/CD: GitHub Actions, Azure DevOps Pipelines What OTC Markets Offers its Team Members (Why You Should Choose Us): Benefits: • Generous Paid Time Off (PTO), • Health, Dental, and Vision Coverage, • Health Savings Account (HSA), • Flexible Spending Accounts (FSA) Dependent & Healthcare, • Limited Purpose Flexible Spending Account (LPFSA), • Generous Paid Parental Leave Program, • Annual bonus and Stock Incentive Program, • 401(K) Plan - Retirement, • Commuter Transit & Parking Program, • Income Protection (Life Insurance, Short- & Long-Term Disability), • Voluntary Benefits (Accident, Critical Illness, & Hospital Indemnity)Perks:, • Hybrid Work Schedule, • Class Pass Partnership (Fitness & Wellness Programs), • Citi Bike Membership Program, • Mondays – Breakfast Bagels & Wednesdays – Pizza Lunch, • Office Snacks and Beverages OTC Markets Group Inc. (OTCQX: OTCM) operates regulated markets for trading 12,000 U.S. and international securities. Our data-driven disclosure standards form the foundation of our public markets: OTCQX® Best Market, OTCQB® Venture Market, OTCID™ Basic Market and Pink Limited™ Market. Our OTC Link® Alternative Trading Systems (ATSs) provide critical market infrastructure that broker-dealers rely on to facilitate trading. Our innovative model offers companies more efficient access to the U.S. financial markets. OTC Link ATS, OTC Link ECN, OTC Link NQB, and MOON ATS™ are each SEC regulated ATS, operated by OTC Link LLC, a FINRA and SEC registered broker-dealer, member SIPC. To learn more about how we create better informed and more efficient markets, visit . We are an equal opportunity and E-Verify employer and prohibit discrimination and harassment of any kind. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, creed, color, religion, gender, national origin, age, marital status, political belief, physical or mental disability, sexual orientation, military or veteran status, genetic information, family or parental status, gender identity, pregnancy, including childbirth or related medical condition, or any other characteristic protected by federal, state, or local law. We encourage applicants of all ages and backgrounds. Applicants have rights under Federal Law: Equal Employment Opportunity is the Law Polygraph Protection Act FMLA Powered by JazzHR XsEH523fZO

Job DescriptionAbout Us Nourish is on a mission to improve people's health by making it easy to eat well. Nutrition-related chronic disease is the largest and most overlooked crisis in the world. Food can be medicine: working with a Registered Dietitian is one of the most effective interventions available, but <1% of eligible Americans use their covered benefits.Nourish is building an AI-native, patient-friendly healthcare system centered on nutrition that improves outcomes, lowers costs, and helps people live healthier, longer lives. We launched three years ago, are live in all 50 states, and already have thousands of dietitians and hundreds of thousands of patients on the platform.We are growing quickly, have partnered with national health insurance companies and provider groups, and have raised $115M from top-tier VCs including JP Morgan Growth Equity, Thrive Capital, Index Ventures, Y Combinator, Maverick Ventures, Box Group, Atomico, G Squared, and Pinegrove Venture Partners. Our angel investors include world-class healthcare founders from Oscar, Rightway Health, Headway, Spring Health, and Alto Pharmacy, as well as soccer star Alex Morgan and the founders from Olipop and Notion.Learn more about us here and read about our recent Series B here. About the Role: Nourish is looking for talented Senior Backend Engineers to join our fast-growing team! As a key, early member of Nourish's engineering team, you'll play a pivotal role in shaping the future of our core platform. Working side-by-side with engineering, product, design, and analytics, you'll drive the development of critical features that will lay the foundation for years to come. Reporting to the Engineering Manager of your Pod, you'll take full ownership of major parts of the codebase, setting ambitious timelines and leading project deliverables. Whether you're in the Ops or Platform Pod, your contributions will be essential in bringing our product roadmap to life and building scalable technology to transform interactions with patients, dietitians, and insurance companies. This role is full-time and open to remote or onsite/hybrid out of Nourish's NYC office in the heart of Union Square. Check out 'Engineering at Nourish' to learn more about our team and what we've already built! Key responsibilities: • Design, build, and ship cutting-edge products and features at lightning speed without compromising on quality., • Drive continuous improvements in our engineering processes, tools, and systems to scale both our codebase and team productivity., • Collaborate with colleagues across product, design, engineering, and analytics to solve challenging and impactful problems in a data-driven experimentation culture., • Contribute to the estimations, planning and execution of projects, features, and integrations., • Maintain and elevate our existing codebase by developing, releasing, and maintaining backend services and/or infrastructure., • Write clean, fully-tested, high-performance code that sets the standard for excellence.We'd love to hear from you if you:, • Bachelor's or Master's in Computer Science, Engineering, or related field., • 5+ years as a Backend focused Software Engineer, preferably building high-performance internal platforms to streamline internal business operations, developer experience, or devops., • 3+ years utilizing our tech stack (Typescript, Node.js, Prisma, PostgreSQL, AWS) or confidence and excitement about cross-training and up-skilling!, • Do your own stunts and ship fast. You like to build and ship new things, can independently take a project from idea through implementation, and run toward hard problems., • Think work should feel like play. You value a very collaborative, close-knit team and care about having fun and making an impact at work., • Want to be deeply involved in product and design. You are not only passionate about engineering but also have a desire to build a product end-to-end, through the design, coding, testing, and deployment phases. We're an early-stage startup where product, design, and engineering are closely intertwined., • Think from first principles. Ask why, challenge assumptions, and value the right answer over being right., • Nice to Have's, • Startup or Scale Up experience. You have that dog in you; you're resilient and persevere through challenges., • Interviewing Experience. We're quickly growing our Engineering function and expect our Engineers to help us do so!

Job DescriptionINTERNATIONAL FEDERATION OF ACCOUNTANTS (IFAC) During 2024, IFAC shifted its strategic focus to maximizing member value and experience. The Member Value Proposition (MVP) was created and is currently being embedded into all of IFAC’s activities: • IFAC, by connecting and uniting its members, makes the accountancy profession truly global., • IFAC member organizations are champions of integrity and professional quality and proudly carry their membership as a badge of international recognition., • IFAC and its members work together to shape the future of the profession through learning, innovation, a collective voice, and commitment to the public interest.IFAC has traditionally delivered member services from a centralized operating model based in New York. As part of the transformation to a new target operating model, IFAC will move to a global multi-location model, which will greatly enhance our ability to deliver value to member organizations around the world. As part of this shift, we welcome applicants from around the globe to apply and contribute to our mission. IFAC also continues to provide operational and administrative support to the International Foundation for Ethics and Audit (IFEA) through a service-level agreement. IFEA is a separate, independent non-profit organization that houses two international standard-setting boards focused on audit and ethics. POSITION SUMMARY The IT Systems & Applications Lead supports IFAC’s global IT operations by providing technical assistance, maintaining systems and digital tools, and contributing to projects that enhance IT services across the organization. Working as part of the IT team, the IT Systems & Applications Lead role blends deep technical expertise across Microsoft platforms with project leadership, systems integration, networking fundamentals, and security best practices. The position partners closely with vendors and business stakeholders while remaining actively involved in system configuration, troubleshooting, continuous improvement, supporting IFAC’s global workforce and operations, and helps maintain compliance with technology standards and policies. ESSENTIAL DUTIES & RESPONSIBILITIES Essential duties and responsibilities include those that are set out below. Other duties may be assigned to meet business needs. • Provide day-to-day technical support for staff across global locations, including troubleshooting hardware, software, network, and user issues., • Assist in maintaining IT systems, infrastructure, and applications, ensuring they are secure, up-to-date, and operating effectively., • In conjunction with the CFAO and the Head of IT, assist with the development and implementation of IT systems, specifically Customer Relationship Management (CRM) and Content Management System (CMS) in the short term to support secure and scalable operations., • Support the management and tracking of IT assets, maintaining accurate inventories of hardware and software., • Help monitor and maintain cybersecurity measures, including user access controls and compliance with data protection policies., • Assist in managing and coordinating tasks with various external IT service providers to ensure the timely resolution of issues and smooth service delivery., • Lead technical projects involving enterprise applications, cloud migrations, system upgrades, and integrations, to include office technology setups for new locations., • Maintain technical documentation, system configurations, architecture diagrams, and document IT procedures, user guides, and knowledge base articles to support staff and enhance operational efficiency., • Monitor system health, performance, availability, and security posture across enterprise platforms., • Support change management, user adoption, and technical training initiatives., • Help prepare reports on IT system performance, issues, and trends for analysis for Senior Leadership., • Stay current on emerging IT tools, technologies, and best practices relevant to IFAC’s global environment., • Bachelor’s degree or equivalent in Information Technology, Computer Science, or a related field, preferred., • 7+ years of hands-on experience in an Senior systems engineer/administration role, preferably in a global or multi-location organization, preferred., • Solid understanding of IT infrastructure, networks, Microsoft Office applications, and cloud-based solutions., • Experience with Microsoft 365, Exchange Online, Teams, Dynamics 365, Business Central, SharePoint Online, and Entra ID/Azure is highly desired., • Familiarity with cybersecurity controls, data protection requirements, and identity management solutions., • Strong analytical, troubleshooting, and communication skills., • Highly organized, with meticulous attention to detail and the ability to track complex deliverables., • Member-centric mindset, with a proactive and forward-looking approach and commitment to the public interest., • Ability to navigate cultural and jurisdictional sensitivities and work effectively across diverse cultures and levels of an organization., • Strong interpersonal skills, diplomacy, and a team-oriented perspective. IFAC welcomes applicants from all geographical locations, and this role can be remote if outside the NY-Metropolitan area. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At IFAC, compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for candidates in the NY-Metropolitan region is $90,000 to $130,000. IFAC is an equal employment employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Powered by JazzHR H0G8EAJe0V

Job Description Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world. About the Role: We are seeking a Director of Engineering with balanced expertise in core software engineering with knowledge of AI/Machine learning to spearhead our engineering initiatives for innovative products. This role demands a leader who not only has a profound technical grounding in both ML/MLOps and software development but also possesses the strategic acumen to merge these disciplines seamlessly. We aim to find a leader who can drive our engineering team towards excellence in both machine learning innovation and robust software engineering practices. Responsibilities: • Strategic Leadership: Develop and execute a cohesive strategy that equally emphasizes advancements in ML/MLOps and core software engineering practices, ensuring they collectively support and enhance our product's vision and capabilities., • Engineering Excellence: Oversee the development, scaling, and optimization of our ML platform while ensuring the software engineering foundations are solid, scalable, and maintainable. This includes leading efforts in system architecture, API design, data processing, and infrastructure that supports both machine learning and application development., • ML/MLOps Innovation: Guide the team in adopting and innovating in the areas of machine learning model development, deployment, monitoring, and management. Ensure the ML lifecycle is fully integrated with our CI/CD pipelines, Kubernetes, emphasizing automation, reproducibility, and scalability., • Software Development Leadership: Champion best practices in software development, including design patterns, code quality, security, and performance. Ensure that our core software engineering practices enable and enhance our ML capabilities, fostering a culture of excellence., • Team Building and Mentorship: Lead, mentor, and lead a diverse distributed engineering team of software developers, ML engineers, and data engineers. Create an environment that encourages innovation, collaboration, and continuous learning across both software engineering and ML/ML Ops domains., • Experience: At least 5 years of technology experience, with experience in leadership roles managing teams that specialize in both ML/MLOps and core software engineering. Experience with ML metrics observability, workflow orchestration, service release automation, notebook development, and LLM deployment is a plus., • Technical Expertise: A deep understanding of Enterprise Software architecture, design patterns, and modern programming languages coupled with a strong foundation in machine learning algorithms, data modeling, and MLOps practices across the major cloud providers (AWS, Azure, GCP)., • Leadership and Vision: Proven ability to lead, inspire, and grow multidisciplinary engineering teams. A Strategic thinker with the capacity to balance short-term goals with long-term vision., • Collaborative Skills: Excellent communication and collaboration skills, capable of fostering positive relationships across engineering teams and with other business units. Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Powered by JazzHR p6HmY3zZKv