35 jobs found in New York

Our Consumer Bank AI Modeling team develops advanced analytics and machine learning solutions that inform high-impact decisions across field workforce effectiveness, customer engagement, and banker-led growth. As an Applied AI Modeling Vice President in the Consumer Bank AI Modeling team, you will build and deploy advanced AI/ML models that measurably improve banker sales effectiveness and customer outcomes. Your models will help bankers deliver the right outreach at the right time to our customers, driving deposit growth, increasing customer retention, and strengthening relationships. You will operate in a highly governed environment and partner closely with product, UX, operations, and technology teams to translate modeling innovation into field-ready tools that bankers trust and adopt. Job responsibilities Develop and launch AI/ML models that solve complex, ambiguous business problems in Consumer Banking, with emphasis on s ales effectiveness and banker enablement (e.g., lead scoring, propensity modeling, next-best-action/next-best-offer, customer prioritization, retention, and cross-sell) using techniques such as deep learning, causal inference, contextual bandits, reinforcement learning, and constrained optimization. Lead modeling engagements end-to-end, including scoping use cases with business partners, defining success metrics (incrementality, ROI, adoption), building project plans, and working with large, complex datasets to formulate testable hypotheses. Translate model outputs into clear, actionable recommendations for non-technical partners, and produce narratives that drive adoption (why this lead, why now, what action, expected outcome). Partner with governance, risk, and controls teams to expedite fair and thorough model reviews, document model intent and limitations, monitor performance and drift, and maintain adherence to regulatory and model risk management standards. Required qualifications, capabilities, and skills Master's or Ph.D. in a quantitative discipline such as Computer Science, Statistics, Machine Learning, Econometrics, Operations Research, Applied Mathematics, or a related field. 4+ years of hands-on, relevant industry experience developing and deploying AI/ML models in production, including statistical modeling and modern Machine Learning. Proficient in Python with hands-on experience in ML/deep learning frameworks (TensorFlow, PyTorch) and core libraries (NumPy, Scikit-Learn, Pandas). Strong working knowledge of notebooks and cloud-based development/compute. Deep expertise in at least one of the following, with meaningful exposure to at least one other, recommendation/decisioning systems (next-best-action/offer), ranking, and constrained optimization, causal inference and uplift / treatment effect modeling for targeted interventions, online learning approaches (contextual bandits, multi-armed bandits, reinforcement learning), behavioral modeling and human-in-the-loop systems that drive adoption and performance, and demonstrated ability to communicate complex modeling concepts clearly to non-technical stakeholders and drive decisions. Preferred qualifications, capabilities, and skills Ph.D. in a relevant discipline. Experience developing advanced AI/ML models in consumer finance, fintech, retail, marketplaces, or other high-scale customer engagement environments. Experience with at least one of the following, decisioning/online learning libraries (e.g., Vowpal Wabbit, RLlib, Stable Baselines) or large-scale ranking/recommendation tooling, causal inference tooling and experimentation platforms (A/B testing, CUPED, synthetic controls, causal forests, doubly robust methods) Familiarity with behavioral science concepts (choice architecture, friction, habit formation) and designing interventions that are effective and compliant. Experience with Databricks, Snowflake, or similar platforms; strong practical MLOps experience (model deployment patterns, monitoring, drift detection, retraining, and reproducibility). Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

About Bullish Bullish is an institutionally focused global digital asset platform that provides market infrastructure and information services. These include: Bullish Exchange - a regulated and institutionally focused digital assets spot and derivatives exchange, integrating a high-performance central limit order book matching engine with automated market making to provide deep and predictable liquidity. Bullish Exchange is regulated in Germany, Hong Kong, and Gibraltar. CoinDesk Indices - a collection of tradable proprietary and single-asset benchmarks and indices that track the performance of digital assets for global institutions in the digital assets and traditional finance industries. CoinDesk Data - a broad suite of digital assets market data and analytics, providing real-time insights into prices, trends, and market dynamics. CoinDesk Insights - a digital asset media and events provider and operator of a digital media platform that covers news and insights about digital assets, the underlying markets, policy, and blockchain technology. Reports to: Chief Technology Officer The Opportunity Bullish Group is at an inflection point. Across Bullish and CoinDesk, we are reshaping how our business teams work, and AI is central to that ambition. This is a rare opportunity to own that transformation end to end. As Director of AI Enablement, you will define the AI strategy for our business teams and be directly accountable for its execution. You will build and lead the AI Enablement function from the ground up - starting as the first hire, then recruiting the team needed to scale what works. You will partner closely with engineering, who have their own AI tooling and infrastructure, while owning the strategy and delivery for business team enablement. You need the technical fluency to build AI solutions yourself, and the leadership skills to scale them through others. The Role You will own how AI fits into the day-to-day operations of every business team across the group: Systematically finding where AI creates the most value - proactively mapping opportunities across business units, prioritising ruthlessly, and maintaining a pipeline of high-impact use cases Building and shipping AI solutions - from simple copilots to workflow automation to agent-driven orchestration, matching the right approach to the right problem Enabling teams to self-serve - creating the model, tools, and training that let business teams adopt and iterate on AI independently What You'll Do Own the AI strategy for business teams across the Bullish Group and be personally accountable for its delivery Build, configure, and deploy AI workflows and tools directly, setting the standard for quality and speed Drive a structured program that moves fast - prototype, validate, ship what works, kill what doesn't Create a self-enablement model that equips business teams to adopt AI tools independently Build and lead the AI Enablement function from zero - recruit product managers, engineers, and process specialists as the work demands Set clear KPIs for adoption, efficiency, and ROI. Track them rigorously. Course correct when results fall short. Report to the CTO, COO, and executive leadership on progress, outcomes, and strategic direction What You'll Bring 8+ years with a product or technical background, with demonstrated experience driving operational change through technology A track record of personally building and shipping solutions - not only managing their delivery Proficiency with AI workflow automation platforms (n8n, Make, Zapier, or similar) and AI/ML tools (LangChain, OpenAI APIs, Vertex AI, Claude) - able to prototype without waiting for engineering A solid understanding of LLMs, generative AI, and agentic workflows, and how to apply them in a business context Experience working directly with business teams to identify problems, design solutions, and deliver measurable outcomes Strong communication skills - able to influence senior executives and energize frontline teams in equal measure Nice to Haves Experience in digital assets, financial services, or media Background in business process redesign or operational excellence Experience building a function or team from scratch Bullish US LLC & CoinDesk Inc. are committed to offering competitive compensation and benefits. The anticipated base salary for this position is $275,000 - $340,000 + discretionary annual target bonus + performance incentives/benefits. Offered salary will be reflective of job related knowledge, skills and commensurate experience. Bullish is proud to be an equal opportunity employer. We are fast evolving and striving towards being a globally-diverse community. With integrity at our core, our success is driven by a talented team of individuals and the different perspectives they are encouraged to bring to work every day.

At Workada, we're not just labeling data, we're helping improve the technology people use every day. Our work creates the examples and feedback that make advanced systems more accurate, consistent, and useful. What You'll Do Evaluate outputs from AI models, text, images, video, and documents against detailed criteria. Assess quality, spot errors and inconsistencies, and write clear, well-reasoned justifications for your judgments. Every evaluation you complete helps these systems perform better in the real world. Who We're Looking For People who write clearly, think critically, and can back up a judgment call with a clear explanation. This role suits people who've done work built around precise written evaluation, UI/UX design, graphic design, photography, video production, editorial or research work, or writing technical specs and requirements. - Strong readers and writers with sound judgment - Comfortable evaluating creative or technical work against a set of criteria - Takes quality seriously and catches what others miss - Can follow detailed written guidelines independently Strong readers and writers with sound judgmentComfortable evaluating creative or technical work against a set of criteriaTakes quality seriously and catches what others missCan follow detailed written guidelines independently Qualifications Technical Requirements What We Offer Remote, flexible contract workClear guidelines and trainingPerformance feedback and opportunities to growA mission-driven team focused on accuracy and quality undefined

Job Summary Muñoz Engineering and Land Surveying, DPC is seeking an energetic and highly skilled Senior BIM & Digital Delivery Lead to drive innovative building information modeling (BIM) and digital project delivery strategies across complex construction projects. This pivotal role combines technical expertise with leadership, ensuring seamless integration of BIM tools and digital workflows to optimize project outcomes. As a key driver of digital transformation, you will oversee the development, implementation, and management of cutting-edge BIM processes, fostering collaboration among multidisciplinary teams. Your passion for technology and construction will empower teams to deliver high-quality, compliant, and efficient building designs that meet client expectations and industry standards. Muñoz Engineering is a multi-discipline engineering, design, land surveying and construction inspection firm with four decades of experience serving New York and New Jersey. Responsibilities Advanced-to-expert proficiency in Autodesk Revit on multidisciplinary AEC projects. Experience using scan-to-BIM workflows, ability to develop Revit models from existing conditions point clouds. Demonstrated experience creating and administering BIM standards, templates, family libraries, shared parameters, and project startup procedures. Strong knowledge of Revit work-sharing, linked-model management, shared coordinates, model performance, and troubleshooting. Advanced Navisworks Manage experience, including model federation, clash-test development, coordination reporting, and issue closeout. Strong understanding of survey coordinate systems and the integration of georeferenced CAD and point-cloud data into Revit. Experience developing or administering BIM execution plans and project-specific delivery requirements. Demonstrated model QA/QC experience. Experience training and mentoring Revit or BIM users. Ability to estimate BIM scope, labor, schedule, and technical risk. Experience with complex commercial, industrial, infrastructure, or high-rise projects. Strong written and verbal communication skills. Portfolio demonstrating relevant work. Requirements Approximately 7-12 years of relevant AEC, VDC, BIM, digital-delivery, or reality-capture experience. At least 5 years of substantial Revit production experience. Demonstrated responsibility for standards, project setup, model reviews, or BIM coordination. At least 2 years of training, mentoring, or technical leadership. Experience on complex, multidisciplinary projects. Experience with scan-derived or existing-condition modeling. Portfolio showing actual deliverables, coordination, standards, and problem-solving. Degree or technical diploma in architecture, engineering, construction technology, surveying, geomatics, drafting, or a related area or equivalent demonstrable experience. Muñoz Engineering and Land Surveying, DPC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, national origin, ancestry, marital status, sex, affectional or sexual orientation, gender identity or expression, or protected veteran status; and will not be discriminated against on the basis of disability. Pay: $130,000.00 - $140,000.00 per year Benefits: Dental insurance Health insurance Paid time off Work Location: In person

The Doctors Company is seeking a Manager Engineering & Sr Data Architect to join our team. This is a hybrid opportunity preferably located at our office in New York City, or any other TDC Group or ProAssurance office location. The Manager Engineering & Sr Data Architect will lead the Data and AI architecture and engineering function as a technical manager with direct accountability for team performance, staffing, talent development, technical direction, and delivery. This is a team leader role that supervises a team of data engineers, analytics engineers, and architects. The role owns Microsoft Fabric architecture, enterprise data and semantic modeling, integration design, and governed AI enablement while building an engaged, capable, and accountable team. Qualifications: Bachelor's or master's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related field; equivalent experience considered. 10+ years of deep enterprise data, analytics, engineering, or architecture experience with accountability for architecture decisions in production. 3+ years directly managing and supervising data engineers, analytics engineers, architects, or similar technical staff, including managing a team through change. Direct accountability for hiring, onboarding, goal setting, performance reviews, coaching, career development, workload planning, succession planning, employee relations, and retention. Hands-on expertise with Microsoft Fabric (OneLake, Lakehouse, Warehouse, Pipelines, Dataflows Gen2, notebooks, Real-Time Intelligence, Power BI, workspaces, security, and capacity governance). Expertise in enterprise data and semantic modeling: conceptual, logical, physical, dimensional, and canonical models; data contracts; Power BI semantic models; lineage; RLS/OLS/CLS; and performance tuning. Strong SQL, Python, PySpark, Delta Lake, batch, CDC, streaming, API, DataOps, automated testing, CI/CD, observability, and cost-management experience. Constructive, solution-oriented leadership and strong executive communication; regulated-industry experience (insurance, healthcare, or financial services) preferred. People Leadership, Performance & Team Development Clearly define and communicate team roles, expectations, and responsibilities. Provide coaching, guidance, and support to help employees achieve performance and development goals Deliver consistent, constructive, feedback to recognize achievements, address challenges, and reinforce desired behaviors. Conduct regular 1:1 meeting and ensure timely completion of performance review cycles, maintaining alignment and accountability. Hold staff accountable for compliance with organizational policies and standards. Foster a culture of continuous learning, innovation, and accountability by encouraging team members to pursue new challenges and opportunities. Model and reinforce organizational values, actively recognizing and celebrating behaviors that exemplify them. Microsoft Fabric Architecture & Platform Delivery Own the end-to-end Microsoft Fabric reference architecture across OneLake, Lakehouse, Warehouse, Pipelines, Dataflows Gen2, notebooks, Real-Time Intelligence, Power BI, workspaces, domains, and capacities. Lead the team delivering foundational Fabric patterns and priority platform components; stay hands-on for high-risk design, prototyping, review, and troubleshooting. Define medallion, batch, CDC, streaming, mirroring, shortcut, deployment, security, monitoring, and capacity-management patterns. Maintain current architecture diagrams, standards, roadmaps, architecture decisions, and implementation guardrails. Enterprise Data, Semantic Model & Integration Architecture Own conceptual, logical, physical, canonical, dimensional, and enterprise semantic model standards across policy, claims, provider, patient safety, underwriting, actuarial, and finance domains. Establish Power BI semantic model standards for measures, calculation groups, naming, certified datasets, reuse, refresh, performance, lineage, ownership, and RLS/OLS/CLS. Define data contracts, model versioning, metadata, glossary, master/reference data, ontology, and knowledge-graph alignment. Design secure integrations across Fabric, Azure, operational systems, content platforms, and external providers using APIs, events, CDC, streaming, files, and batch patterns. Engineering Excellence, Governance, Reliability & Cost Establish Git-based delivery, pull-request review, automated testing, CI/CD, environment promotion, release, rollback, observability, incident response, and operational-readiness standards. Define service objectives and telemetry for pipelines, capacities, semantic models, AI services, and critical data products; lead root-cause analysis and durable remediation without blame. Embed least privilege, secrets management, PHI/PII controls, sensitivity, retention, data quality, lineage, auditability, and responsible AI controls into delivery patterns. Forecast, monitor, explain, and optimize platform capacity, compute, storage, licensing, and vendor cost against business value. Strategic Partnership, Communication & Change Leadership Translate strategy and ambiguous business needs into decision-ready options, recommendations, diagrams, roadmaps, staffing plans, and executable work for technical and executive audiences. Partner with Enterprise Architecture, Security, Infrastructure, Governance, Claims, Underwriting, Actuarial, Reporting, Legal/Compliance, Finance, and vendors to resolve tradeoffs and dependencies. Communicate risks early with context, impact, options, and a recommended action; represent decisions with composure, transparency, and sound judgment. Lead adoption of architecture standards and new ways of working through stakeholder engagement, education, measurement, and reinforcement. Learning, Development, & Compliance Maintain full compliance with all organizational policies, procedures, and established standards (e.g. accurately recording time worked, submitting PTO, mandatory corporate training). Keep technical knowledge and skills current to effectively support department priorities. Complete all performance and development activities - including the performance review process - in a timely manner. Fulfill all required training and development obligations to maintain essential skills and credentials. Complete all mandator compliance courses on time, meeting corporate training standards. Pursue additional learning opportunities that strengthen professional capabilities and contribute to team and organizational performance, with prior manager approval. Other Duties as Assigned Maintain full compliance with all organizational policies, procedures, and established standards (e.g. accurately recording time worked, submitting PTO, mandatory corporate training). Keep technical knowledge and skills current to effectively support department priorities. Complete all performance and development activities - including the performance review process - in a timely manner. Fulfill all required training and development obligations to maintain essential skills and credentials. Complete all mandator compliance courses on time, meeting corporate training standards. Pursue additional learning opportunities that strengthen professional capabilities and contribute to team and organizational performance, with prior manager approval. Salary Range: $124,548 - $163,879. This position is eligible for participation in the Company's Short-Term Incentive Plan (STIP), offering additional compensation driven by individual and company performance. Compensation is determined based on factors such as skills, experience, education, and market considerations. We consider factors such as specialized skills, depth of knowledge in the field, and educational background to ensure fair and competitive pay. Salary may also include additional geographic differential for employees working in higher-cost labor markets, including states such as New York and California. While the posted range reflects our anticipated hiring range, we remain open to considering candidates with exceptional qualifications, specialized expertise, or directly relevant experience that may warrant compensation outside of that range. Benefits We offer competitive compensation, an incentive bonus plan, outstanding career opportunities, an exceptional work environment, and an impressive benefits package, which starts with medical, family and bereavement leave; same-sex domestic partner benefits; short- and long-term disability programs; and an employee assistance program. There's more: Health, dental, and vision insurance Health care tax-free spending accounts with a company match 401(k) and Roth IRA with company match, as well as catch-up plans for both Vacation days, sick days, and paid personal days each calendar year (with vacation increases based on length of service) Paid holidays each calendar year Life and travel insurance Tax-free commuter benefits In-person and online learning opportunities Cross-function career opportunities Business casual work environment Time off to volunteer Matching donations to qualifying nonprofit organizations . click apply for full job details

on a mission to unleash the power of content you in? We've got the brands, we've got the stars, we've got thepowerto achieve our mission to entertain the planet - now all we're missing is YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter - both for our audiences and our employees - and aim to leave a positive mark on culture. Overview and Responsibilities: The Senior Network Engineer role focuses on the implementation and support of reliable, scalable network solutions supporting media and corporate systems. This position is primarily hands-on and technical, working within the broader network architecture and engineering organization to deliver and maintain high-performance, mission critical network services. The role participates in network projects across the full lifecycle and collaborates closely with peer engineers, operations teams, and cross functional partners. Responsibilities Include: Design, implement, and support scalable, highly available routing and switching solutions for media and corporate network environments. Participate in the evaluation and testing of new networking technologies and platforms; provide technical input and recommendations. Work with vendors and internal teams to troubleshoot issues and support hardware/software lifecycle activities. Implement approved network changes following established change management processes, including maintenance windows and validation. Serve as a technical resource for network operations teams, assisting with troubleshooting, incident resolution, and root cause analysis. Create and maintain accurate network documentation, diagrams, and configuration standards. Participate in peer design reviews and technical discussions, contributing feedback and best practices. Collaborate with Level 2 and Level 3 teams to resolve complex routing, switching, firewall, and connectivity issues. Assist with knowledge sharing and technical guidance for junior and mid level engineers during new deployments or upgrades. Escalate issues as needed and work with senior engineers or architects on complex or high impact problems. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent professional experience. Strong experience in IP networking and IP security design and implementation (5-7 years preferred). Hands on experience with major networking vendors such as Cisco, Arista, Palo Alto, NetScaler, or equivalent platforms. Solid understanding of routing and switching protocols (e.g., BGP, OSPF, MPLS). Working knowledge of IP multicast and QoS concepts. Experience using network monitoring and management tools. Experience supporting medium to large enterprise or corporate network environments. Experience in Media, Entertainment, Broadcast, Hosting, or ISP environments is a plus. Experience with Optical Transport networks such as Ciena is a plus. Additional Qualifications : Strong collaboration skills and ability to work effectively within a team environment. Good verbal and written communication skills, with the ability to clearly document technical work. Proven troubleshooting and problem solving skills in production environments. Ability to manage multiple tasks and priorities in a fast paced operational setting. Demonstrated interest in learning new technologies and adapting to evolving network environments. Detail oriented, organized, and committed to producing high quality technical work. Paramount Skydance Corporation (NASDAQ: PSKY) is a leading global media and entertainment company that creates premium content and experiences for audiences worldwide. Driven by iconic studios, networks and streaming services, Paramount's portfolio of consumer brands includes CBS, Showtime Networks, Paramount Pictures, Nickelodeon, MTV, Comedy Central, BET, Paramount+, and Pluto TV, among others. Paramount delivers the largest share of the U.S. television audience and boasts one of the industry's most important and extensive libraries of TV and film titles. In addition to offering innovative streaming services and digital video products, the company provides powerful capabilities in production, distribution and advertising solutions. ADDITIONAL INFORMATION Hiring Salary Range: $98 000.00. The hiring salary range for this position applies to New York City, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible. What We Offer: Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: Generous paid time off. An exciting and fulfilling opportunity to be part of one of Paramount's most dynamic teams. Opportunities for both on-site and virtual engagement events. Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace. Explore life at Paramount: Paramount is an equal opportunity employer (EOE) including disability/vet. At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access as a result of your disability. You can request reasonable accommodations by calling or by sending an email to . Only messages left for this purpose will be returned.

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the Team A highly scalable and highly available real-time advertising platform is crucial for supporting and growing Roku's advertising business. The mission of the Ad Engineering Team is to build this platform. We are hiring a Senior Software Engineer for the Advertising Platform to play a vital role in this mission. If you bring extensive experience building complex systems, love great technology at scale, enjoy mentoring, jumping in, and figuring things out in any system, this role is for you! About the Role Roku pioneered TV streaming and continues to innovate, leading the industry. The Roku Channel has us well-positioned to help shape the future of streaming. Continued success relies on investing in Advertising Engineering. The ideal candidate will possess endless curiosity and be able to pair a global mindset with locally relevant execution. The successful candidate will demonstrate a balance of hard and soft skills, including the ability to respond promptly to evolving business needs. Building a real-time, highly scalable, and available advertising platform is critical for our success. Our team's mission is to build a best-in-class advertising platform to support and grow Roku's exploding ad business. Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy. For New York Only - The estimated annual salary for this position is between $195,000 - $408,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. How will I use AI at Roku? At Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We're looking for curious, adaptable builders who can show how they've used AI or automation to move faster, raise the bar, and scale their impact. We value your AI skills if you have built fluency across the agentic engineering toolchain - coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you. What You'll Be Doing Work alongside a highly skilled engineering team to design, develop, and maintain large-scale, highly performing, real-time applications Own building features, driving directly with the product, and other engineering teams Demonstrate excellent communication skills in working with technical and non-technical audiences Be an evangelist for best practices across all functions - developers, QA, and infrastructure/ops Be an evangelist for platform innovation and reuse Deliver top-quality software in a timely fashion We're Excited If You Have 10+ years of experience building large-scale and low-latency distributed systems Command of Java or C++ Solid understanding of algorithms, data structures, performance optimization techniques, object-oriented programming, multi-threading, and real-time programming Experience with distributed caching, SQL/NoSQL, and other databases is a plus Experience with Big Data and cloud services such as AWS/GCP is a plus Experience in the advertising domain is a big plus B.S. or M.S. degree in Computer Science, Engineering, or equivalent Self-motivated individual with a high level of accountability and ownership Critical thinking and practical decision-making Can do, results-oriented mindset Nonpolitical, collaborative, and team-oriented Desire to win in a highly competitive industry AI literacy and curiosity. You have either 1) tried Gen AI in your previous work or outside of work or 2) are curious about Gen AI and have explored it What's Roku's approach to hybrid working? Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance. What are some of the benefits? Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to . What should I know about Roku's culture? Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing .

About Invisible Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world's top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology. About The Role As a Senior Software Engineer, Forward Deployed Engineer (FDE) you'll work directly with clients and our internal delivery teams to build and deploy AI-powered solutions that transform how work gets done. You'll own projects end-to-end: scoping ambiguous problems, prototyping AI workflows, and deploying scalable systems on top of our products - all while interfacing with technical and non-technical stakeholders. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate. What You'll Do Collaborate with delivery leaders to scope technical solutions to operational problems Identify workflow optimizations through deep engagement with customer problems and work to build into a stable and scalable solution Design and implement AI-powered workflows using LLMs, embedding models, retrieval systems, and automation tools Translate messy real-world constraints (e.g., inconsistent data, latency requirements) into elegant engineering solutions Iterate quickly based on real-time feedback from operators and clients Build reusable tooling and infrastructure that accelerates future deployments What We Need 6+ years of software engineering experience, including significant time spent building data, ML, or backend systems Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS) Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes Strong product and system design instincts - you understand business needs and how to translate them into technical architecture Experience building usable systems from messy data and ambiguous requirements Excellent communication and client-facing skills; you've led conversations with technical and non-technical stakeholders alike Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments Be willing to be on-call for our customers when situations arise Travel: Willingness to travel for on-site client engagements as needed Onsite: Available to work from the office a few days per week, depending on team needs - some NYC-based teams require 3 days per week onsite; your specific requirement will depend on the team you're placed with What's In It For You Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. The annual salary range for this position, depending on level, is: $180,000 - $264,000 USD You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living. Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. What It's Like to Work at Invisible: At Invisible, we're not just redefining work-we're reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what's possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won't just execute tasks-you'll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI. We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We're not for everyone, and we're okay with that. If you're looking for predictable routines, this isn't the place for you. But if you're driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you'll fit right in. Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process. AI Interviewing Guidelines: Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates. Accessibility Statement: We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request. Here is the link the google form: Equal Opportunity Statement: We're an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law. Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.

SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We are seeking a seasoned Senior Network Security Engineer to join our dynamic security team. The ideal candidate will possess deep expertise in network security technologies, focusing on switching and routing systems within cloud-native and AI-focused infrastructure. You will thrive in a fast-paced, challenging environment, demonstrating adaptability, excellent multitasking skills, and the drive to tackle complex security issues independently while ensuring robust protection for our innovative technologies. RESPONSIBILITIES: Serve as a subject matter expert in network security, particularly firewalls, VPNs, IDS/IPS, routing protocols (e.g., BGP, OSPF), and switching technologies. Manage and update firewall configurations across our enterprise network to align with operational and security needs. Deploy new firewalls, switches, routers, and network security devices in response to evolving threats and demands. Develop and propose innovative network security solutions to address operational challenges in routing and switching environments. Enhance security processes through thorough documentation and change management. Act as the primary resolver for complex network security issues, including escalation support. Ensure network security systems, switches, and routers are up-to-date with patches, firmware, and maintenance. Monitor and respond to security events in cloud environments (e.g., AWS, GCP, Azure, Datacenter), with emphasis on network traffic analysis. BASIC QUALIFICATIONS: Bachelor's degree in Computer Science, Cybersecurity, Information Systems, or a related field. 4+ years of experience in network security engineering, with hands-on focus on switching and routing. Certifications like CISA, CRISC, CGEIT, Security+, CASP+, or similar preferred. Strong understanding of network security principles, protocols (e.g., TCP/IP, VLANs, ACLs), and best practices for secure routing and switching. Proficiency in at least one major cloud platform (AWS, GCP, or Azure) and its network security services (e.g., VPCs, Security Groups). Experience with network analysis tools such as Wireshark, tcpdump; and vendors including Cisco, Juniper, Palo Alto Networks. Familiarity with scripting languages (e.g., Python, Bash) for automation of network security tasks. PREFERRED SKILLS AND EXPERIENCE: Relevant network-specific certifications (e.g., CCNP Security, CCIE Security, JNCIP-SEC, PCNSE). Experience in multi-cloud environments and Infrastructure as Code tools like Terraform for network provisioning. Knowledge of DevSecOps practices tailored to network security integration. Experience building custom tools or integrations for enhancing network security operations. Interest in leveraging AI for network threat detection and automation. Contributions to open-source projects in network security or related tools. ITAR REQUIREMENTS: To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. 1157, or (iv) Asylee under 8 U.S.C. 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. COMPENSATION AND BENEFITS: $100,000 - $258,000 USD Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you're passionate about developing your career, while helping others along the way, come join the Broadridge team. Broadridge Asset Management Solutions Broadridge Asset Management is a premier provider of investment software, supporting over 600 clients across hedge funds, CLO managers, private credit funds, fund administrators, asset owners, and traditional asset managers. We are seeking a technically strong Product Owner to help drive the evolution of our public and private credit capabilities across our asset management software suite. Role Overview As a Product Owner, you will play a pivotal role in shaping the future of Broadridge's investment technology. Partnering closely with the Head of Product, you will influence how clients leverage our platform to streamline investment workflows-from research and order management to portfolio management, accounting, and data & analytics. You will collaborate cross-functionally with clients, engineering, UX/UI design, QA, client services, and business stakeholders to deliver high-impact solutions that enhance productivity, reduce operational risk, and improve efficiency across the investment lifecycle. In this role, you will serve as a highly proficient member of the product team, bridging the gap between Product Management and Engineering. Responsibilities Partner with product leadership to shape and execute product strategy and roadmap Maintain a pulse on industry, market, and technology trends to identify opportunities for innovation and client value Own the delivery of new features and workflows across Broadridge's credit investment suite, including syndicated loans, private debt, and CLO management Serve as the embedded Product Owner within agile squads, driving sprint planning, backlog grooming, and execution Collaborate with engineering to design scalable, reusable solutions Author clear, actionable epics, user stories, and non-functional requirements (NFRs) using best practices (INVEST, MVP, steel threads) Oversee end-to-end release processes, ensuring timely, high-quality deployments across environments Conduct hands-on testing, document issues, and uphold product quality standards Champion continuous improvement and operational excellence across the product lifecycle Provide adaptable support across client demos, product documentation, and business analysis Experience gathering customer input directly via user interview, client forums, or other discovery activities Your Profile 5+ years of experience as a Product Owner or Business Analyst in financial technology Understanding of private equity or private credit operations, accounting, or fund structures Bachelor's degree in finance, computer science, technology, or a related field Proven ability to translate complex business needs into detailed product requirements Familiarity with Broadridge SentryPM is a strong plus, or other Syndicated Loan, Private Credit, or CLO investment systems Experience working in agile scrum environments with globally distributed teams Self-starter with strong organizational skills and the ability to manage multiple priorities in a fast-paced setting Proficiency in modern product development methodologies; roadmap, sprint planning and backlog management Skilled in Microsoft Office, Jira, Confluence; SQL experience is a plus Excellent communication, leadership, and problem-solving abilities build consensus. Compensation Range: The salary range for this position is between $130,000.00-$150,000.00. Broadridge considers various factors when evaluating a candidate's final salary including, but not limited to, relevant experience, skills, and education. Bonus Eligibility: Bonus Eligible Benefits Information: Please visit for information on our comprehensive benefit offerings for this role. All Colorado employees receive paid sick leave in compliance with the Colorado Healthy Families and Workplaces Act and other legally required benefits, as applicable. Apply by clicking the application link and submitting your information. The deadline to apply for this role is April 15th, 2026. We are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company-and ultimately a community-that recognizes and celebrates everyone's unique perspective. Use of AI in Hiring As part of the recruiting process, Broadridge may use technology, including artificial intelligence (AI)-based tools, to help review and evaluate applications. These tools are used only to support our recruiters and hiring managers, and all employment decisions include human review to ensure fairness, accuracy, and compliance with applicable laws. Please note that honesty and transparency are critical to our hiring process. Any attempt to falsify, misrepresent, or disguise information in an application, resume, assessment, or interview will result in disqualification from consideration. US applicants: Click here to view the EEOC "Know Your Rights" poster. Disability Assistance We recognize that ensuring our long-term success means creating an environment where everyone is welcome, where everyone's strengths are valued, and where everyone can perform at their best. Broadridge provides equal employment opportunities to all associates and applicants for employment without regard to race, color, religion, sex (including sexual orientation, gender identity or expression, and pregnancy), marital status, national origin, ethnic origin, age, disability, genetic information, military or veteran status, and other protected characteristics protected by applicable federal, state, or local laws. If you need assistance or would like to request reasonable accommodations during the application and/or hiring process, please contact us at or by sending an email to .

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry's most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean's agentic capabilities - AI agents that automate real work across teams by accessing the industry's broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World's Most Innovative Companies (Top 10, 2025), by CNBC's Disruptor 50, Bloomberg's AI Startups to Watch (2026), Forbes AI 50, and Gartner's Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we're helping the world's largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you're excited to shape how the world works, you'll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: You'll join as a founding member of Glean's forward deployed team and operate with the autonomy and accountability of a founder. Your job is to discover and build Glean's next generation of product surfaces, working in a pod with Forward Deployed PMs directly with the C-suite of the world's most influential companies and with Glean's own engineering and product teams. Glean is a fully horizontal AI platform - and that scope is what makes this role unique. You won't be configuring existing products or optimizing within defined constraints. You'll identify the biggest unsolved business problems at our most strategic customers, build entirely new products to solve them, and in doing so shape what Glean becomes. The best of what you build ships to every Glean customer in the world. You get founder-level ownership with Glean's resources, relationships, and scale behind you. You will: Discover and build Glean's next product surfaces: Your primary job is 0-to-1 product creation. Nothing about what you're building is predefined - you'll work with your FDPM to identify where Glean's platform can be extended to solve problems no product currently solves, then design and ship it. What you build becomes what Glean ships. Lead deep opportunity discovery: Before you write a line of code, you go deep on the business. What's structurally broken? Where is the biggest concentration of unsolved value? What's actually buildable, and what's the fastest path to something real that can be tested and learned from? You'll form strong hypotheses alongside your FDPM and pressure-test them directly with the people who have to live with the outcome. Be a technical partner to the C-suite: You'll earn trust at the highest levels of your customer organizations - not just with technical teams, but with the executives who are accountable for outcomes. You can explain what you're building, why it will work, and what the risks are to anyone in the room. Scale what works Once something works, you'll make it repeatable - working closely with the core R&D team to ensure the product is scalable Stay at the frontier with Glean's R&D team: You'll work closely with Glean's core engineering and product teams, staying ahead of what's possible on the platform and actively shaping how its capabilities evolve. What you encounter in the field directly informs what gets built next. About you: You think like a founder. When you walk into a customer, you're curious about the business, digging into what's broken, and figuring out what to build that doesn't yet exist. You're scrappy and resourceful, you move fast enough to learn, and you're as comfortable in a strategic discussion with a CEO as you are deep in a codebase. You've shipped actual products that real people use, that drove real outcomes - and you want to do it at a higher level of ambition. 0-to-1 build track record: You've built production software from scratch in ambiguous environments. You can point to something that didn't exist before you showed up and is now used by real people at scale. Production AI experience: You've shipped AI-powered solutions in the real world - prompt engineering, agent development, evaluation frameworks, deployment at scale. Not just prototypes. Full-stack technical depth: Strong programming skills across the stack with a deep understanding of and experience with how enterprise systems actually work. Business acumen: You can walk into a customer, identify where the real problems are, and connect that diagnosis to a product hypothesis - without being handed a brief. Customer instinct: You build trust quickly at every level of an organization, communicate with clarity, and know how to tailor your depth to the room. Builder's judgment: You know what's actually buildable, how long it will take, and when to simplify scope to get something real into production faster. You spot problems early and solve them independently. Curiosity and scrappiness: You're driven to understand problems deeply before solving them, and resourceful enough to find a path forward when none is obvious. Experience: 4+ years in technical roles with a track record of shipping production software. Former technical founders are strongly encouraged to apply. Willingness to travel: This role requires 25-50% travel. Nice to Have: Experience as a founder, at a top-tier technology company, or in a forward deployed engineering role. A technical degree in CS, engineering, math, or a related field. Deep familiarity with LLMs, retrieval systems, and evaluation frameworks. Experience driving technology adoption inside large enterprises. Location: This role is hybrid (3-4 days a week in our NYC office) This role requires 25-50% travel Compensation & Benefits: The standard range for this position is $160,000-$270,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Special Note: This range encompasses varying levels of the role, you will be assessed for your level during the interview process. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today - prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement. By clicking "Submit Application," I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms.

Team You will work as part of the Leucadia Asset Management (LAM) Technology team for Jefferies. The team provides solutions and support for the asset management business specific to the portfolio management platform and related systems in that environment. Role Support the Geneva platform and related environment. This will involve integrating with the Geneva system for inputs, outputs, reporting and downstream applications. You will work as part of a team supporting the application and closely with business users on new requests and requirements. Key Responsibilities The key responsibilities are: Work on one or more projects of moderate to advanced complexity Assist with the development of new modules within the existing framework of Windows applications Effectively document and communicate assigned work and progress Tests programs to ensure quality and expected results prior to deployment in production environment Resolve production Issues on a timely fashion Qualifications Required: 5+ years of development experience using C# & .NET framework 3.5 / 4.0 as full stack developer. Experience building C# Console and windows applications for data processing. Experience in Microsoft SQL Server and design/architectural patterns (e.g. Model-View-Controller (MVC) Familiarity or working experience of Web API, REST & SOAP web services. Knowledge of Unix/Linux and shell scripting. Proficient understanding of database (MSSQL), including T-SQL, Stored Procedures, etc. Knowledge of Hedge Funds and Investment Banking preferably Buy Side. Self-motivated with the ability to work independently and with team Strong skills in problem solving and debugging Excellent understanding of general programming concept Have experience with Object-Oriented Design (OOD) in .NET development. Nice to Have: Basic understanding of trade flow processes and security master setup/configuration across various asset classes: ie; listed equities/ equity swaps / FX / CDS and IRS / Bank Debt / bonds and ABS. Experience with Geneva Geneva Accelerators and REST APIs Geneva RSL, SQL reporting and shell scripts Geneva Data Loader and xml formats Primary Location Full Time Salary Range of $150,000 - $170,000. Jefferies is a leading global, full-service investment banking and capital markets firm that provides advisory, sales and trading, research, and wealth and asset management services. With more than 40 offices around the world, we offer insights and expertise to investors, companies, and governments. At Jefferies, we are committed to building a culture that provides opportunities for all employees regardless of our differences and supports a workforce that is reflective of the communities where we work and live. As a result, we are able to pool our collective insights and intelligence to provide fresh and innovative thinking for our clients. Jefferies is committed to creating and sustaining a workforce that welcomes individuals from all backgrounds to apply. Our employment decisions are made without regard to race, creed, color, national origin, ancestry, religion, pregnancy, age, medical condition, physical or mental disability, marital status, domestic partner status, sex, sexual orientation, gender, gender identity or expression, veteran or military status, genetic information, reproductive health decisions, or any other factor protected by applicable law. We are committed to hiring the most qualified applicants and complying with all federal, state, and local equal employment opportunity laws. As part of this commitment, Jefferies will extend reasonable accommodation to individuals with disabilities, as required by applicable law. The salary offered will take into consideration an individual's experience level and qualifications. In addition to salary, Jefferies Financial Group is proud to offer a comprehensive benefits package to eligible, full-time employees or part-time employees, who are scheduled to work at least 30 hours or more per week, including an annual discretionary incentive and retention bonus, competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Jefferies also offers paid time off packages that include planned time off (e.g., vacation), unplanned time off (e.g., sick leave), and paid holidays, and for full-time employees, paid parental leave.

Who is Prosek? We are entrepreneurial. Prosek is one of the largest independent communications and marketing firms in the U.S., with offices and strategic partners across the country and worldwide. We are specialized. Prosek provides unparalleled expertise for some of the most notable brands in financial services, professional services, and beyond. We are people centric. Our teams work together in a collegial atmosphere that breeds professional respect and friendship. We are award-winning. Join an "Army of Entrepreneurs" that was recently named 2026 Global Agency of the Year by PRovoke Media. Overview: We're currently seeking a Vice President to join our growing Data and Analytics team. The Vice President (VP) plays a critical leadership role on the team and across the firm. You are expected to have the skills and behaviors needed to up-level client work, build culture and drive growth for the firm. While you should be a big-picture thinker, you also need to be able to lead and inspire teams to turn big ideas into action. Most of all, you need to be an incredible people manager who enjoys developing and mentoring junior staff, a critical aspect of our growing team. In this role, you must be an expert in research and analytics across communications channels, skilled at leveraging AI and adept at extrapolating data to find the "so what" for clients. This candidate will be expected to conduct primary and secondary research to inform strategy, monitor earned, social and owned activity across relevant platforms and develop insightful and actionable reports for executives. At Prosek, everyone is expected to be a strong team player, participating in brainstorming and creative strategy planning for clients and internal projects. Our culture is built around being an "Army of Entrepreneurs," and we encourage everyone to embrace that and be the "writer of their own story." What you'll be doing: Lead integrated client teams to ensure data-driven planning, execution and content development Serve as a strategic counselor and lead day-to-day client contact for key client relationships Oversee and manage research and analytics projects independently including, but not limited to: Creation and implementation of measurement frameworks and research methodologies Global qualitative and quantitative research studies (i.e., writing questionnaires, overseeing data collection, analyzing results) Media monitoring, predictive risk and crisis assessment Whitespace analyses (i.e., competitive and media landscape analysis) Narrative intelligence Influencer identification and vetting Audience analysis AI analytics Development of new business proposals Presenting data and insights to tell a clear and compelling story of impact Develop and mentor reports through coaching, consistently providing feedback, holding them accountable, conducting their reviews, and overseeing their professional development Demonstrate an expert understanding of the data & analytics space and communications, your client's industries, competitive environments, businesses and business plans Serve as a day-to-day team/client contact and lead team's work including reviewing and editing all client materials Provide solutions and suggestions to senior staff about how to troubleshoot client-related problems and help team respond to crisis situations Manage financial operations for client accounts; oversee creation and ongoing monitoring of program budgets Be responsible for reviewing and editing all written materials developed by account team and assist team members with fine-tuning their writing skills Manage the flow of account work among junior team members to ensure that client objectives are met Act as "champion" of the team and ensure that the staff is motivated, engaged and working to potential and proactively give team members feedback Contribute to new business development, including leading RFP responses, proposal writing, client pitches and prospecting Become involved in recruiting and evaluate potential new hires to determine if they would work well with Prosek What makes you qualified: 10-12 years of experience Strong command of data & analytics measurement and monitoring tools (including Talkwalker/SignalAI or similar platforms, StatSocial) Expert understanding of primary quantitative research Strong statistical, writing and presentation skills Strong eye for detail Experience in financial services, professional services, technology and/or B2B communications Ability to manage cross-functional integrated teams and form relationships across digital, creative, content and PR Adept in Microsoft Suite (Outlook, Excel, PowerPoint, etc.) Experience vetting and selecting research vendors and managing project budgets Experience in data integration and visualization platforms and practices preferred, but not required (Looker, Tableau, PowerBI, Python, etc.) Readiness to deliver excellent client service and be a member of a growing team Ability to maintain and grow the collective culture and value of the Data and Analytics team and Prosek as a whole What are the perks? 401(k) employer match: There is no time like the present to prepare for your future! Premium healthcare plans, including medical, dental and vision coverage: Your health comes first. Hybrid work model: 3 days in the office, 2 days from home -Pick your own schedule. 2 weeks of remote work per year: You do you! Generous Paid Time Off (PTO) package including birthday PTO: Enjoy life's moments. Custom career opportunities: Choose your own adventure! Our Core Values: Chemistry, Collaboration and Belonging: Our collegial culture inspires people with different perspectives and backgrounds to work towards common goals as we brainstorm, plan and execute on behalf of our clients and to build our business together. Grit and Hustle: We work hard. We roll up our sleeves. We are not precious or pretentious. We do not take short cuts. Instead, we put in the work and do what it takes to get the job done. The Excitement of New Challenges: We view challenges as opportunities and embrace them. They motivate us to learn and grow so that we can be the best versions of ourselves, for our clients and each other. A Workplace with Humanity: We recognize the rigor and demand of our work. We also recognize that life inside and outside of Prosek can be stressful. We work very hard to run our business with a heavy dose of humanity and to make Prosek a safe place where people enjoy the work and each other. Our Beliefs on Culture, Diversity & Belonging: We are committed to building a diverse workforce reflecting and embracing diversity of all kinds - diversity of geography, cognitive diversity, race, ethnicity, age, gender identity, sexual orientation, political affiliation, socioeconomic backgrounds. We believe having teams that represent the broader communities where we live and work creates a culture that celebrates creativity, inclusiveness and teamwork and helps us offer our global clientele of mature and emerging businesses counsel that is dynamic, rich and nuanced. The anticipated salary range for this position is $150,000-175,000. An employee's salary is determined by a range of factors including but not limited to relevant experience, qualifications, skills, seniority, geographic location, performance, and business or organizational needs. The range listed is one component of Prosek's total compensation package for employees. Other rewards may include medical, dental and vision coverage, 401(k) matching, new business commission, paid time off, and other benefits. Prosek Partners 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. Follow us: Website Twitter LinkedIn Facebook Instagram

Alloy is where you belong! Alloy is the AI-powered identity and fraud prevention platform that accelerates onboarding, stops fraud, and scales compliance across the customer lifecycle so financial organizations can grow without limits. More than 900 of the world's leading financial institutions and fintechs trust Alloy for smarter risk management that drives growth. Through our values: Be Bold, Go Fast, Collaborate, and Celebrate Our Differences, we are creating a workplace where you can grow, thrive, and belong. See how we've been continuously recognized and named one of Inc. Magazine's Best Workplaces, Forbes America's Best Startup Employers, Best Fintech to Work for by American Banker, year after year. Check out our investors and read more about us here. About the team The Signals team builds Alloy's real-time machine learning systems at scale. Our immediate focus is on fraud detection, where we believe machine learning can simplify and accelerate decision-making in ways traditional rule-based systems can't. Managing rules and policies to detect fraud is complex and constantly evolving; we use ML to make it smarter, faster, and more adaptive. Our approach is identity-centric, combining signals from a wide range of data sources to build a comprehensive understanding of risk. You will work on advancing our core models while also partnering directly with customers to drive strong outcomes from fraud studies. Alloy operates in a hybrid work environment. We look to foster collaboration and community by having our local employees onsite three days a week. What you'll be doing Contribute to the design, training, and evaluation of machine learning models that power Alloy's fraud detection capabilities. Develop testing plans, metrics, performance reports, and translate findings into actionable recommendations. Support production ML workflows, including feature generation, model training, and monitoring, to ensure models remain accurate and reliable at scale. Document findings and communicate insights to internal teams, contributing to shared learning and continuous improvement. Maintain up-to-date model documentation and support Alloy's model governance processes to ensure transparency and compliance. Stay current with industry trends in applied ML and fraud detection, and contribute to Alloy's mission of making financial services safer and more accessible. Who we're looking for Always building with end-solution in mind. Able to communicate complicated concepts to a non-technical audience without diluting the complexity of the work. Able to build strong cross-functional relationships within Alloy. Naturally curious with a knack for asking tough questions. Solid understanding of core ML concepts such as supervised learning, feature engineering, and model evaluation. A team player. You believe that big things happen when the right people are working together. A fast learner Humble. Mistakes happen and owning them helps us learn and move on quickly You have: 8+ years as an individual contributor in Applied Fraud Research, Data Science, or Machine Learning with a proven track record in a "Solutions" or client-facing capacity. Expertise in working with highly imbalanced datasets and building production-grade Machine Learning models with specific interest in tree-based models. Advanced proficiency in scripting languages like Python and querying languages like SQL Proven ability to wrangle and think thoughtfully about data at scale (processing billions of records). Experience developing metrics and dashboards. Able to communicate their findings effectively to technical and nontechnical members Someone who embodies our shared Alloy values: be bold, get scrappy, collaborate, and celebrate our differences. You have experience in a highly analytical role in fast-paced environments Must be local to Greater New York City. Nice to Haves: Previous experience in financial fraud detection. Advanced Degree (Masters or PhD) in a quantitative field. Experience managing the end-to-end lifecycle of a technical pilot or Proof of Concept. Experience with BI tools like Looker. Experience with modeling on graph structures. We're a lean team, so your impact will be felt immediately, and opportunities will grow as the company scales up. If this all sounds like a good fit for you, why not join us? Alloy is committed to fair and equitable compensation practices. Below is the anticipated starting base compensation range for this role; however, pay may vary depending on job-related knowledge, in-demand skills, relevant experience, and/or geography. In addition to a competitive base salary, this position is also eligible for equity awards in the form of stock options (ISOs) as well as a competitive total benefits package. Your recruiter will be happy to walk you through the details and what compensation could look like for you specifically! This position has a salary range of $212,000, to $251,000. Benefits and Perks Unlimited PTO and flexible work policy Employee stock options Medical, dental, vision plans with HSA (monthly employer contribution) and FSA options 401k with 100% match up to 4% of annual employee compensation Eligible new parents receive 16 weeks of paid parental leave Home office stipend for new employees Annual Learning & Development annual stipend Well-being benefits include access to ClassPass, OneMedical, UrbanSitter, and Spring Health Hybrid work environment: employees are expected to work Tuesdays through Thursdays from our HQ in Union Square, Manhattan. Tasty lunches catered from a variety of local restaurants and frequent employee-organized cultural events contribute to our positive office energy. On Monday/Friday most employees Zoom into work from home while some take advantage of the quieter office. How to apply Apply right here! You've found the application! Alloy is proud to be an equal-opportunity workplace and employer. We're committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status. We are committed to an inclusive interview experience and provide reasonable accommodations to applicants with visible and invisible disabilities. We encourage applicants to share needed accommodations with their recruiter. All Alloy jobs are listed on our careers page. Any communication during the recruitment process, including interview requests or job offers, will come directly from a recruiting team member with an email address. We do not use outside applications or automated text messaging in our recruiting process. We will not ask for any sensitive financial or identification information during the recruiting process. If you're ever unsure, please contact us directly via our website before sharing personal information.

At J.P. Morgan Asset Management, you will help shape how digital data powers decisions across our business. You will join a collaborative, data driven team that is modernizing how we measure, understand and optimize client experiences across our digital ecosystem. As a Marketing Delivery Lead, Vice President, Web Analytics & Data in the Digital Performance team, you will own the end to end web analytics product strategy across public websites, mobile applications and advisor facing tools. You will bring together business stakeholders, product managers, engineering teams, Business Intelligence partners and an external analytics agency to ensure that digital data collection is accurate, scalable and actionable. You will combine deep technical knowledge of digital tracking with strategic thinking to translate data into insights and drive continuous improvement in digital performance. You will also help shape and scale AI powered web data solutions that deliver predictive and intelligent analytics to the business. You combine strategic thinking with a strong technical foundation in digital measurement. You are comfortable writing detailed tracking and data layer specifications, simplifying complex analytics concepts for senior stakeholders and partnering with BI and AI teams to build new data driven capabilities. You are organized, collaborative and able to influence across functions, and you set a high bar for yourself and for external partners in delivering high quality analytics solutions. Job responsibilities Define and own the web analytics product roadmap, aligning data collection and reporting capabilities with broader business goals and digital KPIs, and acting as the web analytics subject matter expert. Partner with marketing, digital and product teams to establish measurement frameworks and tracking models that support decision making. Author and maintain comprehensive technical tracking requirements for web, mobile app and advisor tool environments, including event taxonomies, data layer specifications and tagging standards. Conduct QA and validation of tracking implementations to ensure data accuracy and integrity across all digital properties. Stay current on browser privacy changes, cookie deprecation and consent management frameworks, and adjust tracking strategies to remain compliant and resilient. Manage the day to day relationship with the external web analytics agency, including briefing on requirements, setting delivery timelines and holding the agency accountable for quality and deadlines. Review and approve agency deliverables to ensure implementations align with J.P. Morgan Asset Management data governance and compliance standards. Pull, interpret and present performance reports for websites and apps using Google Analytics and other analytics platforms, translating data into clear, actionable insights for stakeholders. Proactively identify opportunities to improve digital conversion, engagement and user experience by surfacing trends, anomalies and optimization opportunities from analytics data. Collaborate closely with Business Intelligence and data science teams to design and scale AI powered web data solutions, including predictive analytics, opportunity identification and automated optimization recommendations. Required qualifications, capabilities and skills 5+ years of experience in digital analytics, web analytics or analytics product management. Deep hands on expertise with Google Analytics (GA4) and tag management platforms. Strong experience writing technical tracking specifications for websites, mobile applications and complex digital tools. Demonstrated ability to analyze and interpret web performance data and present findings to both technical and non technical audiences. Experience managing external vendors or agencies, including scoping work, managing timelines and ensuring quality delivery. Solid understanding of data layer architecture, event tracking and digital measurement frameworks. Familiarity with AI/ML concepts and experience partnering with data science or BI teams on analytics solutions. Excellent communication, collaboration and stakeholder management skills, with the ability to operate in a fast paced, matrixed environment. Experience in financial services or another highly regulated industry. Hands on experience with AI or machine learning tools applied to web data. Knowledge of data privacy regulations (such as GDPR and CCPA) and their implications for digital tracking. Familiarity with BI and data visualization tools. Experience with Adobe Analytics in addition to Google Analytics. Preferred qualifications, capabilities and skills Experience in financial services or another highly regulated industry. Hands on experience with AI or machine learning tools applied to web data. Knowledge of data privacy regulations (such as GDPR and CCPA) and their implications for digital tracking. Familiarity with BI and data visualization tools. Experience with Adobe Analytics in addition to Google Analytics. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

on a mission to unleash the power of content you in? We've got the brands, we've got the stars, we've got thepowerto achieve our mission to entertain the planet - now all we're missing is YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter - both for our audiences and our employees - and aim to leave a positive mark on culture. Job Title: Lead Software Engineer in Test Team: Global Quality Engineering Location: New York City, Los Angeles, San Francisco Overview Paramount Skydance Corp. is seeking a Staff Software Engineer in Test to design, architect, and deliver high-quality, scalable, and reliable automated testing solutions across our enterprise platforms. This senior technical role combines deep Java engineering expertise, advanced test automation, media/streaming domain knowledge, and modern CI/CD practices to accelerate quality, reduce risk, and ensure world-class customer experiences across CTV, SmartTV, mobile, and web. You will be a senior technical leader within the Global Quality Engineering (GQE) organization. You will use and enhance our existing departmental automation framework, define quality strategies, and mentor engineers across GQE to elevate testing maturity and engineering excellence. You will also drive AI-augmented development and testing practices using GitHub Copilot (in-IDE), Cursor, and similar tools. Key Responsibilities Automation Framework Architecture • Enhance and extend our existing Java-based departmental test automation framework supporting API, UI, Mobile, CTV/SmartTV, and integration testing; introduce reusable libraries, utilities, and patterns to improve stability and scale. • Establish scalable patterns for reusable test components, data management, assertions, parallelization, and distributed execution. • Integrate the framework deeply into CI/CD pipelines to support shift-left testing and continuous quality. AI-Augmented Quality Engineering • Champion AI-assisted development and testing using tools such as GitHub Copilot (IDE), Cursor, and LLM-based assistants to improve developer productivity, test authoring velocity, code reviews, and defect triage. • Apply prompt engineering and retrieval techniques to accelerate test case generation, log/telemetry summarization, video-quality anomaly detection, and root-cause analysis. • Evaluate and integrate functional AI capabilities that measurably reduce flakiness, false positives, and triage time within the existing framework. Media & Multi-Platform Quality • Expand automation coverage for video playback, streaming resiliency, DRM flows, SSAI/CSAI ad insertion, captions/subtitles, and content protection. • Validate QoE metrics (startup time, rebuffering ratio, frame drops, video/audio sync, error recovery) across Roku, Fire TV, Android TV/Google TV, Samsung Tizen, LG webOS, Apple TV, iOS/Android mobile apps, and modern web players. • Leverage media tooling such as ffmpeg/ffprobe, Charles/Fiddler, and player inspection APIs for diagnostics and validation. Quality Engineering Technical Leadership • Define technical strategy for automated testing across services, microservices, UIs, mobile apps, and OTT/CTV applications leveraging the departmental framework. • Ensure consistent adoption of engineering best practices, coding standards, and high-quality test development patterns. • Lead the evaluation and adoption of modern automation technologies and quality platforms. Cross Functional Collaboration • Partner with Video Engineering, Playback/Player, Ads/Monetization, CDN/Streaming Operations, and Platform teams to ensure robust validation of streaming experiences and ad workflows. • Collaborate with Product to ensure test coverage aligns to business priorities and quality goals. • Work closely with Platform and Data Engineering to support scalable test environments, quality data, and telemetry. Technical Execution • Design and implement complex automated test suites using Java, Selenium, Appium, JMeter, Locust, REST-Assured, TestNG/JUnit, and related tooling within the existing framework. • Build and optimize testing strategies including API/contract, integration, performance/reliability, and device-level testing for CTV/SmartTV, mobile, and web. • Diagnose and tackle issues related to automation reliability, environment instability, device fragmentation, and system integration. Required Qualifications • 7+ years of experience in software engineering or quality engineering with robust Java development expertise. • Demonstrated experience using and enhancing an existing enterprise/departmental automation framework. • Deep expertise in common test automation tools (Selenium, Appium, Playwright, REST-Assured, TestNG, JUnit, Maven/Gradle). • AI experience (must-have): hands-on use of AI-assisted development tools. This includes tools like Claude Code, GitHub Copilot (IDE), Cursor, or similar. Candidates should also have useful prompt engineering skills for code and tests. LLMs are leveraged for tasks such as generating tests, suggesting code reviews, summarizing logs, and speeding up triage. • Strong knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Argo, Spinnaker) and quality gates. • Proven experience testing media/streaming applications across CTV (Roku, Fire TV, Android TV/Google TV), SmartTV (Tizen/webOS), iOS/Android mobile, and web. • Hands-on validation of HLS/DASH, ABR, DRM, captions/subtitles, and QoE metrics. • Cloud experience (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). • Solid knowledge of software design patterns, data structures, and core engineering principles. Preferred Qualifications • Experience mentoring engineers or leading cross-functional automation initiatives. • Familiarity with observability and APM tools (Grafana, Prometheus, NewRelic, DataDog) and media telemetry(Conviva, MUX, NPAW etc). • Experience with contract testing (PACT), service virtualization, or synthetic media test data. • Exposure to CTV/SmartTV automation stacks and remote device labs. Key Competencies • Technical leadership - ability to guide teams and evolve automation coverage. • Quality mindset - commitment to reliability, maintainability, and continuous improvement. • AI fluency - judgment on where AI adds measurable value in testing. • Systems thinking - knowledge of distributed systems and complex media pipelines. • Ownership - ability to drive initiatives end-to-end with autonomy. Success Metrics • Increased automation coverage across CTV/SmartTV, mobile, and web; reduced manual regression. • Measurable reduction in escaped defects and media playback incidents. • Improved stability and reliability of automated pipelines and device runs. • Faster release cycles through scalable, AI-augmented automation. • Broad adoption and consistent usage of the GQE test framework across teams Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service from Paramount Global, combines live sports, breaking news, and a mountain of entertainment. The premium streaming service features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including BET, CBS, Comedy Central, MTV, Nickelodeon, Paramount Pictures and the Smithsonian Channel. The service is also the streaming home to unmatched sports programming, including every CBS Sports event, from golf to football to basketball and more, plus exclusive streaming rights for major sports properties, including some of the world's biggest and most popular soccer leagues. Paramount+ also enables subscribers to stream local CBS stations live across the U.S. in addition to the ability to stream Paramount Streaming's other live channels: CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment coverage. ADDITIONAL INFORMATION Hiring Salary Range: $124 000.00. The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible. What We Offer: Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: Generous paid time off. An exciting and fulfilling opportunity to be part of one of Paramount's most dynamic teams. Opportunities for both on-site and virtual engagement events. Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace. Explore life at Paramount: . click apply for full job details

CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: The Storage Engine Team at CoreWeave is responsible for the product capabilities and data plane function of CoreWeave's managed storage products. We build reliable, scalable storage solutions with segment leading performance. Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world's most demanding AI workloads. About the role: Design and Implement distributed storage solutions to support scaling data intensive AI workloads. Contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments. Work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency. Lead efforts to improve the reliability, durability, security, and observability of our storage stack. Collaborate with operations teams to monitor, troubleshoot, and improve storage systems in production environments. Set the bar for developing metrics and dashboards to provide visibility into storage performance and health. Analyze telemetry and system data to drive improvements in throughput, latency, and resilience. Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack. Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems. Who You Are: Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field. 8-10+ years of experience working in storage systems engineering or infrastructure. Strong hands-on experience with object storage or distributed filesystems in production environments. Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar. Proficiency in a systems programming language such as Go, C, or Rust. Proficiency leveraging AI tools to augment software development. Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana). Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to grow and push the boundaries of your expertise You're curious about distributed storage and the demands AI/ML workloads You're an expert in data persistence on physical media, high performance data transfer using RDMA, or resilient distributed systems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded. The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details. Role Summary This role is responsible for enabling enterprise wide adoption of Microsoft Copilot, Copilot Studio, and Power Platform AI capabilities across a large, highly regulated financial institution operating multiple Microsoft 365 tenants. The focus is on building scalable platforms, governance frameworks, and reusable architectural patterns that empower business teams and citizen developers to safely leverage AI-rather than delivering isolated, one off solutions. The ideal candidate blends deep technical expertise in the Microsoft AI ecosystem with strong platform architecture and strategic leadership skills, and brings a clear vision for evolving from Copilot driven productivity use cases to advanced, code first AI solution development using Azure AI Foundry. Key Responsibilities Platform Strategy & Enterprise Architecture Contribute to the definition and execution of the enterprise strategy for Microsoft Copilot, Copilot Studio, and Power Platform, ensuring alignment with business goals, security standards, and financial services regulatory requirements. Drive architecture decisions related to Dataverse, system integrations, security models, environment strategy, scalability, and performance. Partner with Enterprise Architecture to define reusable patterns, shared components, libraries, and scalable solution architectures. Establish platform standards, governance models, and Application Lifecycle Management (ALM) practices to enable consistent, secure delivery of AI powered solutions across the organization. Copilot Studio Agent Development & Enablement Design, build, test, deploy, and manage Copilot Studio agents aligned to business processes and user needs. Implement actions, orchestration, and workflows using Power Automate, structured knowledge sources, and governed enterprise data access. Build and refine conversational flows, topics, orchestrations, and generative answers to ensure accuracy, usability, and safe enterprise adoption. Integrate Copilot agents with Microsoft Graph, Dataverse, SharePoint, and other enterprise systems to deliver context aware AI experiences. Power Platform Architecture & Automation Design and develop complex Power Automate workflows, including approvals, exception handling, retries, orchestration patterns, and operational monitoring. Build and manage integrations across Microsoft 365, Dataverse, SharePoint, and external systems using standard and custom connectors. Create reusable enterprise components and patterns (e.g., approvals, notifications, routing, data updates, error handling). Support secure authentication and authorization configurations, including OAuth, app registrations, service principals, and API connections. Azure AI Foundry & Advanced AI Solutions Define governance and architectural approaches for future deployment of workflow based and autonomous agents using Azure AI Foundry. Build production grade agents using the Azure AI Foundry SDK (Python, C#, or TypeScript). Define agent behavior, memory, tools, and reasoning workflows to support intelligent, task driven automation. Implement retrieval augmented generation (RAG) pipelines using vector databases for domain specific knowledge retrieval. Bridge low code Copilot Studio solutions with advanced, code first Azure AI Foundry capabilities to mature the organization's AI development lifecycle over time. API Integration & Data Connectivity Build and consume RESTful APIs and implement tool calling and service orchestration for AI agents. Connect AI solutions to enterprise data sources and APIs to enable real time information retrieval and context rich automation. Extend Power Platform capabilities using Azure services such as Azure Functions and Logic Apps where appropriate. Governance, Security & Responsible AI Collaborate with governance, security, risk, and compliance teams to ensure alignment with enterprise and regulatory standards. Design and deliver solutions that adhere to governance policies, including environment strategy, data loss prevention (DLP), solution packaging, and deployment controls. Ensure AI solutions comply with Responsible AI principles and enterprise AI usage policies, positioning Copilot as a decision support tool rather than a decision maker. Implement guardrails such as content filtering, audit logging, user consent flows, and required governance documentation (use case descriptions, risk assessments, approvals). Citizen Development & Enterprise Enablement Develop and maintain best practice templates, reusable assets, training materials, and standards that enable safe citizen development at scale. Mentor developers, power users, and business teams on Copilot Studio and Power Platform capabilities. Partner with AI Adoption, training, and champions programs to drive broad, responsible Copilot adoption. Participate in workshops to assess current state processes, identify pain points, and prioritize high value Copilot use cases that improve productivity, decision making, and operational efficiency. Performance Monitoring & Continuous Improvement Define and track KPIs for Copilot adoption and outcomes, including productivity gains, quality improvements, user satisfaction, and ROI. Monitor agent performance and continuously refine solutions based on analytics and user feedback. Stay current with emerging Microsoft AI capabilities and evaluate their potential impact and value to the enterprise. Contribute to technical documentation, design artifacts, and solution best practices. Required Qualifications 5-8+ years of experience delivering business applications and automation solutions, including 3-5+ years with the Microsoft Power Platform. 2+ years of hands on experience building agents in Microsoft Copilot Studio, including conversation design and orchestration. Strong programming skills in Python, C#, or JavaScript, with experience building and consuming RESTful APIs. Experience with Azure cloud services and AI workloads, including Azure AI Foundry, Azure OpenAI, and Azure AI Search. Deep knowledge of Dataverse data modeling, security roles, relationships, and enterprise integrations. Solid understanding of LLMs, prompt engineering, RAG, and vector search techniques within the Microsoft ecosystem. Proven ability to lead technical design, establish standards, and operate independently in a large enterprise. Strong stakeholder communication skills with both technical and non technical audiences. Experience in financial services or other highly regulated environments. Bachelor's degree in Computer Science, Software Engineering, or a related field. Preferred Qualifications 2+ years building AI agents using Copilot Studio and Azure AI Foundry. Experience with agentic frameworks such as Semantic Kernel, AutoGen, or Agent Development Kit (ADK). Familiarity with Microsoft Purview and Responsible AI compliance tooling. Experience with CI/CD pipelines using Azure DevOps or GitHub Actions. Knowledge of enterprise Responsible AI governance processes. Microsoft certifications (PL 400, PL 600, AI 102, AZ 305). Demonstrated leadership in piloting or scaling AI and automation solutions. Lean / Agile delivery experience. Education: •Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience "Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position." The typical base pay range for this role is as follows: New York / New Jersey: $127-$205 Non-New York / New Jersey: $127-$188 depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package . click apply for full job details

on a mission to unleash the power of content you in? We've got the brands, we've got the stars, we've got thepowerto achieve our mission to entertain the planet - now all we're missing is YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter - both for our audiences and our employees - and aim to leave a positive mark on culture. Job Posting Title: Sr Live Video Quality Engineer Department: Video Technology Group About Us: Paramount direct-to-consumer is a division of Paramount Skydance Corporation that encompasses both free, paid, and premium streaming services including Paramount+, Pluto TV, CBS Sports Digital and CBS News Digital. Description: Division Overview: The Video Technology Group delivers industry-leading streaming solutions, setting company-wide video standards and enabling premium content delivery to millions daily. The team drives innovation in digital video and supports integration of video delivery systems across all Paramount products. As part of this group, the Live Video Platform team builds and maintains live streaming encoding platforms, manages video processing and publishing workflows, and integrates with CMS and publishing pipelines. This role involves working on high-visibility, mission-critical projects that leverage cutting-edge technologies to deliver exceptional video experiences and maximize user engagement and revenue. Role Details: Do you have a passion for live streaming? Are you a builder that enjoys creating innovative solutions? Do you love to solve problems and continually learn? Do you have a strong background in video streaming and compression? Does sharing your knowledge and collaborating across multiple teams in a DevOps culture sound exciting to you? If you answered yes, then we may be looking for you! Your Day-to-Day: Quality Assurance workflows across a suite of back-end and front-end frameworks Other video QA and software engineers to build, test, and release these video platforms Automation testing across the whole end-to-end video lifecycle, including acquisition, processing, delivery and playback. Development and maintenance of internal automated QA systems, ensuring that QA testing is seamlessly integrated with continuous integration and deployment strategies Define and develop useful metrics and alerts for monitoring live streaming events and proactively identify reliability risks. Mentor and guide engineers, fostering a culture of collaboration and technical excellence. Working with internal services to increase automation of the QA workflow. Reviewing test plans with team members to test across different points in the video pipeline. Analyzing test reports, and thoroughly documenting bugs. Create and maintain detailed, comprehensive, and well-structured test plans and test cases. Monitor and track resolution of defects, coordinating with developers in order to prevent, report, and resolve defects Provide QA support both pre and post deployment including occasional evenings and weekends. Investigate and resolve issues in live streaming workflows by collecting relevant logs and metrics, diving into troubleshooting, and suggesting mitigations. Sitting between developers and internal customer teams to ensure platform reliability, scalability & availability. Working with the development team to test new product features and provide feedback into product development for our video streaming platform. Interfacing with other platform teams to build and test video streaming workflows end-to-end. Key Projects: Aligning test plans to cover Live end-to-end video lifecycle testing. Support Video infrastructure QA and Monitoring for major league launches like UFC, NFL Standardizing regression practices across application platforms and improving automation QA coverage. Qualifications: You have - Experience developing pytest automated test framework (or similar) and familiarity with a range of automated test strategies. Experience working with distributed systems and creating QA strategies to enhance fault-tolerant of such architectures. 7+ years of experience with live streaming video or distributed software QA. Strong troubleshooting skills. Drive issues to resolution and provide root cause analysis if needed. Experience with streaming protocols such as HLS, DASH, CMAF, SRT, Zixi, RTP, RTMP. Experience with modern video & audio codecs such as H264, HEVC, VP9, AV1, AAC. Knowledge and understanding of DRM, SCTE-104/35, Closed Captioning, Digital Ad Insertion. Experience with AWS Media Services (MediaLive, MediaConnect, MediaPackage) and / or competing vendors (Zixi, Unified Origin, ATETE, Harmonic, Bitmovin). Experience with REST APIs and data-interchange formats such as JSON and XML. The ability to successfully work with internal business units & teams with varying technical backgrounds. Strong written, verbal and interpersonal communication skills. Tooling & Ecosystem: Experience with Docker and, preferably, Kubernetes. Familiarity with working within cloud providers (AWS, GCP, OCI) and infrastructure-as-code tools like Terraform. Exposure to building Python REST APIs. We use FastAPI with Celery for distributed task processing. BS degree in Computer Science, similar technical field of study or equivalent practical experience. You might also have - Familiarity of Rust Live streaming operations experience. Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service from Paramount Global, combines live sports, breaking news, and a mountain of entertainment. The premium streaming service features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including BET, CBS, Comedy Central, MTV, Nickelodeon, Paramount Pictures and the Smithsonian Channel. The service is also the streaming home to unmatched sports programming, including every CBS Sports event, from golf to football to basketball and more, plus exclusive streaming rights for major sports properties, including some of the world's biggest and most popular soccer leagues. Paramount+ also enables subscribers to stream local CBS stations live across the U.S. in addition to the ability to stream Paramount Streaming's other live channels: CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment coverage. ADDITIONAL INFORMATION Hiring Salary Range: $124 000.00. The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible. What We Offer: Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: Generous paid time off. An exciting and fulfilling opportunity to be part of one of Paramount's most dynamic teams. Opportunities for both on-site and virtual engagement events. Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace. Explore life at Paramount: Paramount is an equal opportunity employer (EOE) including disability/vet. At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access as a result of your disability. You can request reasonable accommodations by calling or by sending an email to . Only messages left for this purpose will be returned.

For 50 years, Bridgewater has pursued one idea: the world can be understood. Markets and economies follow cause-and-effect relationships-and by understanding them, we think we can beat the markets and generate true uncorrelated returns ("alpha") at significant scale. Our clients include some of the world's most sophisticated institutional investors who turn to us to use our unique insights to solve their biggest problems. Generating alpha at scale is an exceptionally difficult task. It requires predicting the future and doing so better than the millions of other extremely smart, highly motivated people who are trying to do the same. Our investment strategies seek to understand and navigate macroeconomic shifts that drive the world's most liquid markets (bonds, currencies, equities, commodities, credit). These shifts have a very limited sample size (some of them haven't yet happened in our lifetimes). Our approach is to start by digging deep to develop a fundamental cause-effect understanding of the economic and financial relationships that drive markets. We represent this understanding in a model of the world that we call our System-code and algorithms that generate views automatically, by ingesting vast amounts of significantly cleaned data and reflecting the relationships we've learned over decades of intense study and experience. Being systematic allows us to stress-test the quality of our ideas through time, and also helps ensure that at any given point, our positions reflect everything we've ever learned, so that our people can spend all their time focused on compounding on our understanding at a faster rate than markets are learning. This approach requires us to be at the forefront of human-machine collaboration. Since 2012, Bridgewater has aggressively pursued the vision of the artificial investor that can do everything a human can, with computers not just representing the insights but also generating the insights themselves.In 2023, we introduced AIA (Artificial Investment Associate), our fully machine-powered investing strategy. Our learnings in building AIA are now transforming even our human investors' jobs, allowing us to rapidly discover and systemize new insights, and accelerating our transformation toward a fully integrated system that combines the best of human and machine intelligence. Every day we obsessively interrogate our systems against our independent investor insights, and work to evolve our systems to reflect how the world is changing. Beating the markets with this approach requires intense collaboration between brilliant people who constantly push themselves and each other to improve every week, to arrive at the best ideas without ego or politics. We rapidly elevate the best thinkers to greater responsibility. We are looking to hire great talent for our Investment Engineer roles. Does this sound like you? Investment Engineers are the builders behind how Bridgewater's investment ideas become real, running systems. They are equal parts engineer, architect, and toolmaker-designing, implementing, and scaling the technology that turns research insights into daily investment decisions across global markets. We are looking for people with strong software engineering and systems backgrounds-computer science, machine learning engineering, distributed systems, data engineering, or related fields-who want to apply world-class engineering to one of the hardest and most consequential problem domains in the world. Who you are A builder and an inventor. You don't just want to understand how investment systems work-you want to build them, reinvent them, and own them end-to-end. You're already experimenting with new technologies before most people understand them, because you immediately see how they can solve hard problems. You don't wait for a roadmap; you build the first version yourself. And your inventiveness is grounded in real engineering discipline-you know that production-grade craft is what separates a clever prototype from lasting edge. A technologist with range and speed. You stay close to the leading edge of software engineering, data infrastructure, and machine learning tooling. You evaluate new technologies with a sharp eye-not chasing hype, but recognizing when a new framework, paradigm, or platform can meaningfully improve how we build. When a problem demands a tool or technique you haven't used before, you pick it up fast and deploy it with confidence. Analytically sharp, even when your job isn't analysis. You may not be writing the investment logic yourself, but you understand it well enough to implement it faithfully, to spot when something doesn't look right, and to ask the hard engineering questions that surface hidden assumptions or edge cases. You know that the gap between "works in research" and "works in production" is where most value is created-or destroyed. A pragmatic problem solver with high standards. You bring rigor to every stage of the development lifecycle-from scoping and design through testing and deployment. You know when to build for durability and when to prototype for speed, and you communicate those tradeoffs clearly. You don't gold-plate, but you also don't ship fragile systems into environments where reliability matters enormously. Deeply collaborative and low-ego. The problems we solve require tight partnership between engineers, researchers, and investors. You translate fluently between these groups-turning abstract investment questions into concrete system requirements, and surfacing technical constraints that reshape how a problem gets framed. You give and receive direct feedback without defensiveness, and you care more about the outcome than about who gets credit. Driven to understand the domain, not just serve it. You aren't satisfied writing code to spec. You want to understand why a system is built a certain way, what the investment logic is trying to capture, and how the markets it touches actually behave. That curiosity makes you a far better engineer-and over time, a more complete contributor to the investment process. What you'll do Design, build, and own the systems that power our investment process. Our algorithms process vast, diverse data on global economic conditions and translate it into market views and trades every day. You will architect and implement the systems that make this possible-ensuring they are performant, reliable, testable, and built to evolve as our investment thinking advances. Bridge the gap between research and production. You'll take investment ideas, models, and analytical frameworks developed by researchers and associates and turn them into robust, production-grade systems. This means working closely with researchers to deeply understand intent, designing clean abstractions, building thorough test harnesses, and ensuring that what runs in production faithfully reflects what was designed in research. Build and evolve our technology platform. Invest in the shared infrastructure, tooling, and frameworks that make the entire team faster and more effective. This includes data pipelines, execution systems, monitoring and observability, backtesting frameworks, and the developer experience that shapes how quickly new ideas can be tested and deployed. Push the frontier of how we use emerging technology. With the rise of AI-native development tools, large language models, and new paradigms in data processing and systems design, we need engineers who can evaluate these technologies critically and integrate them where they create real leverage-accelerating development velocity, improving system quality, or enabling entirely new capabilities. Operate, monitor, and continuously improve live systems. Your systems trade global markets every day. You will own their operational health-building the monitoring, alerting, and diagnostic tooling needed to ensure they perform as intended, and driving rapid resolution when they don't. You'll use production behavior as a feedback loop to identify improvements in both the technology and the underlying investment logic. What you bring Strong software engineering fundamentals-data structures, algorithms, system design, and a track record of building and shipping production systems Several years of professional experience in software engineering, infrastructure, data engineering, or ML engineering-in technology, finance, or another demanding environment Proficiency in one or more languages commonly used in quantitative systems (e.g., Python, Java, C++) and comfort picking up new tools quickly Experience designing systems that handle complex data processing, real-time or near-real-time workloads, or high-reliability requirements A strong interest in financial markets, economics, or quantitative investing-you don't need a finance background, but you should be genuinely excited to learn the domain deeply A collaborative, low-ego working style and a drive to grow rapidly through direct feedback and hard problems Compensation The total compensation range across these roles is $225,000-$450,000 inclusive of base salary and discretionary target bonus. The expected base salary is typically 50%-75% of the relevant range, depending on team, level, and experience. One of our core priorities at Bridgewater is to enable our employees to build a great life and career, and we believe our benefits are an important extension of that philosophy. As such, currently Bridgewater offers a competitive suite of benefits . click apply for full job details

About Gigs At Gigs, we're building the operating system for mobile services-a platform that lets tech companies embed global connectivity into their products effortlessly. Just as Stripe lets any business add a payment button in seconds, Gigs empowers platforms to weave in connectivity-bridging the traditional world of telecom with modern tech. From fintechs launching mobile services to HR platforms offering work phone plans, we automate provisioning and remove telecom complexity. Our team of around 150 people across the US and Europe, backed by nearly $100 million in funding from Ribbit Capital, Google, and Y Combinator. As one of the fastest-growing tech companies, bringing together early-stage engineers, product builders, and business athletes from companies like Stripe, Airbnb, and Shopify. We're tackling deep technical and regulatory challenges to make connectivity truly seamless. If you're driven by curiosity, creativity, and the chance to shape the future of telecom, we'd love to hear from you. Things We Care About We are building in a highly complex space and tackling a massive problem. We want people who lean in when things get hard. Speed. We move and we ship. We set bold deadlines and treat every week like it matters. Ownership. If you see something broken, fix it. We don't wait for permission. Customer Obsession . Our customers' product is our product. Ambiguity. We're building frontier technology in a complex domain. You'll need sound judgement and good instincts to make decisions without complete information. First principles. We don't ask how things have been done before. We ask why they were done that way at all. The Role Launching a mobile service requires stitching together carriers, regulations, payments, and support across markets. We've built the platform. The next challenge is scaling operations so customers go live smoothly, stay healthy, and their learnings feed back into the product. You will own the end-to-end support experience across the customer lifecycle, from launch readiness and implementation through post-launch optimization. You will partner closely with customers to design and run their support motion, identify the moments that drive contacts and dissatisfaction, and turn those insights into playbooks and improvements that make every new launch smoother and every user experience better. You will operate with high autonomy and report to the Head of Support. This role is for someone who thrives in complexity, communicates confidently with senior customer stakeholders, and uses AI as default leverage to move faster and build better. What You Will Do Be the face of Gigs with customers. Serve as the primary point of contact across pre-sales, implementation, and post-launch. Build the kind of relationships where customers call you first when something goes wrong-because they trust you to fix it. Dig into the data. Track activation funnels, identify drop-off and degradation patterns, run root cause analyses on performance issues. Turn what you find into clear, actionable recommendations-not dashboards that collect dust. Take field insights back to the product. You'll see where the platform breaks in practice before anyone else does. Structure that knowledge and bring it to Product and Engineering in a way they can act on. You're the closest thing to a field reporter we have. Build AI into how you work. Use AI tools to automate recurring tasks, accelerate analysis, prototype lightweight internal tooling, and generally move faster than headcount would otherwise allow. This is a working expectation, not a perk. Know the platform end to end. Get deep into how Gigs works-provisioning, billing, support tooling, connectivity infrastructure. You should be able to explain any part of the system to a customer and diagnose any part of it when it fails. Build what scales. Write the runbooks, design the workflows, and document what you learn so that the next deployment goes faster than the last. What you build should outlast your direct involvement. Keep things moving. Help cross-functional teams stay coordinated and accountable. Unblock what needs unblocking. Reduce friction without creating bureaucracy. What We Are Looking For 4+ years in a demanding operational environment -strategy & operations, bizops, management consulting, technical account management, or somewhere else where you had to figure out how to get hard things done with imperfect information. You've operated under pressure. You know what it feels like to own something that matters. You are self-driven and relentlessly proactive. You don't need someone to hand you a problem definition. You find the problem, form a view on how to solve it, and start moving. We'd rather tell you to slow down than push you to speed up. AI is part of your working stack. You use AI tools daily-for analysis, automation, building internal tooling, accelerating research. You can point to specific things you've built or automated that didn't exist before you made them. This is a working expectation, not a cultural point. You can read the room and the data. Comfortable running SQL, building in spreadsheets, working across BI tools. You can translate a data finding into a business decision and communicate it clearly to technical and non-technical audiences alike. Technically curious. You don't need to be an engineer. But you need to be the kind of person who reads API documentation for fun, asks sharp questions in engineering conversations, and understands enough about how systems work to be dangerous in a good way. Credible with customers. You can run an external meeting with a customer's executive team, manage post-launch relationships with follow-through and care, and represent Gigs in a way that builds trust rather than dependency. High ownership, low ego. You juggle context across multiple workstreams without dropping threads. You take pride in making complex things work reliably, not in getting credit for it. When something is yours, it gets done. Bonus points if You have experience in telecoms, fintech, or B2B SaaS-especially anything touching connectivity, payments, or platform operations. You've worked in a customer-facing implementation or technical account management role and know what good looks like. You've built or improved internal tooling, reporting infrastructure, or automated workflows using AI or no-code tools. Salary Range : $140,000 - $190,000 Work At Gigs At Gigs, we value in-person collaboration. We believe the best ideas, decisions, and relationships are built when teams spend meaningful time together, and our culture is designed around that belief. We support flexibility where it makes sense. Some focused work can be done remotely, and not every role or week looks the same. You should expect regular time in one of our hubs , as well as occasional travel for team workshops, customer meetings, and Gigs Republic, our bi-annual company off-site . Our offices are designed to feel like home-inspired workspaces, with plants, thoughtful tools, and small, tight-knit teams that make collaboration feel natural, energizing, and effective. What We Offer At Gigs, we believe in rewarding excellence. We offer competitive compensation and stock options because we see you as a true partner in our growth. We also provide stipends for your home office or work setup, a budget for learning and development to fuel your career, and of course, a free phone and international data plan Want to learn more about our benefits, hubs, and what it's like to work at Gigs? Check out our Careers page.

Are you ready to make an impact? Applied AI Engineer/Architect West Monroe is seeking an Applied AI Engineer/Architect to lead the design and delivery of enterprise AI solutions that solve complex business challenges. This role serves as the technical AI leader across client engagements and West Monroe assets, defining AI architectures, guiding implementation teams, and helping clients make informed decisions about when to leverage large language models (LLMs), deterministic automation, platform-native AI capabilities, or traditional software engineering approaches. As a Senior Architect, you will provide deep technical expertise, contribute to business development efforts, and help advance West Monroe's AI capabilities through reusable assets, thought leadership, and mentorship. What You Will Do Client Delivery Lead the architecture and delivery of enterprise AI solutions, including model selection, retrieval strategies, workflow orchestration, evaluation frameworks, observability, guardrails, and human oversight. Design and implement AI-enabled applications using LLMs, agents, retrieval augmented generation (RAG), tool integrations, and secure production deployment patterns. Define semantic models, ontologies, business objects, metadata strategies, permissions, and data contracts that enable reliable AI reasoning and enterprise workflows. Advise clients on AI strategy, technical feasibility, data readiness, model selection, governance, responsible AI practices, and implementation roadmaps. Partner with application, data, and cloud engineering teams to integrate AI capabilities into production systems, APIs, data platforms, security architectures, and operational workflows. Establish AI evaluation methodologies using benchmark datasets, regression testing, red-team scenarios, quality metrics, and release criteria to ensure reliable and measurable outcomes. Leverage AI tools to accelerate analysis, synthesize complex information, and support data-driven recommendations for clients, exercising sound judgment in evaluating outputs. Apply AI technologies (e.g., generative AI, automation tools, data models) to enhance insights, improve delivery efficiency, and elevate the quality of client outcomes. Business Development Serve as a trusted technical advisor during pursuits, helping shape AI strategy, solution architecture, and delivery approaches for complex client opportunities. Support proposals, client presentations, and executive discussions by articulating AI capabilities, tradeoffs, risks, and business value. Build credibility in the marketplace through deep expertise in enterprise AI architecture and emerging technologies. Practice Development Develop reusable AI frameworks, accelerators, evaluation methodologies, and reference architectures that strengthen West Monroe's AI offerings. Mentor engineers and architects while sharing technical expertise across project teams. Stay current on frontier AI models, enterprise agent architectures, hyperscaler AI platforms, governance expectations, and secure deployment practices. Contribute to thought leadership, internal capability building, and innovation initiatives that expand West Monroe's Applied AI practice. What You Will Bring 7+ years of experience in software engineering, data engineering, machine learning, applied AI, or technical architecture, including recent hands-on AI engineering experience. Proven experience building production AI solutions using LLMs, AI agents, RAG, prompt engineering, AI evaluation frameworks, observability, MLOps, or machine learning platforms. Strong Python development skills and proficiency in at least one additional enterprise technology stack such as TypeScript, Java, C#, or modern data engineering frameworks. Experience with one or more leading AI ecosystems, including Azure OpenAI, AWS Bedrock, Google Vertex AI, Databricks, Snowflake, Microsoft Fabric, or comparable platforms. Strong understanding of cloud architecture, APIs, identity and access management, security, data engineering, application integration, and production deployment practices. Knowledge of semantic modeling, ontology design, knowledge representation, data governance, and enterprise AI architecture. Ability to communicate AI concepts, technical tradeoffs, and implementation risks effectively to executive stakeholders, business leaders, architects, and engineering teams. Experience integrating AI tools (e.g., ChatGPT) into day-to-day workflows to enhance productivity and insight generation, coupled with strong critical thinking to assess accuracy, mitigate bias, and ensure high-quality outputs. Ability to travel 25 to 50%. A commitment to inclusion and diversity, and openness to new ideas and perspectives. Ability to work permanently in the United States without sponsorship. Based on pay transparency guidelines, the salary range for this role can vary based on your proximity to one of our West Monroe offices (see table below). Information on our competitive total rewards package, including our bonus structure and benefits is here. Individual salaries are determined by evaluating a variety of factors including geography, experience, skills, education, and internal equity. Employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees are able to enroll in our company's 401k plan, purchase shares from our employee stock ownership program and be eligible to receive annual bonuses. Employees will also receive unlimited flexible time off and ten paid holidays throughout the calendar year. Eligibility for ten weeks of paid parental leave will also be available upon hire date. Seattle or Washington, D.C. $236,300-$277,700 USD Los Angeles $247,500-$291,000 USD New York City or San Francisco $258,800-$304,200 USD A location not listed above $225,000-$264,500 USD Other consultancies talk at you. At West Monroe, we work with you. We're a global business and technology consulting firm passionate about creating measurable value for our clients, delivering real-world solutions. The combination of business and technology is not new, but how we bring them together is unique. We're fluent in both. We know that technology alone is not the answer, but how we apply it is. We rely on data to constantly adapt and solve new challenges. Actions that work today with outcomes that generate value for years to come. At West Monroe, we zero in on the heart of the opportunity, getting to results faster and preparing people for what's next. You'll feel the difference in how we work. We show up personally. We're right there in the room with you, co-creating through the challenges. With West Monroe, collaboration isn't a lofty promise, but a daily action. We work together with you to turn vision into clear action with lasting impact. West Monroe is an Equal Employment Opportunity Employer We believe in treating each employee and applicant for employment fairly and with dignity. We base our employment decisions on merit, experience, and potential, without regard to race, color, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by federal, state or local law. To learn more about diversity, equity and inclusion at West Monroe, visit If you require a reasonable accommodation to participate in our recruiting process, please inquire by sending an email to . Please review our current policy regarding use of generative artificial intelligence during the application process. Additionally, West Monroe uses the BrightHire platform to record live interviews so our team can capture notes more accurately, stay focused on the conversation, and continually improve our interview process. You can review our privacy notice for more information about this process and how recordings are used. If you have any questions, reach out to . If you are based in California, we encourage you to read West Monroe's Notice at Collection for California residents, provided pursuant to the California Consumer Privacy Act (CCPA) and linked here.

Summary: As an integral member of the Data Management Team (DMT), the Data Coordinator plays a vital role in maintaining the accuracy, integrity, and effectiveness of program databases. Reporting directly to the Data Manager and the Assistant Data Manager, with additional guidance from the Borough Director, the Data Coordinator is responsible for tracking program discrepancies, managing databases, and identifying data trends that impact program outcomes. This role requires proactive collaboration with the Program Management Team to streamline processes, develop data-driven action plans, and ensure compliance with funder requirements. The Data Coordinator will oversee key data systems, including DYCD Connect, Salesforce, Cityspan, and EZReports, while also driving Continuous Quality Improvement (CQI) initiatives to support organizational goals. Additionally, the Data Coordinator will conduct audits, facilitate quarterly meetings for Data Specialists, and perform site visits to ensure data accuracy and compliance across all sites. Primary Job Functions (but are not limited to): Database Management: Oversee and manage databases for assigned programs, including DYCD Connect, Salesforce, Cityspan, and EZReports. Ensure data is consistently updated, organized, and accurately maintained to support program success. Data Accuracy: Collaborate with site Data Specialists to ensure complete and precise data entry. Proactively identify and troubleshoot discrepancies related to activity and attendance data, implementing solutions to resolve issues efficiently. Reporting & Analysis: Collect, organize, and analyze program data to identify trends, gaps, and areas for improvement. Work closely with the Program Management Team and Data Management Team (DMT) to develop targeted corrective action plans and programming interventions that address identified challenges. Compliance & Communication: Ensure all sites adhere to funder requirements and maintain up-to-date data for compliance purposes. Serve as a consistent point of contact for stakeholders, providing clear communication regarding data issues, updates, and information supporting Continuous Quality Improvement (CQI) initiatives. Audits & Reviews: Conduct regular data audits to validate information accuracy and ensure alignment with DYCD workscopes. Support Program Managers by providing data insights, analysis, and troubleshooting assistance as needed. Support & Training: Provide comprehensive training and ongoing support to site-level Data Specialists. Conduct data audits as needed, facilitate Data Specialist Quarterly Meetings to review updates and best practices, and conduct regular site visits to assess data quality and offer guidance. Support Data Management Team: Assist the DMT with data requests, ensuring prompt and accurate responses. Play an active role in the onboarding and training of new Data Specialists to ensure they are well-equipped to manage site data effectively. Secondary Responsibilities: Data Specialist Support: Maintain ongoing communication with site-level Data Specialists and the Data Management Team (DMT) to provide guidance, address concerns, and troubleshoot data-related issues. Ensure all sites remain compliant with established data protocols and requirements. Program Knowledge: Develop and comprehensively understand each site's program goals, contractual obligations, and operational requirements to provide informed data support and ensure alignment with organizational objectives. Hiring & Onboarding Support: Assist in interviewing and onboarding new Data Specialists. Ensure new staff receive comprehensive training, resources, and support to manage site data and fulfill their responsibilities confidently. Reporting: Generate and analyze reports to assess program performance, identify trends, and track progress against key benchmarks. Collaborate with Program Managers to review findings, provide insights, and recommend data-driven strategies for improvement. Key Interactions: Data Manager Assistant Data Manager Deputy Director Program Management Staff Data Specialists Required Qualifications and Skills: High School Diploma required; Associate's or Bachelor's degree strongly preferred. Proficiency in Microsoft Excel, Word, and Google Suite, including advanced Excel functions. Experience delivering training sessions or facilitating group discussions. Strong attention to detail with a focus on data accuracy. Ability to manage multiple tasks and meet deadlines efficiently. Excellent written and verbal communication skills. Proficient in online databases such as DYCD Connect, Salesforce, CitySpan, and EZReports. Required Experience: 2-4 years of experience in database management, including data entry, analysis, and reporting. Prior experience with DYCD Connect and/or Salesforce is strongly preferred. This role best suits a detail-oriented individual with a strong analytical mindset and exceptional organizational skills. The ideal candidate is committed to driving program effectiveness by leveraging data management strategies, ensuring data accuracy, and implementing continuous improvement initiatives to support informed decision-making and overall program success.

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you've built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year - far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. Explore our Engineering Blog & Emerging Talent Blog to learn more about how we build at Ramp and what it's like to start your career here. About the Role Ramp is, at its core, an engineering company. We're looking for backend engineering interns (12 or 16-week co-ops) excited to solve challenging technical problems and ship products used by real customers. You'll work alongside experienced engineers and own meaningful projects from inception to production. We value strong technical fundamentals, high ownership, and people who learn quickly, whether or not they're familiar with our stack. What You'll Do Build performant, reliable, and scalable systems powering Ramp's products Own meaningful projects from design through launch Solve problems across areas like payments, risk and fraud, financial infrastructure, data, and AI Work closely with product and business teams to understand customer needs and improve our products Contribute to engineering tools and systems that help Ramp scale What You'll Need Currently pursuing a B.S. or higher in Computer Science or a related technical field, graduating December 2027 or later Strong computer science and programming fundamentals Track record of building and shipping high-quality products, features, or projects Ability to turn ambiguous product and business problems into engineering solutions Desire to learn quickly, take ownership, and work in a fast-paced environment Nice to Haves Experience with or interest in Python and backend development Familiarity with or desire to learn our stack, including Flask, PostgreSQL, Temporal, Elixir, and AWS Interest in fintech, AI, or building products at scale Compensation The monthly rate for this internship is $12,500 + a housing stipend. Ramp Benefits Apple MacBook Catered lunches and dinners in our NYC office Monday through Friday Benefits available to all full-time Ramp employees (Global) Flexible PTO Centralized home-office equipment ordering Health and wellness stipend Budget for intra-office travel Weekly coffee stipend United States 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents One Medical annual membership 401(k), including employer match on contributions made while employed by Ramp Fertility HRA (up to $10,000 per year) Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay Pet insurance In-office perks: lunch, snacks, drinks, and more Relocation expense coverage to NYC or SF (if needed) Canada Group medical, dental, and vision coverage through Sun Life Life, AD&D, and disability coverage Fertility drug coverage (up to $4,000 lifetime) Group Retirement Plan with employer match (RRSP + DPSP) Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay Employee Assistance Program and virtual care through Lumino Health United Kingdom Private medical insurance through Freedom Elite Virtual GP and at-home care via eMed x Livi Workplace pension through Penfold, with salary sacrifice option Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay Referral Instructions If you are being referred for the role, please contact that person to apply on your behalf. Other notices Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Beware of recruiting scams: Ramp will only contact you through email addresses and will never ask for payment or sensitive personal information during the hiring process. Ramp Applicant Privacy Notice

About Invisible Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world's top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology. About The Role As a Principal Forward Deployed Engineer (FDE) at Invisible, you'll lead high-impact, AI-powered solutions that reshape how our clients operate their most critical workflows. You won't just build and deploy - you'll drive the strategy, architecture, and execution of end-to-end systems, working directly with clients. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate. The team is increasingly focused on applied AI work - building and deploying LLM-powered and agentic systems in production - so strong ML engineering instincts can be a valuable addition alongside your architecture and leadership experience. What You'll Do Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI-driven solutions, including LLM and agentic systems Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability - including for ML/AI-specific systems like RAG pipelines and production-grade AI applications Own projects from first discovery call through full deployment - including client-facing delivery, internal coordination, and post-launch iteration Build shared infrastructure, reusable components, and internal playbooks to level-up the team, including MLOps practices for model versioning, monitoring, and lifecycle management Coach and mentor mid-level engineers and help shape the culture of forward-deployed AI engineering at Invisible What We Need 10+ years of software engineering experience, including significant time spent building data, ML, or backend systems Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems, including LLMs and AI Agents Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS, Azure) Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes ML Operations (for teams with an applied AI/ML focus): Experience with MLOps frameworks and best practices - model versioning, monitoring, and lifecycle management - and designing scalable ML systems such as RAG pipelines Strong product and system design instincts - you understand business needs and how to translate them into technical architecture Experience building usable systems from messy data and ambiguous requirements Excellent communication and client-facing skills; you've led conversations with technical and non-technical stakeholders alike Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments Strong engineering background demonstrated by a Bachelor's degree in Data Science, Computer Science and related fields OR equivalent professional experience Be willing to be on-call for our customers when situations arise Travel: Willingness to travel for on-site client engagements as needed Onsite: Available to work from the office a few days per week, depending on team needs - some NYC-based teams require 3 days per week onsite; your specific requirement will depend on the team you're placed with What's In It For You Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. The annual salary range for this position, depending on level, is: $250,000 - $300,000 USD You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living. Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. What It's Like to Work at Invisible: At Invisible, we're not just redefining work-we're reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what's possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won't just execute tasks-you'll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI. We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We're not for everyone, and we're okay with that. If you're looking for predictable routines, this isn't the place for you. But if you're driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you'll fit right in. Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process. AI Interviewing Guidelines: Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates. Accessibility Statement: We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request. Here is the link the google form: Equal Opportunity Statement: We're an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law. Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications. Anthropic Labs serves as our internal accelerator. We're looking for the next breakout hits that bring substantial revenue or transform an industry. We operate in close partnership with research and build through fast iteration cycles. Past successes include Claude Code and MCP. We're seeking versatile, entrepreneurial engineers to join Labs. In this role, you'll work at the intersection of cutting-edge research and real-world application, rapidly building and testing new experiences, working directly with researchers and users, and generating the insights that shape Anthropic's product future. You'll need to be comfortable with ambiguity, willing to kill your own projects when the data says to, and energized by the pace of building in uncharted territory. Responsibilities Rapidly prototype full-stack applications that showcase emerging AI capabilities, shipping early and often to maximize learning Collaborate closely with research teams to understand new model capabilities and translate them into intuitive user experiences Work directly with internal test users and external partners to gather feedback, iterate quickly, and validate (or invalidate) product concepts Design and run structured experiments to test hypotheses, balancing creative exploration with rigorous evaluation Generate documentation and insights to guide successful prototypes toward full product teams Advocate for user experience and product considerations early in the research process Provide feedback to research teams about model effectiveness and where capabilities can be improved Flexibly contribute across Labs initiatives based on organizational priorities and emerging opportunities-context from one project should inform the next You may be a good fit if you Have 8+ years of experience building full-stack applications, with a track record of zero-to-one work in startup or startup-like environments Thrive in ambiguity and are energized (not anxious) by uncertainty-you're comfortable working on projects that might not exist in three months Have a hacker mentality: high agency, bias toward shipping, comfort with technical debt when it's the right tradeoff Are deeply user-centric-you validate ideas with actual users before over-investing and talk about problems before solutions Can articulate learnings from failed or killed projects without defensiveness; you treat your work as experiments Hold strong opinions loosely-you advocate forcefully for ideas but change your mind based on evidence Are a generalist who can transition between different problem spaces as priorities shift Work independently with good judgment about what matters, without needing constant direction Have strong technical skills across modern web development stacks (React, Node.js, Python, etc.) and are comfortable with APIs, databases, and cloud technologies Communicate effectively and translate complex AI capabilities into intuitive experiences Care about the societal impacts and ethics of your work Strong candidates may also have Experience building products that involve AI/ML components or working with large language models Experience collaborating directly with research teams in AI/ML environments Background conducting user research, interviews, and usability testing Experience across both B2B and B2C product development, or in multiple industries Design sensibility or hands-on experience with UI/UX for AI-powered applications Experience with real-time applications, WebSocket implementations, or complex frontend interactions What we're not looking for at this stage Deep specialists who can't adapt if their domain becomes irrelevant Engineers who've only succeeded in big-company structures with well-defined processes and long timelines People who are precious about their work or frame all past projects as successes Those who need clear roadmaps and get stressed by shifting priorities Candidates need not have 100% of the skills listed above Formal certifications or education credentials Direct machine learning or AI research experience Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000-$485,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . Please note that this is a 24/7/365 team. You will be asked to select and rank your preferred shift(s) below. What You'll Do: The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution-working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. About the Role: As a Technical Support Engineer - III (Cloud) at CoreWeave, you'll be on the front lines of a technological revolution, empowering our customers to harness the full potential of our advanced Kubernetes-powered HPC cloud infrastructure. You'll be hands-on, collaborating with engineers and researchers to resolve issues that impact high-profile, mission-critical applications and cutting-edge AI training workloads. Your contributions will be pivotal in ensuring seamless performance, reliability, and success for our customers, positioning you at the very core of transformative technologies reshaping industries worldwide at a company that is truly one of a Kind. In this role, you will: Guide and mentor team members in developing their technical skills and troubleshooting capabilities across all disciplines supported by CoreWeave. Provide real-time feedback and coaching, reviewing tickets to identify opportunities for improvement and ensure quality assurance (QA). Develop and deliver training sessions to improve the team's proficiency and efficiency in resolving customer issues. Use technical expertise to investigate, debug, and resolve customer-impacting issues with the curiosity required to uncover and understand root causes. Maintain high customer satisfaction through swift, accurate, and empathetic high-touch support communications, as well as established best practices. Help design and implement troubleshooting best practices to ensure fast, accurate client resolutions. Contribute to refining processes, workflows, and playbooks for handling complex customer challenges. Serve as a technical escalation point for high-priority escalations or complex cases, modeling effective problem-solving approaches. Lead the creation of knowledge-sharing resources, including documentation, tutorials, and how-to guides. Enhance the support team's knowledge of CoreWeave's products and services through continuous learning initiatives. Includes consistent shift work with participation in on-call rotations. Occasional after-hours and holiday coverage required. Who You Are: Have a Bachelor's degree in Information Science / Information Technology, Data Science, Computer Science, Engineering, Mathematics, Physics, or a related field, OR equivalent experience in a technical position At least 5+ years of experience in cloud support, systems administration, or related technical support-focused roles Proven hands-on work experience with Kubernetes Experience with networking, load balancing, storage volumes, observability, node management, High-Performance Computing (HPC), and Linux system administration Proven ability to mentor team members, foster technical growth, and improve team-wide capabilities through guidance and feedback Experience with observability tools such as Grafana Strong troubleshooting skills, with experience resolving complex customer issues and driving quality assurance through ticket reviews or similar processes Demonstrated success collaborating with cross-functional teams to refine workflows, implement best practices, and advocate for necessary tools or process changes Excellent written and verbal communication skills, with a track record of simplifying complex concepts for diverse audiences Strong technical presentation skills, with experience delivering precise, engaging, and informative presentations to technical and non-technical audiences, effectively showcasing complex concepts and solutions Preferred: CKA Certified Demonstrated experience with training, coaching, and creating onboarding materials. Operates in a fast-paced, global, 24/7 support team environment Ability to collaborate across different time zones On-site office environment, hybrid, or remote options depending on location Flexible to travel up to 10% ( 25 days/year) Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to dive into problems, test for solutions, and enjoy engaging with customers. You're curious about AI. You're an expert in providing outstanding technical support and have strong competencies in Kubernetes and Linux. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $122,000 to $163,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S . click apply for full job details

About Nscale Nscale is building the infrastructure platform for the AI era. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers, reducing the complexity of AI development and helping customers manage cost, innovate rapidly, and operate responsibly. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you'll be contributing to building the technology that powers the future. About the Role We are hiring Security Response Engineers to own what happens after an alert becomes real, across enterprise, cloud, production, data centre, and operational technology environments. Agents and a managed security service provider (MSP) hold the level 1 queue. You take escalations, decide fast, act, and then make sure the same class of problem does not come back. Half the job is response. The other half is turning what you learned into engineering work that permanently retires the issue. If you have spent years closing the same ticket every Tuesday-and knowing exactly how to fix it for good, but never having the mandate-this is the job where that is the mandate. How this function works Read this section carefully. It is not a standard SOC, and the difference is the whole point. You do not watch a queue. An in-house security agent and a contracted managed provider hold level 0 and level 1 around the clock. Work reaches you as an escalation with context already attached. Every escalation forks three ways: act, solve, or both. Act is the immediate containment. Solve is the engineering artifact you hand to the build teams so that alert class does not fire again. Most escalations are both. Your primary metric is the share of escalations permanently solved. Not tickets closed, and not mean time to close. If the same alert fires twice, we got it wrong the first time. Two classes, not five. We sort everything into risk indicator or actionable, using the SSVC model. If you have drowned in a five-tier severity scheme nobody trusted, you will like this. Follow-the-sun across hubs. Nobody works permanent nights. What you'll be doing Escalation response Take escalations from the agent and managed provider, scope them against real asset and business context, decide, and act. Execute approved containment, including isolating devices, revoking sessions, restricting access, blocking activity, and preserving evidence. Know what you can do immediately, what requires authority, and what could disrupt production if handled incorrectly. The solve Ensure every escalation exits with an engineering artifact where one is warranted: a detection requirement, telemetry gap with a business case, control change, automation, or regression test. Specify the artifact clearly enough that the team building it can act without a second conversation. You do not build it; you make the required outcome unambiguous. Investigation and evidence Build timelines from primary evidence across identity, endpoint, email, SaaS, cloud, network, production, and increasingly operational technology and building management systems, which are currently dark to us. Close every case with a security disposition, an owner, the evidence, actions taken, and any required follow-up. Detection judgement Review candidate detections auto-authored by our research loop as shadow rules and assess their inside-out coverage. Make the human judgement on whether shadow detections should be promoted to live. You do not write the detection logic, but nothing goes live without your call. Provider quality Reconcile the managed provider's case work, which lives in their platform rather than ours, against our standards. Hold the provider accountable for evidence, analysis, routing, and closure quality. Readiness Contribute to threat hunts, incident reviews, tabletop exercises, recovery tests, the on-call rotation, and keeping runbooks honest. First 90 days Independently own escalations across common classes, with defensible dispositions and evidence that stands up. Ship your first solve: an engineering artifact that permanently retires a recurring alert class. Learn the incident command, escalation, evidence, and handover model, and take a rotation slot. Review the managed provider's case quality against our standard and raise the first reconciliation findings. Judge and promote your first shadow detections to live. Take part in a threat hunt, tabletop, or recovery exercise. Name one telemetry gap with a business case behind it. Extra credit if it is in operational technology or building management systems, both of which we currently cannot see. KPIs Share of escalations permanently solved Quality and defensibility of security dispositions and evidence Containment judgement and response effectiveness Quality and actionability of engineering artifacts Managed provider quality and reconciliation About You 5+ years in security operations, incident response, threat detection, threat hunting, security engineering, or related roles. Hands-on investigation experience across endpoint, identity, cloud, SaaS, network, or production telemetry, with the ability to build a timeline from primary evidence rather than a vendor summary. Fluency in modern attacker tradecraft, including credential theft, session abuse, phishing, malware execution, persistence, privilege escalation, lateral movement, command and control, and exfiltration. You automate what you repeat, using query languages, scripting, APIs, or workflow automation. When you hit the same problem a third time, your instinct is to build-not add another step to a runbook. Sound judgement on containment under time pressure, including knowing where your authority ends. You write investigations another engineer can follow, escalations a leader can act on in thirty seconds, and case notes that still make sense to someone reading them two years later in an audit. Calm and methodical when facts are incomplete or contradict each other. Willingness to challenge automated conclusions. AI-generated analysis is an input, not an authority; we expect you to validate it and notice when it is confidently wrong. Ability to work effectively with engineering, infrastructure, and service owners who do not report to you. Strong pluses Operational technology, industrial control systems, building management systems, or critical facilities experience. We have a known gap here and will weight it heavily. Cloud infrastructure, AI infrastructure, data centres, HPC, or other availability-sensitive environments. Response experience involving ransomware, identity compromise, destructive attacks, cloud intrusion, insider threats, or supply-chain incidents. Experience holding a managed monitoring or response provider to a standard while keeping decisions in-house. Detection testing, shadow-rule validation, threat hunting, or forensic readiness. Follow-the-sun, shift-based, or on-call operations. Certifications are useful, but not required. How we will assess An investigation, end to end. Signal to evidence to scope to containment to disposition. We are listening for what you decided independently, what you escalated, and why. The solve. This is the most important answer in the process. Describe a recurring problem you permanently retired: the artifact, who built it, and how you proved it worked. Automation instinct. Tell us about recurring toil you inherited and whether you reached for a tool, a person, or a build. Judging a machine. Describe a time an alert, vendor, or model was confidently wrong and how you caught it. Writing. We may ask for a redacted investigation write-up or escalation note. Where this leads Response Engineers here develop the sharpest picture in the company of where the estate actually breaks. They are strong internal candidates for detection engineering, platform security, and identity roles as those pillars grow. We would rather grow our next engineers here than hire them all in. This role may not be a fit if you: Want a queue to work through. There is not one. Measure success in tickets closed. Close cases without a security disposition or evidence. Forward vendor alerts without validating them. Want to write detections full time. That role is real and well funded here, but it sits in another pillar; we would rather point you towards it than mis-hire you into this one. What we can offer you At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core. Highly competitive US compensation package (base + bonus + equity) . click apply for full job details

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at BNY Mellon, Fidelity, or Bank of America, among many other leading organizations in the New York New Jersey area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor?s degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Business Operations - Banking - IT Support - Financial Operations - Data Analysis - Project Management - Network Security & Support - Customer Success Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-five thousand dollars per year.

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at BNY Mellon, Fidelity, or Bank of America, among many other leading organizations in the New York New Jersey area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor?s degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Business Operations - Banking - IT Support - Financial Operations - Data Analysis - Project Management - Network Security & Support - Customer Success Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-five thousand dollars per year.

About EliseAI At EliseAI, we're improving the industries that matter most: housing and healthcare. Everyone needs a place to live and access to quality healthcare, yet both are often harder to secure than they should be. By integrating AI agents deeply into existing workflows, we make them more efficient, reduce costs, and improve the experience for everyone. Housing : We simplify how renters tour apartments, sign leases, submit maintenance requests, and stay connected with their property team-bringing everything they need for their home into one place. Healthcare : We make it easy to schedule appointments, complete intake forms, and we help patients communicate with providers, so everyone can focus on health instead of paperwork. With EliseAI, organizations reduce manual work, improve accessibility, and deliver a seamless experience across essential services. We recently raised a $250 million Series E round led by Andreessen Horowitz to accelerate this mission. About The Role EliseAI is rapidly expanding into new product lines serving large, sophisticated customers, and we are investing heavily in how those products are built, launched, and scaled. The Product Operations Manager plays a central role in shaping this next phase of growth. You will work at the heart of product development, partnering closely with Product and Engineering to turn ambitious ideas into reliable, enterprise-ready solutions. This role offers meaningful ownership over execution, launch quality, and iteration speed as we scale a fast-growing business line. You will operate close to both the product surface area and the underlying data, using technical and analytical skills to improve quality, adoption, and speed. Key Responsibilities Translate product requirements into clear, buildable workflows through specs, diagrams, and edge-case definition Conduct thorough discovery sessions with new clients to understand their needs and requirements Drive launch readiness and coordinate cross-functional stakeholders through release Own enterprise implementation readiness, including migrations, permissions, templates, and configurations Lead post-launch follow-through to ensure issues are identified, resolved, and learned from Use SQL and internal tools to analyze product usage, adoption, and workflow health Own feedback loop conversations, synthesizing data across multiple channels such as call snippets, Datadog, support tickets, surveys, and more-acting as the Voice of the Customer to drive short- and long-term improvements Build and scale product operations processes, including monitoring, issue resolution, and ongoing support operations Manage product compliance requirements and collaborate with Legal on regulatory or policy-related initiatives Attract top-tier talent to join our driven team Move at rocket speed, build something massive. We're scaling fast, solving real client problems with precision and ambition. Here, you own your impact; full autonomy, no micromanagement, no fluff. We hire the best, expect the best, and give you the masterclass of your career. It's hard, it's intense, and it's the most rewarding work you'll ever do. If you're hungry, driven, and ready to build something massive, climb aboard. Requirements Experience in product operations, management consulting, or related operational roles in high-growth tech companies Working proficiency in SQL and comfort driving independent analysis Proven ability to manage complex, cross-functional initiatives in ambiguous environments Strong written communication skills, including specs and process documentation High attention to detail with strong ownership and follow-through Willingness to work in person at our office 4-5 days a week Why Join Growth and impact. It's not often that you can get in on the ground floor of a funded (unicorn!) startup that's scaling so fast. That means that instead of following a playbook, you'll be writing it. Every single day you will be challenged to identify how we can scale and execute on it. You'll learn what works when you succeed and what doesn't when you fail. Either way, the rest of the team will be here to support you. Benefits In addition to the growth and impact you'll have at EliseAI, we offer competitive salaries along with the following benefits: Equity in the company Medical, Dental and Vision premiums covered at 100% Fully paid parental leave Commuter benefits 401k benefits Fitness & home services stipend to cover part of your expenses so you can focus on what matters A collaborative in-office environment with an open floor plan, fully stocked kitchen, and all meals covered in the office Unlimited vacation and paid holidays We'll cover relocation packages and make the move exciting, not painful! Job Compensation Range The salary range for this role is $150,000 - $220,000. EliseAI offers a competitive total rewards package which includes base salary, equity, and a comprehensive benefits & perks package. Exact compensation is determined based on a number of factors including experience, skill level, location and qualifications which are assessed during the interview process. Additional details about total compensation and benefits will be provided by our Recruiting Team during the hiring process. EliseAI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable federal, state, or local law. Employment with EliseAI is on an "at-will" basis, meaning that either the employee or the company may terminate the employment relationship at any time, with or without cause or notice, subject to applicable law. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We will also consider qualified applicants in accordance with the Austin Fair Chance Hiring Ordinance. If you need assistance or a reasonable accommodation during the application or recruiting process due to a disability, please contact us at .