Business analytics jobs in Bayonne, New JerseyCreate job alerts

Investment Forecasting Strategy & Transformation Lead Full-Time Boston, MA, Springfield, MA or New York, NY The Opportunity As an Investment FP&A Forecasting Strategy Lead, you will own how the investment forecast is produced—leading the end-to-end forecasting lifecycle across planning, production, and continuous improvement within the broader FP&A process. Investment FP&A sits at the center of the enterprise feedback loop, connecting strategy, forecast, actual performance, and management action for MassMutual’s investment portfolio. In this role, you will ensure the investment forecast is delivered in a controlled, transparent, and scalable manner—so it can be relied on as a core input to planning and decision-making for senior and executive leadership. You will operate with direct visibility to Finance and Investment Management senior leadership — partnering with the Head of Transformation, IM Operations, and Data Strategy leaders to ensure investment data governance extends all the way through to FP&A and that we are established as a key customer of enterprise data and platform investments. You will transform the forecasting operating model for Investment FP&A — designing and building workflows that are practical, clearly owned, and easy to maintain. The goal is not just process improvement; it is to build a system that is sustainable, teachable, and does not depend on any single person to run. You will lead the business side of key transformation initiatives, including the Anaplan reimplementation — defining what the team needs from the platform, shaping how workflows should work in the future state, and overseeing testing to ensure the end result is aligned with business purpose. You will work closely with the Modeling COE and enterprise partners to make sure models, data, and systems are aligned to how FP&A operates and where it is headed. In partnership with the Investment FP&A team, you will create the conditions for high-quality, decision-ready insight — and help move the function from production-heavy delivery toward a more scalable, insight-driven model. The Team You will be part of a growing Investment FP&A team focused on transforming how investment performance and strategy are understood and delivered across the enterprise. The team combines analytical insight generation with strong operational ownership of the forecasting process. The team plays a central role in the FP&A planning cycle, owning the investment forecast and serving as a key link between strategy, financial outcomes, and management actions. We work closely with Investment Management, Corporate Finance, Treasury, Actuarial, and enterprise data and systems teams. Our culture emphasizes ownership, clarity, and continuous improvement, with a shared goal of building a scalable, transparent, and reliable forecasting capability that the business can trust. The Impact • Own and evolve the investment forecasting operating model, defining how planning, production, and model governance work across the team — ensuring the model is resilient, scalable, and aligned to enterprise planning cycles, • Design workflow infrastructure that embeds quality and speed into how the team operates — establishing clear ownership, structured handoffs, and built-in transparency so the team can deliver consistently without reliance on individual expertise or manual workarounds, • Safeguard production integrity and stakeholder confidence by establishing process discipline and cross-team coordination into the operating rhythm — ensuring the team meets enterprise timelines without compromising analytical quality, • Lead the business side of Investment FP&A's system transformation, including Anaplan — translating business needs into platform requirements, shaping future-state workflows, and overseeing UAT execution to ensure the end result serves the team's analytical and reporting objectives, • Represent Investment FP&A in enterprise platform and data governance decisions — partnering with the Head of Transformation, IM Operations, and Data Strategy to ensure investment data flows are governed end-to-end and that FP&A is recognized as a key customer of enterprise data and system investments, • Build the operational foundation that enables insight and executive-ready analysis — ensuring data, models, and workflows are structured to enable decision-relevant analysis, in partnership with the Analytics Lead, • Build organizational resilience and reduce key-person risk by establishing documented, repeatable processes and developing junior talent — building a team culture of process ownership and accountability so the team can scale and sustain performance independent of any single contributor, • Drive the continuous evolution of the operating model as part of the broader Finance Transformation — identifying structural gaps, designing scalable solutions, and positioning the team to absorb new demands as the function's scope and influence grow The Minimum Qualifications • 10+ years of experience in FP&A forecasting, actuarial modeling, ALM, Cash Flow Testing (CFT / AAT), or related finance/modeling roles, • Bachelor's degree in Finance, Actuarial Science, Mathematics, Economics, or a related field, • Strong understanding of forecasting processes, planning cycles, and production environments, including interactions between models, data, and financial outputs, • Experience working with actuarial or financial models and understanding model development, testing, and governance cycles, • Demonstrated experience leading model or platform conversions, including defining business requirements, shaping future-state design, and owning the business-side decision-making through implementation. Experience as a participant or tester alone is not sufficient; this role requires someone who has owned the "what" and "why," not just the "how.", • Proven ability to understand enterprise priorities and translate them into forecasting strategy — influencing senior-level stakeholders on platform, data, and process decisions, not just executing against a strategy defined by others. This includes experience engaging with senior leadership, technology partners, and cross-functional owners as a thought partner, not solely as a workstream executor, • Track record of thought leadership in forecasting or modeling operations — including identifying structural gaps, challenging existing processes, and designing scalable solutions that change how a function operates. The expectation is to define and build the framework, not improve within one, • Proven ability to design and operate end-to-end workflows with clear ownership, effective handoffs, and embedded governance — with evidence of having built these from the ground up, not solely maintained existing processes, • Navigate and lead through organizational and system change — operating with ambiguity across evolving tools, data maturity, and competing transformation priorities. Independently assess trade-offs, define sequencing, and make judgment calls that balance enterprise timelines with business quality standards The Ideal Qualifications • Experience leading or co-leading model/platform conversions or system transformations in a business-side ownership capacity, • Familiarity with insurance investment data, modeling inputs, and linkages to STAT and GAAP reporting, • Strong systems-thinking mindset with the ability to identify structural issues and design practical, scalable solutions, • Comfort operating with ambiguity and leading through change in environments with evolving tools, data maturity, and organizational priorities What You Can Expect at MassMutual MassMutual offers the opportunity to do meaningful work within a purpose-driven organization that values long-term impact over short-term outcomes. In this role, you can expect: • Clear areas of ownership and accountability, with work that connects directly to company and customer outcomes, • A collaborative environment where perspectives are welcomed, • Access to learning, development, and internal networks that support continuous growth and skill-building over time, • Employee-led communities and forums that foster connection, learning, and inclusion across the organization, • A culture grounded in integrity, responsibility, and stewardship—supported by a company with a strong legacy and a future-focused mindset #LI-LC1 MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our _ page.

Investment Tax Manager Corporate Tax Department Full Time Boston, MA or New York, NY This is an individual contributor role The Opportunity The Investment Manager - Provisions will partner closely with senior leadership to manage day-to-day operations across our investment tax portfolio, spanning provision, compliance, and deferred tax processes for life insurance investment assets including securities, bonds, partnerships, derivatives, and real estate. The Investment Tax Manager will have the opportunity to develop leadership capabilities and drive meaningful process improvements. The role requires strong tax technical skills combined with operational excellence and the ability to execute in a fast-paced, complex environment. The Team As an Investment Tax Manager - Provisions, you will be a member of the Investment Tax team within the Corporate Tax Department, part of our Controllers Organization. The Corporate Tax Department is comprised of high-performing, collaborative, and agile tax professionals who are motivated by challenging work that delivers sustained value and a culture of accountability. The Impact • Drive day-to-day execution of tax provision (ASC 740), compliance, and deferred tax reconciliation processes across all investment asset classes, ensuring accuracy and timeliness of deliverables, • Provide technical tax guidance to team members on investment taxation matters, researching and resolving moderately complex technical issues independently, • Identify and resolve data integrity issues within investment accounting systems; develop and execute proactive error detection processes to improve accuracy of tax results, • Coordinate workflow and priorities across technical tax staff covering fixed income, partnerships, derivatives, and real estate portfolios, • Support ad hoc investment transaction analysis and tax planning, coordinating with tax planning, legal, investment management, and external partners, • Partner with external auditors during tax provision and compliance reviews, addressing technical inquiries and supporting documentation requests, • Identify process improvement opportunities and lead initiatives to increase efficiency, reduce risk, and enhance controls, • Mentor and develop tax professionals, providing coaching and fostering professional growth across the team, • Represent the investment tax function in cross-functional meetings and build strong relationships across finance, investments, and operations The Minimum Qualifications • CPA or certification in process or Enrolled Agent, • Bachelor's Degree, • 7+ years of tax experience from public accounting or financial services, • 5+ years of Income tax (ASC740) provision experience The Ideal Qualifications • 8+ years of progressive tax experience in public accounting, corporate tax, or both, including complex tax matters, • Insurance or asset management tax experience, with exposure to investment taxation across asset classes, • Experience with tax technology, ERP systems, and system implementations, • Passion for leveraging technology, automation, data analytics, and AI to improve processes and efficiency, • Proven success leading transformation, process improvement, or change management initiatives, • Experience mentoring, developing, or leading tax professionals, • Strong analytical, problem-solving, and data management skills, • Ability to manage multiple priorities and deliver results in a fast-paced environment, • Project management experience; certification preferred, • Experience with deferred tax accounting, reconciliations, audits, and auditor relationships, • Self-starter with a track record of ownership, initiative, and execution, • Strategic thinker with a hands-on approach to delivering results, • Excellent communication skills with the ability to simplify complex tax concepts for diverse audiences What to Expect as Part of the Team • Regular meetings with the Investment Tax Team, • Focused one-on-one meetings with your manager, • Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQ, veteran and disability-focused Business Resource Groups, • Access to learning content on Degreed and other informational platforms, • Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits #LI-CR37 MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our _ page.

We're rebuilding the AWS product catalog for an AI-native world, and this role owns both how it's defined and how it grows. You'll set the standards every AWS product follows and define the new features, packages, and add-ons that service teams bring to customers, building the machine-readable foundation that billing, cost management, and AI agents all depend on. The AWS Billing organization serves over 200 AWS services across 30+ regions, and every one needs a product definition that is structurally correct, consistently described, and rich enough for both humans and AI to reason about. This is the foundation for commercial decisions made by external customers and internal teams. As Senior Product Manager - Technical External Services, you'll own the AWS product model end to end: the schema, governance rules, and quality standards every product conforms to, and the new product structures service teams build on top of them. You'll define what attributes a product carries from creation, how to create standard models for different types of services (from compute and storage to AI inference and developer tools), how products relate to and compose with one another in packages and shared commercial experiences, and how the catalog enables AI agents to discover, compare, and act on products programmatically. You'll also extend the catalog with new product features, packages, and add-ons that service teams can adopt through configuration rather than custom engineering. Your work directly determines how AWS services launch and grow their products. In this role, you'll architect the data model that underlies AWS commerce, define the governance framework that enforces it across hundreds of service teams, and establish the lifecycle and relationship standards that let products evolve and work consistently across commercial channels. You'll conduct direct research with service teams and internal consumers of product data to understand where definitions break down, translating those insights into schema improvements and governance rules. You'll work at the intersection of data architecture, billing infrastructure, and AI-native product design, defining how AWS products present themselves to the next generation of consumers. You'll collaborate with engineering teams across AWS's billing, metering, and cost management organizations. This role requires deep technical fluency in data modeling, schema design, and systems thinking, combined with the product instinct to know which standards matter and which create bureaucracy. If you're excited about defining the foundational data layer that makes AWS's commerce systems work this role offers the chance to shape how every AWS product is defined, described, and used across AWS commerce. Key job responsibilities • Define product framework: schema, required attributes, quality rules, and lifecycle governance for every AWS product, • Define standard product models and product-relationship patterns for different service categories, • Extend the catalog with new product features, packages, and add-ons that service teams can adopt through configuration, • Architect agent-readable product metadata standards for AI consumption across internal and external experiences, • Drive adoption of product standards across new offerings and established catalog systems, • Conduct direct research with service teams and product data consumers to identify where definitions break down and drive improvements, • Partner with engineering teams across AWS's billing, metering, and cost management organizations, • 3+ years of working as a Technical Product Manager experience, • Experience working with customers, technical teams, and management to collect requirements, describe software product features, and technical designs, • Experience in taking a product from conception & definition phase through engineering design and taking it to market, • Bachelor's degree in computer science, engineering, math, finance, or economics, • Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations, • Experience working within teams delivering software products and features using agile methodologies, • 3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience, • Experience developing, deploying and managing AI products at scale, • Experience with billing, commerce, or catalog systems, • Experience building or designing agentic products and interfaces Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, NY, New York - 167,400.00 - 226,500.00 USD annually

Corporate Security Engineering – Lead Engineer Role At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Corporate Security Engineering – Lead Engineer to join our Corporate Engineering team. This role is in New York City. We are seeking an expert Engineer who is also a subject matter expert in Physical Security. You will own the Engineering implementation of the software platforms that power our Physical Security business partners globally, with a primary focus on operating, engineering, and migrating to Genetec solutions for Access Control and CCTV. You will also work with non-Genetec solutions that serve the needs of BNY’s Corporate Security team globally. This role is in New York, NY (4 days in-office expected). • In this role, you’ll make an impact in the following ways:, • Lead and grow a high-performing global team of engineers responsible for designing, deploying, and operating physical security platforms (access control and video)., • Provide end-to-end system management for our global Genetec Security Center (Access Control / Video) installation., • Drive the migration to Genetec from legacy systems (e.g., C-CURE, Victor), including architecture, cutover planning, device onboarding, integrations, data/credential migrations, and stakeholder communications., • Plan and execute system updates, firmware upgrades, and patches; validate rollback plans and change records., • Support break/fix and incident management across the Physical Security application space., • Onboard and implement emerging technology solutions such as biometrics and video analytics offerings., • Establish and report on KPIs/OKRs (uptime, MTTR, change success rate, SLA adherence, backlog throughput) and drive continuous improvement., • Partner closely with Physical Security operations, Network/Cloud Engineering, Cybersecurity, Risk/Compliance, and Facilities/Real Estate to align platform capabilities with business needs and controls., • To be successful in this role, we’re seeking the following:, • 5+ years of experience in physical security engineering, with 3–5+ years leading engineering teams or managing a global/remote team., • Hands-on expertise with Genetec Security solutions, including architecture/design, configuration, device onboarding, and operations at enterprise scale., • Experience migrating from legacy PACS/CCTV platforms (e.g., Software House C•CURE 9000, Victor Video) to Genetec, including cutover strategies and stakeholder coordination., • Strong Windows and Linux server administration skills; proficiency with SQL, PowerShell, and at least one additional scripting language (e.g., Python) for automation and API integrations., • Solid networking fundamentals: TCP/IP, VLANs, routing, multicast/unicast, QoS, VPN, and firewall concepts; experience collaborating with network teams to design resilient architectures., • Familiarity with cybersecurity practices, vulnerability management, identity/access governance, and logging/SIEM integrations; ability to partner effectively with Cyber and Risk/Compliance., • Excellent communication, stakeholder management, and problem-solving skills; comfortable driving outcomes across business and technology partners. At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom BNY LinkedIn Here’s a few of our recent awards: • America’s Most Innovative Companies, Fortune, 2025, • World’s Most Admired Companies, Fortune 2025, • “Most Just Companies”, Just Capital and CNBC, 2025 BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $104,000 and $228,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors. At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

As a Senior Account Executive in the CPG vertical, you will use your proven experience selling digital advertising solutions to sophisticated brands and their ad agencies to grow the category's US revenues. With broad, long-standing client-side and agency relationships across the digital media world, a consultative and strategic approach, and a deep understanding of the digital advertising landscape, you will act as a strategic partner to our CPG accounts. You will sell a broad range of full-funnel advertising solutions—spanning brand-building and performance—to ensure your customers' business goals are met. Success in this role requires more than relationship management. You will bring a strategic, insights-led selling style: the ability to translate deep analytics and campaign performance data into compelling, executive-level narratives that reframe how customers think about their business. You will use your relationship-building, networking, and strong communication skills to identify, develop, and scale new business opportunities. Partnering successfully with internal, cross-functional teams to deliver measurable results for your advertising customers is required. Amazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions—including sponsored search, display, STV/video, audio, and custom ads—leverage Amazon's innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more. This is an opportunity to sell world-class personalization technologies and drive sales across multiple platforms to brand and performance advertisers, with additional opportunities to grow and retain revenue from existing advertisers. If you are a seasoned, consultative seller from the media or marketing world with a track record of driving revenue growth against ambitious targets, and you are ready to deliver strategic, full-funnel advertising solutions to demanding clients, apply today. Key job responsibilities • Deliver best-in-class strategic partnership to our brand media clients, serving as a trusted advisor who elevates the conversation beyond media buying to business outcomes., • Provide internal leadership across the account team and partner groups, setting the strategic vision and mobilizing cross-functional resources to deliver for the customer., • Build and execute an overarching full-funnel strategy—translating big, category-shaping ideas into data-backed, analytical recommendations across brand-building and performance., • Prospect and cultivate new senior-level relationships across large, complex advertiser organizations, from brand teams to the C-suite., • Retain and grow revenue from a portfolio of existing advertisers against ambitious quarterly and annual targets., • Identify and close net-new revenue opportunities within existing accounts through consultative, insights-led selling., • Demonstrate deep fluency in Amazon's search, display, video/STV, and audio solutions, using campaign performance data to build relevant, measurable advertising solutions for advertisers., • Leverage Sales CRM tools to manage pipeline, track account intelligence, and deliver accurate forecasts against quarterly quota., • Exhibit expert command of the e-commerce industry and competitive CPG landscape., • This role requires five days a week of in-office presence, with travel as needed., • 6+ years of media sales experience, • Experience in Marketing, Brand Advertising, Media Sales and/or Online Advertising Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments, restricted stock units (RSUs), and sales incentives. Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, NY, New York - 148,700.00 - 201,200.00 USD annually

Job Description Position Title: Traffic Group Manager Location: New York, New York, United States Department: Traffic Description: H&H is seeking a Traffic Group Manager to support the continued growth of the firm's roadway and transportation practice throughout the New York Metropolitan Area. This leadership role is responsible for providing technical oversight, staff resource management, and project delivery support across multiple offices and transportation market sectors. The Traffic Group Manager will coordinate closely with Business Practice Leads and technical leadership to deliver high-quality traffic engineering, transportation planning, and mobility projects. The successful candidate will lead multidisciplinary teams, mentor engineering staff, and provide technical expertise on a wide range of traffic operations, safety, capacity, and transportation planning initiatives. H&H is a nationally recognized, full-service infrastructure engineering firm delivering innovative solutions that move communities forward. With more than 139 years of experience and over 600 professionals across 32 offices nationwide, we combine deep technical expertise with the agility of a privately owned firm. From planning and design through construction, we manage the full project life cycle while continually advancing our capabilities, strengthening our national presence, and investing in the people who power our growth. At H&H, you'll join a firm that is building on its legacy by aligning expertise, expanding opportunity, and positioning itself for long-term, sustainable growth. Responsibilities • Provide technical leadership and staff resource management for traffic engineering projects across the New York Metropolitan Area, • Perform and oversee intersection and roadway capacity analyses using HCS, Synchro, VISSIM, and SimTraffic software, • Lead the preparation of traffic impact studies, transportation planning studies, and operational analyses, • Direct the analysis and design of signalized and unsignalized intersections, roundabouts, highway interchanges, and roadway geometrics, • Oversee traffic signal design, timing analysis, signing and striping plans, and maintenance and protection of traffic strategies, • Lead traffic calming, bicycle and pedestrian safety studies, parking studies, and multimodal transportation initiatives, • Support the planning and design of intermodal mobility hubs and transit station improvements, • Conduct peer reviews of traffic impact studies, site plans, and transportation-related development applications, • Apply CEQR methodologies and transportation analysis requirements for New York City projects, • Support data analytics and emerging mobility initiatives, including micromobility studies, • Coordinate effectively with project managers, technical staff, clients, and agency stakeholders, • Mentor, train, and develop junior engineers and technical staff, • Manage project scope, schedule, budget, and quality for multiple concurrent assignments, • Ensure compliance with applicable standards, including the Manual on Uniform Traffic Control Devices (MUTCD), Highway Capacity Manual (HCM), AASHTO guidelines, and agency-specific requirements, • Assist with business development, proposal preparation, and client relationship management efforts Requirements: • Professional Engineer (PE) license required in New York, • PTOE and/or PTP certification preferred, • Minimum of ten years of experience in traffic engineering, traffic analysis, traffic signal design, signing and striping design, and transportation planning, • Familiarity with NYSDOT, NYCDOT, Nassau County, Suffolk County, Westchester County, and local municipal design standards, • Experience managing transportation engineering projects and multidisciplinary teams, • Proficiency with MicroStation, Bentley InRoads, Civil 3D, and traffic analysis software including HCS, Synchro, VISSIM, and SimTraffic, • Experience preparing professional engineering deliverables in accordance with client standards and agency requirements, • Strong knowledge of transportation planning, traffic operations, roadway safety, and multimodal transportation systems, • Excellent written and verbal communication skills, • Ability to collaborate effectively with regional and local office leadership, technical directors, and marketing teams, • Active participation in professional organizations and industry associations preferredPreferred Qualifications, • Experience with CEQR transportation analysis requirements and environmental review processes, • Experience conducting bicycle, pedestrian, micromobility, and complete streets studies, • Familiarity with green infrastructure applications within transportation projects, • Experience supporting transportation projects for public agencies throughout the New York Metropolitan Area, • Additional state professional engineering registrations are a plus Benefits: Salary range - $175,000-200,000 annually. Salary commensurate with level of experience. We offer a professional work environment, a competitive salary, a benefits package, and 401(k). EOE M/F/DISABILITY/VETS Compensation details: 150000-170000 Yearly Salary PI51c1daf681ae-25405-40876736

Amazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions—including sponsored, display, video, and custom ads—leverage Amazon’s innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more. We are looking for a Senior Software Developer with a passion for dealing with internet scale datasets to work on Amazon's Analytics, Forecasting and Optimization Platform for advertising. Our platform is used across Amazon by a variety of advertising programs including Display, Video, Mobile and Kindle. Our team builds end-to-end solutions including data pipelines, large scale index data structures, time series models, software services and large scale data visualizations. Our systems are based on a mix of AWS and third-party technologies, using ones that make the best sense in a given scenario. Key job responsibilities • Own backend data pipelines, indexing systems and service & API layer application support., • Work closely with a group of highly talented and motivated software and data science engineers who build systems and models used to analyze petabytes of data, • Build systems and models to analyze supply and demand side of our advertising business and devise optimization methods., • Work on analyzing exchange bidding behavior, time series modeling, optimal inventory allocation and many other exciting problems posed by a advertising business, • Invent ways to overcome technical limitations and enable new forms of analyses that drive key business decisions, • Investigate new technologies and champion adoption within the team, • Work on a platform that spans Hadoop, Map/Reduce, Pig, FastBit, Redshift, and S3 using programming languages such as Java, C++ and Python, • Mentor junior team members, • Directly participate in setting the vision and objectives for strategic Amazon goals, in alignment with business needs and ad market dynamics., • Find new ways to use variety of Amazon's data sets to help one of the fastest growing businesses within Amazon, • 8+ years of non-internship professional software development experience, • 8+ years of programming with at least one software programming language experience, • 8+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • 4+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, • Experience as a mentor, tech lead or leading an engineering team, • Bachelor's degree in computer science or equivalent, • Experience in debugging, profiling, and implementing software engineering best practices in large-scale systems, • Experience with and deep understanding of advertising technologies (i.e., ad server, DSP) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Palo Alto - 193,300.00 - 261,500.00 USD annually USA, NY, New York - 184,900.00 - 250,200.00 USD annually

Machine Learning Engineer 4 - Intelligent Foundations and Experiences (IFX)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 4\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems\n\n \n Preferred Qualifications: \n\n • Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. \n \n Team: \n The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n Plano, TX: $179,400 - $204,700 for Machine Learning Engineer 4\n \n Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 3\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment\n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code\n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 3 years of experience programming with Python, Java, Golang, or C++\n, • At least 2 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 3 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data\n, • At least 1 year of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 1+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 1+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 1+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans\n, • 1+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n, • 1+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $161,800 - $184,600 for Machine Learning Engineer 3\n \n New York, NY: $176,500 - $201,400 for Machine Learning Engineer 3\n \n Plano, TX: $147,100 - $167,900 for Machine Learning Engineer 3\n \n Richmond, VA: $147,100 - $167,900 for Machine Learning Engineer 3\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Consultant or Senior Consultant – Procurement and Supply Chain Transformation \n \n ABOUT THE JOB \n \n THE HACKETT GROUP - Strategy & Operations \n \n The Hackett Group (NASDAQ: HCKT) is an intellectual property-based strategic consultancy and leading enterprise benchmarking firm to global companies, offering digital transformation including implementation of leading enterprise cloud applications, workflow automation and analytics that enable digital world class performance. \n \n Hackett’s Strategy & Business Transformation (S&BT) practice specializes in helping clients to improve the performance of their operations to enable growth and effectiveness and achieve meaningful cost efficiencies. As part of Business Transformation, Hackett professionals provide dedicated expertise in business strategy, operations, finance and shared services, human capital management, strategic sourcing, procurement, and information technology. Our approach provides full lifecycle service from strategy definition through design and implementation and, finally, continuous improvement. All of Hackett’s programs have digital solutions embedded to accelerate and fuse our clients' business and technology transformations. \n \n Please visit our website at www.thehackettgroup.com to find out more about our firm. \n \n Consultant or Senior Consultant Strategy and Operations \n \n Hackett’s Strategy and Operations Transformation practice helps supply chain, operations, procurement, manufacturing, logistics, and planning leaders improve performance, resiliency, service levels, and cost efficiency. We partner with clients to define strategy, operating models, network design, planning capabilities, sourcing and procurement strategies, inventory optimization, logistics improvement, change programs, capability roadmaps, and business engagement models that enable sustainable transformation. \n \n Role Description This full-time Consultant or Senior Consultant will support client engagements focused on Gen AI–enabled transformation, including conducting analyses, developing recommendations, and contributing to implementation plans. Day-to-day responsibilities include gathering and interpreting data, preparing client-ready deliverables, and participating in workshops and presentations. The role also involves collaborating with cross-functional teams, applying Hackett methodologies and benchmarks, and helping clients design and optimize processes and operating models. Consultants are expected to manage workstreams or tasks, maintain clear communication with stakeholders, and contribute to internal initiatives such as thought leadership, knowledge development, and practice growth. \n \n Qualifications \n\n • Strong analytical and problem-solving skills, including experience with data analysis, process assessment, and development of actionable insights.\n, • Consulting or project management capabilities, such as managing workstreams, coordinating with client stakeholders, and delivering structured presentations and reports.\n, • Knowledge of or interest in Gen AI, digital transformation, and technology-enabled business improvement, with the ability to learn and apply firm-specific tools and methodologies.\n, • Excellent written and verbal communication skills, with the ability to present complex concepts clearly to both technical and non-technical audiences.\n, • Ability to work effectively in a hybrid environment, collaborating with colleagues globally and remotely, while managing time and priorities independently.\n, • Bachelor’s or master’s degree in business, engineering, data/analytics, information systems, or a related field; consulting, transformation, or strategy experience is strongly preferred.\n, • Comfort working with senior leaders and cross-functional teams; experience in large enterprises or global organizations is a plus.\n, • Willingness to travel as needed for client engagements and internal meetings.\n, • Addition consideration for candidates with experience in Llamasoft, Coupa, Zycus, Zip\n\n \n LOCATION AND TRAVEL \n \n • U.S.-based candidates preferred; role may be remote or office-based depending on client, practice, and business needs \n • Willingness to travel domestically as needed for client engagements, practice meetings, and team collaboration \n Successful candidates are entrepreneurial, resourceful, analytical, collaborative, and comfortable working in fast-paced client environments. \n

Machine Learning Engineer 5\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment\n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code\n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 6 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data\n, • At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems\n\n \n Preferred Qualifications: \n\n • Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents\n, • Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5\n \n Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 5 (IC)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment\n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code\n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 6 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data\n, • At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents\n, • Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 4 (Manager, IC)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Chicago, IL: $179,400 - $204,700 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you’d love working here: Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney’s industry-leading ad technology and products – driving advertising performance, innovation, and value in Disney’s sports, news, and entertainment content, across all media platforms. Job Summary: As a Software Engineer, you will use your deep Salesforce CRM Analytics, scripting, DevOps, and data persistence skills to write and test code that delivers new features for our application portfolio. You will be an important part of a motivated team where we’ll be looking for you to be a key contributor to collaborate on application architecture, code quality, and make sure we are building the right things for our users. We want someone that has grown up through the software development ranks - possessing 3 or more years’ experience in designing and architecting highly scalable, secure, performant, and usable web applications using Salesforce and CRM Analytics. The ideal candidate would possess skills in Salesforce technology while having experience with cloud platforms (AWS, Azure or GCP), coupled with hands on persistence and data streaming technology experience (Snowflake, Kafka). Experience with Python and Databricks is highly desirable. We would like you to be comfortable performing multiple roles. We strive to get things done quickly, with high quality, and we are committed to the agile methodology. Our work is guided by lean principles (looking at value and looking for waste; not doing anything ‘for the sake of doing it’). We’re looking for a passionate, impactful, engineer who wants to come here to do their very best work and make their mark, add their chapter to the long and storied history of The Walt Disney Company. Someone who holds themselves and their teammates accountable in a professional, collaborative manner. A collaborative technologist who seeks to bring the best out in themselves and those around them. Someone who can provide a fresh perspective and innovative insight to our initiatives. Responsibilities and Duties of the Role: KEY RESPONSIBILITIES Deliver software projects with high quality on time. Provide domain expertise and innovative solutions to complex business problems Collaborate with leads and contribute to software architectures which are robust, scalable, fault-tolerant, secured and cloud-native Possess Salesforce CRM Analytics solution design and implementation experience Reason logically and creatively, identifying problems, drawing valid conclusions from the data available, and develop effective solutions while applying creative thinking in the design and development of high performing web applications Stay up-to-date on the latest software development technologies and trends Contribute to code reviews and ensure that all code meets quality standards Deliver multiple projects utilizing an Agile methodology Take a high ownership, self-sufficient, hands-on position on the team to contribute and drive quality, maintain application stability Write complex programs, analyze code changes and suggest improvements Check-in valuable, clean and well-documented code on a daily basis that adds new features and capabilities Investigate and resolve any production issues from end user (UI) to persistence layer and work to prevent them Work with the team to make sure all project deliverables are on time and high quality Work collaboratively with cross-functional teams to ensure that software solutions align with business goals Required Education, Experience/Skills/Training: YOU MUST… Hold a Bachelor’s degree in Computer Science, Computer Information Systems, Engineering, or another technical field Have 3+ years of experience in web application development or software engineering in a large enterprise environment using Salesforce and CRM Analytics platform Have Salesforce Certifications Be able to demonstrate significant experience working with relational databases, SQL and newer NoSQL data stores as well as event streaming platforms (Snowflake, Kafka) Have a strong interest in open source technology Possess good communication skills and enjoy mentoring and helping others to succeed as a team Care about your craft and have opinions about the “right” way to do things with technology PREFERRED EXPERIENCE/EDUCATION/SKILLS Master's degree in Computer Science, Software Engineering or related technical discipline is highly desirable Experience in vibe coding and AI tools Previous work experience in Ad Platforms, Accounts Receivable and/or financial applications Experience working with vendor teams to deliver high quality results Knowledge of AWS managed services, performance testing and application profiling Strong curiosity about how Disney delivers the Magic and a desire to be a part of it #disneytech The hiring range for this position in New York, NY is between $120,300 - $161,300 and Seattle, WA is between $120,300 - $161,300. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you’d love working here: Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Commerce, Data & Identity provides the core product management functions for areas crucial to Disney’s media businesses. These include initiatives and products that power digital commerce, identity, and growth, as well as those that reach uniquely across The Walt Disney Company enterprise, such as messaging and privacy, among others. Additionally, it is responsible for the data engineering, science, and products for Disney Entertainment & ESPN, along with their interconnection with other parts of The Walt Disney Company. The Commerce Data and Identity alliance in Disney Entertainment ESPN Product & Technology is looking for a Senior Product Manager to drive the design, implementation, and optimization of scalable, compliant, and reliable tax and billing infrastructure, supporting seamless subscription experiences for our growing global customer base. The Senior Product Manager, Tax and Billing, is a pivotal member of our Commerce Product team dedicated to enabling global monetization of our streaming products (Disney+, Hulu, ESPN). As a subject matter expert, you will ensure accuracy in all our transactions, drive compliance with an evolving regulatory landscape, and mitigate legal and financial risks—empowering Disney’s streaming business to scale boldly and sustainably. Key Responsibilities: Own and drive product strategy and vision for core commerce platform features: recurring billing, invoicing, refunds, and tax compliance Serve as a critical escalation and decision-maker for billing, tax, and revenue-impacting platform issues Establish and maintain high-integrity systems with the goal that every transaction charged, taxed, invoiced, collected, reported, and refunded is correct, scalable, compliant, and transparent Monitor and navigate regulatory change, supporting Disney’s global footprint and growing products while actively mitigating compliance, legal, and financial risks. Lead projects for scalable systems that can adapt to business growth and increasing complexity. Maintain all necessary JIRA tasks, boards and detailed documentation across teams, as well as all necessary communication to internal stakeholders Work cross functionally with members of the product team, revenue recognition team, legal teams, data & analytics teams, localization team and more, to identify requirements for new features that ensure compliance Required Qualifications: 7+ years of product management experience, with focus on billing, tax, commerce, or financial platforms at scale (preferably in subscription-based businesses). Strong track record of leading cross-functional platform teams in large global organizations. Ability to simplify complex business and regulatory problems and turn them into scalable, user-focused platform features. Proven experience working with engineering and data teams to deliver reliable, scalable solutions. Excellent stakeholder management, leadership, and communication skills BA/BS in Engineering, Math, Science, Economics, or equivalent. Preferred Qualifications: Advanced CS degree or MBA is a plus Experience in a media, streaming, or direct-to-consumer subscription business. Expertise in global tax, invoicing, and regulatory compliance requirements for digital subscription services. Strategic and decisive, with the judgment to clearly evaluate and communicate risks in ambiguous environments Deep understanding of modern commerce stacks, including microservices architecture and API design principles Direct experience or expertise with major global payment gateways (e.g., Adyen, WorldPay) or global tax engines (e.g., Vertex) #TECHATDISNEY The hiring range for this position in Santa Monica, CA is $155,700 to $208,700 per year and in New York City, NY is $163,100 to $218,700 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Looking to step into a visible HR role where you can influence culture, support leadership, and drive employee experience across a growing media organization? This is an opportunity to join a fast-paced team where your contributions will have a direct impact on people, processes, and organizational success Senior HR Generalist Salary: $80,000 - $95,000 Location: Fully onsite in Midtown Manhattan • Join a rapidly growing media organization with strong momentum and visibility. • Partner directly with leadership and serve as a trusted HR advisor across the business., • Gain broad exposure across employee relations, talent acquisition, payroll, training, compliance, and benefits., • Play a key role in shaping and enhancing company culture within a dynamic environment., • Influence HR strategy through reporting, analytics, and data-driven decision making., • Work with modern HR technology and systems while helping improve the employee experience., • Access professional development and ongoing training opportunities., • Receive a comprehensive benefits package including health coverage, PTO, holidays, and 401(k) match., • Join a collaborative team where HR is viewed as a strategic business partner. • Manage employee relations matters and advise managers on HR best practices., • Support full-cycle recruiting and hiring initiatives., • Coordinate onboarding and new hire orientation programs., • Assist with bi-weekly payroll processing and HR administration., • Support training, development, compensation, and benefits programs., • Ensure HR compliance, maintain employee records, and analyze HR metrics. • Bachelor’s degree in Human Resources or related field preferred., • 4+ years of progressive Human Resources experience., • Strong knowledge of employment laws, regulations, and HR best practices., • Experience with UKG/UltiPro or other HRIS platforms preferred., • Experience supporting payroll, employee relations, recruiting, and compliance initiatives., • Ability to work onsite five days per week in New York City

Location: Great Neck, NY Type: Full-Time | Onsite Compensation: $140,000–$165,000 Overview A growing, international organization in the manufacturing and supply chain space is seeking an experienced Assistant Controller to support consolidated financial reporting and oversee close and accounting operations across multiple entities. This role is ideal for a hands-on accounting leader with strong technical expertise, experience in complex environments, and the ability to partner closely with leadership in a collaborative, fast-paced setting. Key Responsibilities Prepare consolidated financial statements for internal and external stakeholders, including income statements, balance sheets, shareholder reports, tax returns, and regulatory filings Lead monthly, quarterly, and annual close processes, ensuring accuracy, efficiency, and timeliness Support internal management with reliable financial reporting and insights Oversee and mentor internal accounting staff and coordinate with auditors Manage accounting for international, multi-entity, and multi-currency operations Support transactional accounting activities and internal controls Assist with cash management, company borrowing needs, and investment funds Required Qualifications Bachelor’s or Master’s degree in Accounting, Finance, Commerce, Business Analytics, or related field CPA 7+ years of progressive accounting experience (5+ years with a Master’s degree) in manufacturing, wholesale, retail, or supply chain environments Experience with international, multi-entity, and multi-currency operations Strong background in transactional accounting and financial close Technical & Leadership Skills Advanced experience with ERP and data tools such as Oracle, SQL, Tableau, and Power BI Proven ability to analyze, present, and communicate financial insights to leadership Experience managing and mentoring accountants and working with auditors Comfortable working in small, collaborative, and accessible team environments Why This Role This is a strong opportunity to step into a senior accounting leadership role with broad exposure, complex operations, and meaningful impact within a growing organization. #LI-SM1

Ready to step into a highly visible finance leadership role where your insights directly shape business performance? Join a fast-growing, innovation-driven organization and help drive strategic decision-making across key regions. Location: remote with occasional travel in the NY/NJ area Compensation: $150,000 plus bonus Why This Opportunity Stands Out: • Partner directly with senior business leaders to influence strategic and operational decisions., • Gain broad exposure across regional performance, forecasting, and growth initiatives., • Lead high-impact financial planning and analysis efforts with executive visibility., • Drive process improvements and scalable financial frameworks in a dynamic environment., • Work cross-functionally with commercial, operations, and leadership teams to shape business outcomes. • Lead regional budgeting, forecasting, and financial planning activities., • Analyze business performance and provide actionable insights to leadership., • Partner with operational and commercial teams to support strategic initiatives., • Develop financial models to evaluate investments, growth opportunities, and business decisions., • Monitor key performance indicators and identify risks and opportunities across the region. • Bachelor's degree in Finance, Accounting, Economics, or related field., • 5+ years of progressive experience in FP&A, strategic finance, or corporate finance., • Strong financial modeling, forecasting, and business analytics experience., • Advanced proficiency in Excel and financial reporting/planning tools.

Ready to move beyond reporting and become a true strategic partner to executive leadership? This Regional Finance Manager opportunity offers high visibility, direct influence on business decisions, and the chance to help shape the growth of one of the fastest-growing accounting platforms in the country. Salary: $150,000 + bonus Remote, travel in the NJ/NY area • Serve as the primary finance partner to regional leadership with direct influence on strategy and business performance • Join a rapidly growing, PE-backed accounting platform investing heavily in technology, AI, and operational innovation, • Gain exposure to executive-level decision-making, capital allocation, growth initiatives, and M&A activity, • Own regional budgeting, forecasting, and long-range planning with significant visibility across the organization, • Work in a highly strategic role while remaining close to day-to-day business operations and performance drivers, • Collaborate with leaders across multiple offices and business units throughout the Northeast region, • Play a key role in scaling financial processes, reporting, dashboards, and analytics infrastructure, • Opportunity to build deep business knowledge across a multi-entity, high-growth environment, • Access professional development resources, learning platforms, and long-term career growth opportunities, • Competitive benefits package including health coverage, 401(k), life insurance, and development programs • Lead regional financial planning, budgeting, forecasting, and performance reporting, • Partner directly with regional leadership to support strategic and operational decision-making, • Analyze business performance, identify root causes, and provide actionable recommendations, • Build scenario models to evaluate investments, growth opportunities, and acquisitions, • Support M&A diligence, integration planning, and synergy tracking initiatives, • Improve reporting, automation, dashboards, and FP&A processes across the region • Bachelor’s degree in Finance, Accounting, Economics, or related field (MBA or CPA preferred), • 6+ years of FP&A, corporate finance, or related experience, • Experience in professional services, PE-backed organizations, or multi-entity environments, • Expertise in financial modeling, forecasting, and business performance analysis, • Hands-on experience with ERP, planning, and BI tools such as NetSuite, Adaptive, SAP, Anaplan, Power BI, or Tableau, • Must be based in the NY Metro area and comfortable traveling 30-40%

FP&A Business Partner (Northeast Region) Benefits & Growth • Direct exposure to executive leadership and regional business heads, • Accelerated impact in a high-growth, PE-backed environment with rapid revenue expansion, • Significant opportunity to shape analytical best practices and scalable processes Why This Opportunity Stands Out • Core strategic advisor role: partner with regional leadership to drive profitable growth and operational improvement, • High business visibility and influence in a rapidly expanding, tech-enabled platform at the forefront of AI adoption in professional services, • Unique chance to tackle data complexity and process improvement across a multi-entity, multi-location business model, • Opportunity to help build enterprise-wide BI and analytic systems with top-tier finance leaders Key Responsibilities of the FP&A Business Partner • Own budgeting and forecasting for the Northeast portfolio, directly informing business decisions and strategy, • Build actionable analytics and transform messy, multi-entity data into insights and recommendations for change, • Serve as the primary business partner to the regional vice president, growth, and operations leaders, driving process improvement and regional execution, • Develop and scale best-practice dashboards and enterprise analytics by leveraging Planful and Databricks, • Lead the annual and quarterly forecasting cycle, collaborating cross-functionally to meet business-critical timelines Must-Have Skills/Experience (Required) • 5 to 10 years of hands-on financial planning and analysis experience, preferably supporting multiple business units or regions, • Proven experience with advanced budgeting/forecasting and BI systems, especially handling complex, unstructured data, • Demonstrated business partnership skills with strong communication, ownership mindset, and adaptability in high-change environments Location New York/New Jersey (Tri-State) - Hybrid/Remote; local/regional candidates only Schedule Remote/home-based with frequent regional travel to clients in the NYC/NJ area; Compensation up to $150,000 USD base plus bonus #LI-JR1

Job Family: Strategy & Transformation Consulting\n Travel Required: Up to 25%\n Clearance Required: None\n \n \n Is life sciences in your DNA? Breakthroughs in pharma are helping people live healthier lives, while medical devices enable patients to proactively maintain health – this is undoubtedly a transformative time for health care companies. Guidehouse’s Life Sciences practice is an engine of innovation, helping pharmaceutical, biotech, medical device, and diagnostic companies develop custom solutions that tackle today’s challenges, while anticipating tomorrow’s. You will have an immediate impact by partnering with our clients, across all levels, to deliver product planning, pricing, reimbursement, product commercialization, and regulatory and compliance solutions. Do you think you are up for the challenge? \n \n We continuously strive to foster an inclusive and diverse work culture and thoughtfully develop our people through challenging work, valuable learning and educational programs. We cultivate a culture of mentorship and feedback for professional and personal growth. We help our clients take control of their future. This mission extends to our employee's careers, health and well-being and by the many ways we give back to our communities. \n \n What You Will Do: \n \n Associate Directors are responsible for managing projects from cultivation to completion. In this role, you will lead the activities of the designated project team and support the day-to-day management of the client relationship. You will effectively develop and manage work plans, staffing, deadlines and budgets and manage multiple projects simultaneously. Your work products are high quality and client-ready. In this visible role, you’ll lead team meetings and guide, manage, and coach staff consultants, providing constructive feedback on their project participation and overall career development. You will also collaborate with Directors and Managing Directors, keeping them abreast of project progress and important developments. You will also take part in sales initiatives and practice development. Travel is project dependent but averages 30 percent. \n \n Guidehouse encourages career development and hiring for the long term. Associate Directors follow a clearly defined career path. As you hone your sales, project management skills, ability to manage multiple work streams, professional expertise, and meet client and business development goals, you will progress to the next level, Director. \n \n What You Will Need: \n\n • \n BA/BS degree in Science, Biomedical Engineering, Healthcare, Business or related course of study, advanced degree/PhD preferred. \n • \n Minimum 6+ years of prior relevant consulting or work experience working with large global pharma, mid-sized pharma and/or biotech clients. \n • \n Strong understanding of the pharmaceutical industry, including drug development and launch. \n • \n The ability to analyze complex information, identify key issues, and develop effective strategies. \n • \n Experience in advising brand leaders, business unit leaders, and supporting insights & analytics leaders in pharma companies to support portfolio strategy, commercialization strategy and launch preparation efforts. \n • \n Experience with doing projects around market sizing, HCP segmentation, patient journey, forecasting, brand strategy, commercial model design, sales force sizing, marketing mix and budget planning. \n • \n Experience with key Pharma datasets – for example, CMS, EvaluatePharma, IQVIA/Symphony/Komodo claims, affiliations, Veeva activity data. \n • \n Ability to work independently but with oversight from management. Experience in managing components of projects, ownership of workstreams and/or analytics and supervising, coaching or mentoring others in daily tasks is required. \n • \n Excellent communication skills to convey strategic recommendations to various stakeholders, including senior management. \n • \n Must possess strong analytical skills (Excel, Access, etc.) and leverage analytic techniques to use data to guide client and team decision-making. \n • \n 5+ years of experience leading project engagements which includes planning, scoping, budget development, management and resource allocation, and managing multiple or more complex projects within scope, timeline and budget. \n • \n 3+ years of formal management of team performance to achieve project goals and exceed client expectations. \n • \n Must be willing and able to travel to client sites across the US, up to 30% of the time. \n • \n Demonstrated success formally supervising, coaching and mentoring junior level staff including ownership and guidance of their career development. \n • \n Authorized/eligible to work for any US employer without sponsorship. \n\n \n What Would Be Nice To Have: \n\n • \n Track record of managing a team’s performance to achieve project goals and exceed client expectations. \n • \n Must be collaborative and a team player. \n • \n Must have exceptional client management experience including expanding client relationships within an organization. \n • \n Experience working and collaborating with senior leadership to pursue add-on and cross business opportunities at external clients. \n\n \n \n The annual salary range for this position is $135,000.00-$225,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.\n What We Offer: \n Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. \n \n Benefits include: \n\n • \n Medical, Rx, Dental & Vision Insurance \n • \n Personal and Family Sick Time & Company Paid Holidays \n • \n Position may be eligible for a discretionary variable incentive bonus \n • \n Parental Leave and Adoption Assistance \n • \n 401(k) Retirement Plan \n • \n Basic Life & Supplemental Life \n • \n Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts \n • \n Short-Term & Long-Term Disability \n • \n Student Loan PayDown \n • \n Tuition Reimbursement, Personal Development & Learning Opportunities \n • \n Skills Development & Certifications \n • \n Employee Referral Program \n • \n Corporate Sponsored Events & Community Outreach \n • \n Emergency Back-Up Childcare Program \n • \n Mobility Stipend \n\n \n About Guidehouse \n Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. \n \n Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. \n \n If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. \n \n All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. \n \n If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. \n \n Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job DescriptionWe are looking for a Senior Treasury Analyst to join our team on a contract-to-permanent basis. This role is ideal for a finance specialist with strong treasury experience who can oversee cash activity, strengthen reporting, and provide meaningful insight into financial performance. The position will support daily treasury operations while helping improve visibility into cash positions, reconciliations, and analytical reporting. Responsibilities: • Manage daily treasury activities, including monitoring cash movements, balances, and liquidity across accounts., • Perform detailed bank and cash reconciliations to ensure transactions are recorded accurately and resolved in a timely manner., • Prepare recurring dashboards and summary reports that present treasury metrics and key financial trends to stakeholders., • Evaluate financial statement data and treasury-related analytics to identify variances, risks, and areas for improvement., • Support cash forecasting efforts by analyzing historical activity and projected funding needs., • Review bank transactions and investigate discrepancies by partnering with internal teams and external banking contacts., • Maintain accurate records of cash activity and contribute to efficient month-end treasury reporting processes., • Provide treasury support within insurance-related environments, with reinsurance exposure considered beneficial but not required.• 5+ years of experience in treasury, cash management, or a closely related finance function., • Strong background in corporate treasury operations, including cash positioning, forecasting, and liquidity management., • Hands-on experience completing bank account reconciliations and resolving transaction variances., • Ability to analyze financial statements and translate treasury data into clear business insights., • Proficiency in preparing dashboards, reports, and summary analytics for leadership review., • Experience working with high-volume cash transactions and maintaining accurate treasury records., • Knowledge of insurance industry terminology is helpful, and reinsurance experience is a plus but not required.

Job Description Job Title: Cvent Platform SpecialistLocation-Type: Hybrid (3 days/week onsite in NYC)Start Date Is: ASAPDuration: 1-Year Contract, Contract-to-HireCompensation Range: $40-47/hr W2Benefits: Eligible for Health, Dental, Vision, 401KMust be authorized to work in the U.S. This position is not eligible for sponsorship. Job Description:Our client, one of the largest names in global alternative asset management, is seeking a Cvent Platform Specialist to join their Event Technology and Operations team. This role sits within Client Marketing & Events and focuses on the end-to-end execution of digital event experiences, primarily through Cvent — including registration builds, data management, and fully customized event websites. This is an associate-level support role backing two Cvent leads and their broader events team, which runs a mix of large in-house events, third-party events, and high-profile sports & entertainment activations. Important note: this is not an event planner role — the ideal candidate supports the events team through platform operations and execution, not event conceptualization or design. The role requires someone hyper-organized, detail-obsessed, and comfortable interfacing directly with senior stakeholders including executives, with the composure to handle fast-moving, last-minute changes without missing a beat. Day-to-Day Responsibilities: • Lead the end-to-end build of event websites in Cvent, from initial design through go-live, • Manage complex registration flows, session paths, and conditional logic tailored to diverse audience segments, • Own and maintain event data integrity across Cvent (and Airtable, if applicable), ensuring consistency and accurate reporting, • Handle real-time event detail changes (e.g., hotel changes, branding updates, welcome page edits, capacity adjustments) and roll them out accurately across the platform, • Translate event goals into functional platform requirements, advising on best practices and creative solutions, • Ensure technical execution aligns with brand and regulatory/compliance standards, • Track engagement data and post-event analytics, • Take direction quickly from multiple stakeholders (Cvent leads, event planners, business/channel marketing teams) and manage competing priorities under tight deadlines, • Think several steps ahead proactively, anticipating issues (e.g., registration capacity conflicts) before they become problems, • Contribute to documentation, process improvement, and platform innovation initiatives, • Support occasional early morning or evening work to accommodate global audiences Minimum Requirements: • 2-3 years of hands-on experience with Cvent, specifically building registration workflows and fully branded event websites, • Experience owning the full process/lifecycle of an event from a platform/operations perspective (not event planning), • High attention to detail with a strong track record of accuracy under pressure, • Strong project management skills with the ability to manage multiple priorities under tight deadlines, • Excellent written and verbal communication skills; comfortable interfacing directly with senior executives and presenters, • Highly proactive and autonomous, with a strong sense of ownership and accountability, • Proficiency in Microsoft Office (PowerPoint, Excel, Word, Outlook), • Live, in-person event experience (not purely virtual event background), • Professional polish and composure, with the ability to represent the team well in front of senior leadership Preferred Qualifications: • Knowledge of Airtable, • Prior experience in financial services or a regulated corporate environment, • Experience managing multiple simultaneous webinars or virtual sessions

Job Description Tailor: NYC, Hoboken, NJ & Greenwich, CT alts | Alteration Specialists is looking for Tailors We are looking for a dynamic professional Tailors, distinguished by their charisma, technical prowess, and professional integrity. This role will include, sewing on the machine, and supporting the fitter/tailors and tailor shop manager. This is a full time role in New York City, Brooklyn, Hoboken, NJ and Greenwich,CT with an hourly rate, full benefits, and opportunities for future growth. Responsibilities Machine Production and Sewing • Demonstrate that you are meeting personal production targets, • Cultivate proficiency with men's, women's, and bridal alterations as well as alterations of difficult fabrics Analytics • Constantly be evaluating processes that are not efficient and come up with solutions to better optimize our organization, • Inform front desk of all re-alterations, • Keep track of and scan your production during the day and communicate with front desk to confirm accuracy Attributes • You are a hard worker. You’re have a passion for sewing and work with speed and quality., • You are mission driven. You are motivated to help change the fashion industry, and move towards a more sustainable future and serve as an excellent ambassador for a cause you believe in., • You are systematic. You derive pleasure from being highly organized, creating order, and checking things off your list., • You are detail-oriented. You take pride in delivering beautifully altered garments and you meticulously check work for accuracy., • You are thoughtful. You can anticipate the needs of your tailoring team and clients, and feel committed to proactively creating a supportive environment for all. You are able to recognize how your individual role feeds into the larger organization’s objectives., • You have great professional integrity. You take ownership over your work, ask for help when you need it, and are committed to your own growth and development. Experience • 5+ years of alteration tailoring experience required, • Proficiency in English recommended This is a mid-career role. Why the Role is Compelling As a Tailor for an Alts team, you would play an integral role in working in the heart of the business with your expertise in sewing and alterations. You would feel the support of a tight-knit tailoring and operations team, and the excitement of being part of a growing, multi-studio operation disrupting the fashion industry with many opportunities to grow as quickly in your career as the brand is growing. Alts is committed to working with and fairly rewarding the best talent in the industry. We believe in treating people right - through fair compensation and benefits, comprehensive training, thoughtful management and specific attention to growth and development of our staff. *This is based on skill level and classification of tailoring work Powered by JazzHR Rz3tT4ucEc

Job Family: Strategy & Transformation Consulting\n Travel Required: Up to 25%\n Clearance Required: None\n \n \n Is life sciences in your DNA? Breakthroughs in pharma are helping people live healthier lives, while medical devices enable patients to proactively maintain health – this is undoubtedly a transformative time for health care companies. Guidehouse’s Life Sciences practice is an engine of innovation, helping pharmaceutical, biotech, medical device, and diagnostic companies develop custom solutions that tackle today’s challenges, while anticipating tomorrows. You will have an immediate impact by partnering with our clients, across all levels, to deliver product planning, pricing, reimbursement, product commercialization, and regulatory and compliance solutions. Do you think you are up for the challenge? \n \n We continuously strive to foster an inclusive and diverse work culture and thoughtfully develop our people through challenging work, valuable learning and educational programs. We cultivate a culture of mentorship and feedback for professional and personal growth. We help our clients take control of their future. This mission extends to our employee's careers, health and well-being and by the many ways we give back to our communities. \n \n What You Will Do: \n The Value & Access team provides commercialization strategy and market access services to pharmaceutical and biotechnology companies. Our client services range from pre-commercialization go-to-market planning to launch value story, pricing, and reimbursement strategies, impacting policies affecting the use and payment of our clients’ novel therapies. \n \n You will be responsible for creating and implementing pricing and access strategies for a variety of pharmaceutical assets. This will involve working with senior staff to develop project proposals, managing consulting teams in the development and communication of client deliverables, and maintaining client relationships. Managing Consultants oversee multiple projects simultaneously. \n \n Common responsibilities and expertise include: \n · Designing and managing project teams to execute various pharmaceutical market access and pricing strategy projects, both qualitative and quantitative \n ○ Strong market analysis, market research, and analytics skills required \n ○ Preferred candidates will have experience with various pricing methodologies (analog assessment, Van Westendorp, Gabor Granger, Conjoint, etc.) \n · Designing and leading primary interviews with key stakeholders such as payers and KOLs \n · Deep experience with: \n\n • \n Part A / hospital inpatient pricing and reimbursement \n • \n Part B / medical benefit pricing \n • \n Part D / contracting \n • \n Calculating gross-to-net \n\n · Building Excel-based financial models to evaluate price-access scenarios and gross-to-net \n · Strong understanding of health economic methodologies and value pricing constructs \n · Ability to construct practice economic analyses under a variety of settings of care and financial ecosystems \n · Familiarity with U.S. government and pricing policy reform \n · Track record of thought leadership (written or podium) \n · Comfortable engaging with and presenting to executive-level audiences to deliver actionable insights and recommendations \n · Track record of training and developing junior consulting staff \n \n Guidehouse encourages career development and hiring for the long term. Managing Consultants follow a clearly defined career path. As Managing Consultants hone their project management skills, ability to manage multiple work streams, professional expertise, and client and business development skills, they progress to the position of Associate Director. \n \n What You Will Need: \n · Bachelor’s degree; a major course of study in science, biomedical engineering, business, or healthcare policy preferred. \n · 4+ years of consulting or related business experience in market access, reimbursement, pricing, health economics, forecasting, and/or pipeline strategy. \n · 1–2 years of direct experience in client management and content delivery roles. \n · Demonstrates excellent project management skills, initiative and resourcefulness, leadership, and ability to think strategically and creatively. \n · Keen attention to detail. \n · Strong understanding of the pharmaceutical industry, including drug development and launch. \n · Experience developing, designing, and executing qualitative and quantitative market research. \n · Strong verbal and written communication skills. \n · Proficiency in Microsoft Office Excel, Word, PowerPoint, and Outlook. \n \n What Would Be Nice To Have: \n · Graduate-level degree in business or other health-related field (e.g., MBA, MPH, MS, PhD) \n · A track record in mentoring and developing junior staff members. \n · Track record of promotion within a firm or achievement that shows ability to take on progressively more responsibility. \n · Superior written and verbal communication skills. \n · Preference will be given to candidates located within 50 miles of a Guidehouse office. \n \n The annual salary range for this position is $122,000.00-$204,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.\n What We Offer: \n Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. \n \n Benefits include: \n\n • \n Medical, Rx, Dental & Vision Insurance \n • \n Personal and Family Sick Time & Company Paid Holidays \n • \n Position may be eligible for a discretionary variable incentive bonus \n • \n Parental Leave and Adoption Assistance \n • \n 401(k) Retirement Plan \n • \n Basic Life & Supplemental Life \n • \n Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts \n • \n Short-Term & Long-Term Disability \n • \n Student Loan PayDown \n • \n Tuition Reimbursement, Personal Development & Learning Opportunities \n • \n Skills Development & Certifications \n • \n Employee Referral Program \n • \n Corporate Sponsored Events & Community Outreach \n • \n Emergency Back-Up Childcare Program \n • \n Mobility Stipend \n\n \n About Guidehouse \n Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. \n \n Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. \n \n If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. \n \n All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. \n \n If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. \n \n Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology (DEEP&T) is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you’d love working here: • Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come., • Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally., • Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems. Job Summary: The Disney Growth, Commerce, and Identity Experience organization powers the foundational user experiences across Disney+, Hulu, ESPN+, and other Walt Disney Company business units. These experiences are built on a shared identity platform that enables secure, seamless authentication, registration, and account management for hundreds of millions of users globally. The Identity Client Experience team owns and evolves the client-side governance platform that powers trusted, compliant, and consistent user experiences across Disney's streaming ecosystem — including privacy and consent management, age verification, parental controls, Kids Mode, analytics governance, and policy-driven feature control. These systems are essential to ensuring every interaction across Disney+, Hulu, and ESPN+ is compliant by default, regionally adaptive, and consistent across web, mobile, and living room devices. We are seeking a Senior Software Engineer with strong cross-platform instincts and a passion for building secure, scalable, and policy-driven client experiences. In this role, you will design and develop core governance capabilities used across all of Disney's streaming platforms, collaborate closely with legal, privacy, product, and partner teams, and help shape the future of identity and data governance on the client. Responsibilities: Technical Leadership & Expertise • Own the design, development, and successful deployment of medium-to-large size software solutions, ensuring performance, quality, scalability, and security., • Drive software engineering best practices, including design, code quality, security and testability within the team., • Exhibit deep and broad technical expertise, with hands-on proficiency in key functional/specialty areas., • Serve as a primary technical resource for the team, offering guidance on technical issues and new feature development., • Participate in the design and delivery of features that integrate with LLM-backed services. For example streaming chat surfaces, structured-output forms, retrieval-grounded search, and tool-use interactions, partnering with senior AI-application engineers on the team., • Help establish and refine team practices for using AI coding tools (Cursor, Claude Code, or equivalent) effectively and responsibly in day-to-day development. Execution & Impact • Solve complex technical problems with an innovative and experimental can-do attitude grounded by advanced technical skill and technique., • Conduct thorough code reviews, focusing on requirements, design and coding standards, readability, testability, and optimization., • Mentor and guide the work of less experienced engineers to develop solutions., • Identify opportunities and recommend the development or implementation of solutions to improve products or processes with each iteration., • Document technical details for assigned features, fixes, and projects. Autonomy & Influence • Work independently with minimal guidance, applying judgment in selecting methods and techniques to resolve issues or satisfy requests., • Make timely, informed technical decisions that moderately influence the work of team members and related projects., • Participate in developing new technical approaches and tools., • Communicate complex technical information effectively to both technical and non-technical audiences. Basic Qualifications: • Minimum of 5 years of hands-on software engineering experience, • Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience, • Strong problem-solving skills and ability to write clean, maintainable, scalable code, • Proficiency in TypeScript/JavaScript; experience building client-side features in web or device environments, • Experience building and consuming RESTful APIs and working with state management patterns, • Familiarity with authentication and authorization concepts, • Knowledge of CI/CD pipelines and deployment tooling (GitHub Actions, GitLab CI, or equivalent), • Experience with testing frameworks for unit, integration, and/or end-to-end coverage, • Strong cross-functional communication skills Preferred Qualifications: Multi-Platform & Device Experience • Experience shipping client features on at least one native or device platform: iOS (Swift), Android (Kotlin), Roku (BrightScript), or Web (TypeScript/JS), • Familiarity with cross-platform SDK integration patterns and shared client library development, • Experience with server-side rendering and modern React frameworks., • Experience building or contributing to a shared component library or design system at scale., • Experience with real-time UIs — streaming responses, WebSockets/SSE, optimistic updates, partial rendering., • Performance engineering experience — Core Web Vitals, bundle optimization, profiling, rendering performance. AI-assisted development • Hands-on experience using agentic coding tools (Cursor, Claude Code, GitHub Copilot, or equivalent) as a regular part of your workflow — beyond inline autocomplete., • Experience authoring durable project context for AI tools — AGENTS.md, CLAUDE.md, Cursor rules, custom skills, or comparable artifacts that encode team conventions., • Familiarity with plan-first / spec-first workflows when working with coding agents (plan mode, milestones, review gates) and with structured review of AI-generated code (hallucinated APIs, plausible-but-wrong logic, security regressions, prompt-injection risk in agentic flows) AI application exposure (growth-area; not required) • Experience integrating LLM APIs (OpenAI, Anthropic, Amazon Bedrock, Azure OpenAI, or equivalent) into web applications, even at the level of one or two shipped or seriously prototyped features., • Experience building user-facing surfaces for LLM features — streaming UIs, tool-use / function-calling interactions, structured output rendering, citation and grounding UX, regeneration and interruption flows., • Familiarity with the TypeScript AI ecosystem (Vercel AI SDK, Mastra, LangChain.js, official OpenAI/Anthropic TS SDKs, MCP clients) or working knowledge of the Python AI ecosystem (LangChain, LlamaIndex, evaluation frameworks)., • Awareness of LLM-application concerns in production: evaluation strategies (golden datasets, regression checks, LLM-as-judge with appropriate skepticism), observability and tracing (Langfuse, LangSmith, Helicone, OTel-based), token accounting, latency budgets, caching, and content safety., • Awareness of AI-specific risks in user-facing surfaces — prompt injection via user input or retrieved content, output validation, PII handling, and responsible-use considerations. Domain & ways of working • Experience building internal tools, developer platforms, or operations applications at scale., • Experience working in a large, cross-functional engineering organization — coordinating across teams, navigating shared platforms, and contributing to org-wide standards., • Experience in media, entertainment, sports, or streaming technology is a plus but not required. #DISNEYTECH The hiring range for this position in Seattle, WA and New York, NY is $148,700 to $199,400 and in Los Angeles, CA is $141,900 to $190,300 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you’d love working here: Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems. Product Management is responsible for driving the overall user experience, feature strategies and concepts, and engagement paradigms for Disney Entertainment & ESPN's global portfolio of consumer-facing streaming and digital products – including Disney+, Hulu, ESPN, ABC, ABC News, Nat Geo, Marvel, and Star Wars. Job Summary: The DEEPT News & Entertainment Product Team is looking for a dynamic Principal Product Manager specializing in matrixed strategic initiatives, experimentation, and data-driven decision making. This critical role sits at the intersection of technology, content, and user experience, focusing on world-class digital experiences for Disney’s news and entertainment brands. The ideal candidate is collaborative, passionate about UX, self-directed, curious about industry trends, and has demonstrated an ability to build and support market-leading digital products. The News & Entertainment product team is responsible for building the next generation of news and entertainment experiences for all digital platforms. As a key member of this team, you will collaborate with colleagues across engineering, design, and data science, as well as editorial and business stakeholders to launch new features and coordinate ongoing support for existing experiences. You will drive product strategies with a data-first mindset, leveraging A/B testing, user analytics, and advanced data practices to elevate our product offerings and inform decision-making. You will be supported in personal and professional growth through ongoing learning, mentorship, and leadership opportunities, and be a part of a culture that values diversity, experimentation, and continuous improvement. Responsibilities and Duties of the Role: • Lead cross-functional strategic initiatives and collaborate with product managers, engineering, design, and editorial teams to define strategic goals, propose innovative ideas, align on product vision, and set measurable success metrics., • Define, monitor and communicate KPIs and product metrics. Identify growth opportunities, measure business impact, and influence cross-team priorities through clear, data-informed storytelling., • Cultivate direct user relationships by delivering personalized, timely, and contextually relevant messaging to maximize engagement and loyalty, • Build the long-term strategy for unifying CRM and automated messaging capabilities, including data models, integrations and automating workflows, across multiple products., • Leverage AI tools to introduce new features and improve messaging capabilities, tooling, and enhance connected user experiences., • Advance data maturity by establishing best practices for experiment data collection, governance, and analytics, ensuring the integrity and accuracy of data used for product insights., • Craft and present strategic narratives tailored for executive audiences to influence decision-making, drive alignment on business priorities, and deliver meaningful improvements at scale., • Provide leadership and coaching to product teams, championing product strategy, raising organizational capabilities, and fostering a culture of continuous improvement and innovation. Required Education, Experience/Skills/Training: Basic Qualifications • 10 years or more experience in product management – specifically in digital media, news, entertainment, or streaming domains., • Strong technical aptitude and experience with CRM and messaging platforms, automation tools, and experimentation tools., • Strong understanding of data integration, data maturity concepts, and frameworks., • Hands-on experience with AI and machine learning applications, particularly in building and deploying automated workflows., • Demonstrated ability to lead cross-functional teams in a matrixed organization, driving consensus and delivering results., • Exceptional analytical and problem-solving skills, with a passion for making data-driven decisions and the ability to break down complexity and deliver pragmatic solutions., • Outstanding written and oral communication skills, capable of influencing at all levels and translating technical concepts for diverse audiences., • Passion for news, entertainment, or media and creating transformative user experiences at scale. Required Education • A bachelor's or master's degree in computer science, statistics, business, media or a related field from a four-year accredited college or university #DISNEYTECH The hiring range for this position in New York, NY is $197,400 to $264,700 per year and in Glendale, CA is $188,400 to $252,600 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job DescriptionBenefits: • Bonus based on performance, • Employee discounts, • Health insurance Job Title: Sales-Focused Project Manager – Business Development & Brand Marketing Location: NYC Job Type: Full-Time Department: Brand Development, Sales & Marketing Overview: We’re looking for a driven and sales-focused Project Manager – Business Development & Brand Marketing to lead brand growth initiatives, expand market presence, and drive revenue through strategic storytelling, partnerships, and campaigns. This hybrid role combines sales strategy, brand development, and cross-functional project execution—perfect for someone passionate about building a dermatologist developed brand. Key Responsibilities: Sales & Business Development · Identify and pursue new business opportunities, retail partnerships, influencer collaborations, and distribution channels that align with the brand. · Build and maintain a high-conversion sales pipeline, from lead generation to deal closure. · Develop customized pitches, sales decks, and proposals for retail buyers, strategic partners, and wholesale clients. · Own and exceed revenue goals tied to product launches, campaigns, and brand expansions. · Foster long-term relationships with partners, stockists, and key accounts. Brand Strategy & Development · Execute brand-building strategies that position the company as a leader in its category. · Collaborate with creative and marketing teams to ensure cohesive messaging, voice, and visuals across all platforms. · Develop product positioning, brand messaging, and storytelling assets. · Manage brand partnerships, co-branded initiatives, and strategic collaborations. · Coordinate brand launches, experiential activations, and media-facing initiatives. Project & Campaign Management · Plan and lead cross-functional projects that support brand growth, product expansion, or market entry. · Manage timelines, tasks, and deliverables across teams (creative, digital, operations, sales). · Track performance KPIs and campaign ROI, adjusting strategies based on data and feedback. · Ensure brand consistency across all touchpoints and campaigns. Marketing Execution · Oversee the execution of email marketing, social campaigns, digital advertising, and influencer activations. · Align marketing initiatives with sales goals and brand positioning. · Work with designers, copywriters, and external vendors to develop creative materials. · Analyze marketing performance using tools like Google Analytics, Meta Ads Manager etc. Other Administrative Responsibilities: • Perform various administrative tasks and provide support as needed to ensure smooth office operations, • Assist with special projects, reports, or presentations as directed, • Support cross-functional teams with general office tasks or coordination needs, • Perform additional tasks as requested by medical or office management to support patient care and office workflow Key Performance Indicators (KPIs): · Brand awareness and reach (impressions, engagement, follower growth) · Sales and revenue tied to campaigns, launches, and partnerships · New business opportunities secured (B2B, retail, collaborations) · ROI of brand marketing initiatives · Influencer and media engagement · Retail sell-through and reorder rate Qualifications: · Bachelor’s degree in Marketing, Communications, Business, or related field. · 3–5+ years of experience in brand marketing, sales, or business development—preferably in beauty, fashion or lifestyle · Strong understanding of branding principles, visual identity, and storytelling. · Proven ability to meet revenue goals and manage brand growth projects. · Experience working with marketing tools and platforms (e.g., Meta Ads, Shopify). · Excellent project management and communication skills. Preferred Skills: · Strategic thinker with creative flair and business acumen · Strong negotiation and partnership-building skills · Highly organized, with the ability to manage multiple launches and deadlines · Analytical and data-driven decision-maker · Passion for branding, consumer behavior, and trends Compensation & Benefits: • Competitive base salary + performance bonuses, • Product discounts and brand perks, • Health insurance, • Flexible schedule and remote work options, • Career advancement opportunities in a fast-growing brand Flexible work from home options available.

Job Description At Morning Brew Inc., we mix what you need to know with our unique brand of wit to attract, and build real relationships with, the next generation of business leaders. We speak to them like people, ensuring they get the context and insight needed to make decisions every day. Loyalty and trust are our most valuable currencies. Whether scrolling, reading, watching, or listening, our audience trusts us for credible, entertaining business content that makes an impact on their personal and professional lives. The Morning Brew team is clever, creative, and growing fast. Want in? Read on. OVERVIEW Morning Brew Inc. is looking for a Senior Associate, Go-to-Market Strategy to package, position, and bring to market the advertising products our sales team sells across newsletters, podcasts, social video, events, and custom content. The ideal candidate for this role is a builder who thinks in stories and works in slides. You can take a pile of research, editorial capabilities, branded content, and half-formed ideas and turn it into a deck a seller can confidently walk into a room with. You know how to make a complicated idea feel simple, and you have the instincts to know what a salesperson needs before they ask for it. You are just as comfortable owning a project end to end as you are hunting down the five people across the company who have the answers you need. Morning Brew Inc. is based in New York City but this role is remote-friendly for all candidates. The team is flexible on where this candidate is located. This position will report to the Director, Go-to-Market Strategy. WHAT YOU'LL DO • Concepting and formulating both large and small-scale content ideas into innovative partnership programs and new product launches with a high-level of business and creative acumen. Building the packaging and positioning behind new sponsorship opportunities, franchise launches, and product expansions, then translating that thinking into the decks, one-sheets, and talk tracks that get sellers ready to sell on day one. Thinking fast and strategically when a new opportunity lands. Asking the questions that get to what a client is really after, pressure-testing where MBI has the right to win and where we do not, and turning all of it into something sellable on a real timeline. Owning our master sales deck library end to end, keeping every narrative current as the portfolio grows, and making sure the materials our sellers put in front of clients are consistently sharp, accurate, and on brand. Lead internal kick-off calls with cross-functional stakeholders to ensure the process is smooth, collaborative, and transparent. Own the next steps, timelines, and communication Partner across Sales, Creative Strategy, Editorial, Insights and Analytics, Events, Product, and Pricing to pull the best of what MBI makes into sellable ideas, including turning strong one-off client concepts into repeatable packages the whole org can sell. Packaging our creator-led and multimedia work in a way that does the ideas justice. You speak format and feed with creators and producers, then translate that into a must-buy for clients Training and enabling the sales team, including leading rollouts of new packages, walking sellers through the narrative and the talk track, and making sure every person going to market feels confident in what they are selling and the story they are telling Staying with products after launch by monitoring sell-through, identifying what is not working, and repackaging or retraining as needed until performance is where it should be. Serving as the connection point between sales and GTM by sitting in on seller conversations, tracking what is landing and what is not, and feeding that intelligence directly back into what we build next. Building the systems that make all of this scale, including a well-organized asset repository sellers can navigate on their own and a feedback loop that keeps GTM building toward real demand. WHAT YOU'LL BRING Four-year college degree or equivalent combination of skills, training and experience. 3-4 years of experience in go-to-market strategy, sales enablement, integrated marketing, content strategy, or pre-sale at a digital publisher, agency, or brand. Strong foundation in brand strategy and creative thinking, with the ability to translate market demand into compelling narratives & sponsorships that align with MBI’s brand pillars and audience. Adept at leveraging market research, campaign performance data, and audience insights to inform and refine strategy, ensuring ideas are both resonant and results-driven. Exceptional strategy and deck-building skills. You can take a messy set of inputs and shape it into a presentation with a clear through line, a logical build, and slides that a stranger could follow without narration. A gift for organizing complicated thinking into something simple and persuasive. You know what to cut, what to bold, and what belongs in an appendix. Strong writing and editing chops, with an ear for copy that reads well on a slide and sounds natural when someone says it out loud. Hands-on experience with creator-led, social, or multimedia content strongly preferred, whether at a publisher, an agency, or on your own. Resourcefulness above all. When the answer is not written down anywhere, you go find it, and you come back with a recommendation rather than a list of open questions. A collaborator by default. You work well across teams with competing priorities, you make cross-functional partners want to work with you again, and you know how to move a project forward without formal authority. Working knowledge of the media landscape, including how packages are built and priced across newsletter, podcast, social video, events, and custom content, and how editorial and custom content differ. Comfort with data and insights. You can pull audience research and campaign performance into a story that supports the pitch, and you never put a number on a slide you cannot source. Deadline-oriented project management skills with the ability to juggle multiple requests and turn work around quickly without letting quality slip. Expert Google Slides, plus fluency in PowerPoint, and the rest of G-Suite. A culture-first mindset, a bias toward figuring it out. Passion for Morning Brew Inc.'s editorial brands and mission. COMPENSATION $85,000 - $90,000 *Final offers for this job will be made within the parameters of the salary range provided, commensurate with experience. Total offer package to include benefits highlighted under our perks section below. HOW WE TREAT EACH OTHERRespectful Candor -- We believe that engaging in timely, constructive, and open discourse is an act of respect that makes for a more transparent and productive work environment. Empathy -- We establish a strong partnership of trust with our co-workers and partners. We build human connections in order to understand each other. Inclusivity -- Morning Brew Inc is deeply committed to fostering a transparently inclusive workplace environment, and people of color, women, people with disabilities, veterans, and LGBTQIA+ candidates are strongly encouraged to apply. HOW WE TREAT OUR WORKCuriosity -- We learn every day through deliberate inquiry and exploration. We re-examine assumptions to be a better company, offer better products, and become better colleagues. Accountability -- We celebrate our successes and own our failures. Taking responsibility for our actions allows us to learn from our experiences. Bias Toward Action -- We know speed matters in business so we embrace quick and calculated risk-taking. We understand that many actions are reversible and therefore we are solutions-oriented, even when facing obstacles and challenges. Challenger Mentality -- We don’t allow ourselves to be comfortable with our success. We are hungry to become the best and create more value for our audience. Clarity of Purpose -- We understand the “why” in our work, which helps us to operate at our highest level of performance and efficiency. PERKS While being surrounded by a bunch of cool people who look great in crewnecks is its own reward, we have plenty more to offer. Brew’s HQ: Pick an adjustable standing desk or cozy corner and load up on free coffee (duh) and snacks at our new two-story office space in NYC’s Flatiron District. 401(k) employer match: We want to help you prepare for the future, now. Premium health, vision, and dental plans: Your health matters! Mental health benefits: Personalized plans and programs to promote your mental well-being. Extra help when you need it: Including a care concierge, plus free access to One Medical and the Calm app. Family planning: Want to join #brewparents? Generous paid parental leave and fertility coverage for eligible employees. Employee Resource Groups: Black Coffee, LGBTQ Brew, AAPI Brew, Cafe Con Leche, and Grounded Gym and workout class reimbursements: It pays to be healthy. Annual learning credit: Want to learn something new? We'll reimburse you. BRIEF BREW HISTORY Morning Brew Inc. was founded in 2015 by two entrepreneurial college students who noticed their peers were not consuming legacy media resources about business and finance news, but had a high desire to learn about those topics. What started as a small on-campus email has since evolved into a multi-channel media company that operates 20+ unique content franchises. All while maintaining our witty, honest and engaging tone that millions of loyal MBI audience members rely upon daily to better navigate the world. In 2020 a majority stake in MBI was acquired by Axel Springer SE and in February 2025 that position was increased to full ownership of the business. Axel Springer SE is a family-owned, transatlantic media company headquartered in Berlin and New York that is committed to the values of a free and informed society. To learn more about Axel Springer SE and what defines us, visit http://axelspringer.com/en/what-defines-us. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionPosition Overview We are seeking a Community Manager who will be a key player on our social team, responsible for building and growing vibrant, engaged communities for our clients. This role centers on engagement strategy, sharp copywriting, and a finely tuned instinct for social trends…Turning every comment, reply, and cultural moment into an opportunity to grow fandom and drive brand love and engagement impact for some of the world's leading global brands. The Community Manager will own the day-to-day voice of our clients across social platforms, writing scroll-stopping copy and proactively engaging fans wherever they gather: in owned comments and DMs, on trending posts, and anywhere else a conquesting opportunity exists to connect authentically with new and existing audiences. This role calls for a witty, on-brand writing style paired with a conquesting mindset, always scanning for the next big moment to jump into. Using social listening tools and the platforms themselves, this person will dig into conversations to spot "surprise and delight" opportunities, finding standout community members and creative ways to partner with them. Responsibilities • Own day-to-day community management and engagement strategy across TikTok, Instagram, X, and Threads, prioritizing TikTok and Instagram, with Threads, X, and organic-only Facebook as secondary channels, • Write sharp, on-brand copy for captions, community posts, replies, and real-time engagement moments that capture each client's distinct voice, • Proactively identify and execute conquesting opportunities — engaging in trending conversations, culture-defining posts, and other high-visibility spaces beyond owned channels to expand reach and grow fandom, • Monitor conversations in real time and respond to fan comments, DMs, and mentions with speed, personality, and brand-appropriate tone, • Stay immersed in social trends, internet culture, memes, and emerging platform features to spot timely engagement opportunities before they peak, • Build and maintain organized engagement trackers, community guidelines, and response protocols to keep every account running smoothly and consistently, • Compile basic performance reporting — engagement rates, community growth, and top-performing moments — to inform ongoing engagement strategy, • Partner closely with Social Media Managers and Strategy Coordinators to align community engagement with broader content and campaign calendars, • Flag emerging fan sentiment, potential issues, and standout community moments to the broader team, • Support editorial calendar execution and ensure timely, detail-oriented publishing and engagement across all platformsQualifications, • 3-5 years of experience in community management, social media, or copywriting (agency and CPG brand experience a plus); we're looking for someone at a senior, analyst level, given the autonomy and visibility this role requires, • Exceptional copywriting skills, with a knack for adapting tone and voice across multiple brands, • Deep, current knowledge of social platforms, internet culture, and emerging trends — you're the person in the room who saw it first, • Strong organizational and time-management skills; comfortable juggling multiple client accounts and a high volume of daily engagement, • Meticulous attention to detail, especially under fast-moving, real-time conditions, • Working knowledge of social media management and analytics tools (Sprout, Sprinklr, Meta Business Suite) for scheduling and basic reporting; familiarity with Airtable a plus, • A proactive, opportunity-seeking mindset — always scanning for the next moment to jump into, • Excellent written and verbal communication skills, • Ability to thrive in a fast-paced, deadline-driven environment, • Experience with social listening tools such as Dash, GWI, Brandwatch, Sprinklr, or All Ears for audience data and trend trackingLocation and Salary This is a full-time, exempt role with a salary range of $75K - $110K, depending on experience. This is an EST remote position, NYC location preferred. About Saylor Saylor is an LA-based creative agency for entertainment brands and brands who seek to entertain. We are an office filled with passionate people who love to work together to develop authentic, sharable content that inspires fans across the internet. We represent a wide range of clients including Netflix, Disney, Amazon, Hulu, Paramount+, and more. We're a close-knit team of creatives who value collaboration, quality of work, innovation, and most importantly: being social. In the office, we aim to create a supportive environment where individuals are encouraged to work together to problem-solve for our clients. Benefits We offer a competitive salary, health insurance, 401k, generous vacation, and great opportunities for growth within the company. Saylor is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members. Qualified candidates will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.

Job DescriptionAssistant Portfolio Manager (Early-Career) – Career Launch AI Talent Network Location: New York, NY Employment Type: Full-Time Estimated Compensation: $140,000 – $185,000 total annual compensation (varies by employer) About This Posting This job description represents a sample Assistant Portfolio Manager position commonly found through the Career Launch AI Talent Network. It is designed to help job seekers understand the responsibilities and qualifications typically associated with early-career roles in portfolio management and investment strategy. Actual openings may vary depending on employer needs and investment focus (e.g., public equities, fixed income, multi-asset, or alternative investments). For more information on the Career Launch AI Talent Network, visit: https://www.careerlaunch.ai/ Position Overview Assistant Portfolio Managers support senior portfolio managers in the construction, monitoring, and optimization of investment portfolios. The role involves financial analysis, market research, risk assessment, and performance evaluation across asset classes. These roles often require close collaboration with portfolio managers, research analysts, risk teams, and trading desks to support disciplined investment decision-making. Key Responsibilities Assist in portfolio construction, rebalancing, and asset allocation decisions Analyze securities, sectors, and macroeconomic trends to support investment strategies Build and maintain financial models, performance attribution tools, and risk analytics Monitor portfolio performance relative to benchmarks and investment objectives Conduct market, industry, and company-specific research Support trade execution planning and coordination with trading teams Prepare investment memos, performance reports, and presentations for internal stakeholders Assist with portfolio risk management, scenario analysis, and stress testing Preferred Qualifications Bachelor’s degree in Finance, Economics, Mathematics, Business, Engineering, or a related field Strong foundation in financial markets, investments, and portfolio theory Experience in asset management, equity research, investment banking, consulting, or trading (preferred but not required) Advanced analytical and quantitative skills with strong attention to detail Proficiency in Excel and financial modeling; familiarity with Python, R, or SQL is a plus Clear written and verbal communication skills High interest in markets, investing, and long-term capital allocation About the Career Launch AI Talent Network The Career Launch AI Talent Network helps job seekers pursue opportunities similar to this role through: Skills-based role matching Resume and profile optimization Guidance on outreach to hiring managers and investment teams Interview preparation for investment, markets, and portfolio management roles To learn more or express interest in portfolio management and investment roles, visit: https://www.careerlaunch.ai/

Job Summary: The Data Product team is seeking a Manager, Data Product Management to lead measurement and instrumentation across Disney's direct-to-consumer experiences, including Disney+ and Hulu. The data collection layer your team designs powers experimentation, data science, and personalization across the business. It determines what the business knows about engagement and product health, and whether that knowledge can be trusted when decisions get made. You'll lead a team of Data Product Managers driving DTC instrumentation end-to-end: acquisition and purchase flows, account management, subscriber lifecycle, the browse experience, and everything in between. You'll set a high bar for what exceptional measurement work looks like — both technically and as a practice — and stay close enough to delivery risk to know when that bar isn't being met. If you've led a team building a world-class data collection ecosystem, bring considerable technical depth, and have held yourself accountable for whether data was trusted and not just delivered, we'd like to hear from you. Responsibilities and Duties of the Role: • Lead and develop the team, setting the standard for DTC data collection and raising the bar across Product & Technology., • Own the DTC data collection roadmap across the Disney+ and Hulu product experiences, sequencing by business need and evaluating emerging capabilities., • Drive execution and stay ahead of delivery risk, balancing speed with long-term telemetry health., • Write and review instrumentation solution designs (events, parameters, schemas) that feed analytics, experimentation, and ML downstream., • Own data quality outcomes, closing coverage gaps before downstream teams do, increasingly through AI-assisted monitoring., • Move the team toward intelligent, contract-based instrumentation that scales coverage automatically and accelerates the engineering lifecycle., • Partner with Data Engineering, Product Engineering, Product Management, and Business Operations on shared measurement goals., • Represent the team's strategy to senior leaders across the company. Required Education, Experience/Skills/Training: Basic Qualifications • 8+ years in data product management, data instrumentation, digital analytics implementation, or a closely related field., • Direct experience leading and developing teams in instrumentation, analytics, or measurement, accountable for performance and the team's standards., • Fluency with AI tools in your own work, and a track record of raising AI fluency across your team., • Strong product sense applied to measurement: you've owned strategy and roadmap with clear accountability for outcomes., • Deep understanding of first-party and third-party measurement across web, mobile, and connected devices, and how instrumentation choices affect downstream quality and trust., • Hands-on technical depth in instrumentation and analytics implementation on enterprise measurement platforms (AEP/CJA, Amplitude, or comparable), with recent hands-on application, not solely oversight., • Track record of cross-functional execution across Product Engineering, Product Management, Analytics, QA, and Program teams in matrixed organizations., • Proficiency in SQL and/or Python for data validation, troubleshooting, and analysis., • Clear communicator who can translate technical tradeoffs into business terms for any audience, including executives. Preferred Qualifications • Experience supporting DTC subscription or commerce products at scale: purchase, upgrade, cancellation, or account management analytics., • Experience building instrumentation for A/B testing and product experimentation at scale., • Data observability experience: monitoring pipelines for quality, freshness, and schema drift., • Strong understanding of data governance, privacy, and compliance (GDPR, CCPA) in analytics instrumentation., • Familiarity with the modern cloud data stack and how analytics data flows downstream., • Advanced degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent practical experience. Required Education Bachelor's degree in Computer Science, Engineering, Business, Analytics, or a related field, or equivalent practical experience. #Disneytech The hiring range for this position in New York City, NY is $179,700 - $241,000 per year, in San Francisco, CA is $187,900 - $252,000 per year, and in Santa Monica, CA and Bristol, CT is $171,600 - $230,100 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job DescriptionPortfolio Operations Manager – Career Launch AI Talent Network Location: New York, NY Employment Type: Full-Time · Part-Time · Contract · Temporary · Internship · Casual Estimated Compensation: $140,000 – $185,000 total annual compensation (varies by employer) About This Posting This job description represents a sample Portfolio Operations Manager position commonly found through the Career Launch AI Talent Network. It is intended to help job seekers understand the responsibilities and qualifications typically associated with supporting portfolio companies and investment teams through operational analysis, performance tracking, and execution support. Actual openings may vary based on employer needs, investment strategy (e.g., private equity, growth equity, venture capital), industry focus, and portfolio complexity. For more information on the Career Launch AI Talent Network, visit: https://www.careerlaunch.ai/ Position Overview Portfolio Operations Managers support investment firms and portfolio companies by driving operational performance, monitoring key metrics, and executing value-creation initiatives across the portfolio. The role blends operational analysis, project management, and cross-functional coordination, working closely with investment teams, operating partners, and portfolio company leadership. Key Responsibilities Track and analyze operational and financial performance across portfolio companies Develop and maintain KPIs, dashboards, and reporting frameworks Support execution of portfolio-wide value-creation initiatives Partner with portfolio company management on operational improvement projects Monitor budgets, forecasts, and operating plans Identify performance gaps, risks, and operational improvement opportunities Coordinate cross-functional initiatives across finance, operations, technology, and go-to-market teams Prepare portfolio reviews, operating reports, and executive-level updates Support pre- and post-investment operational diligence and integration efforts Preferred Qualifications Bachelor’s degree in Business, Finance, Economics, Engineering, or a related field Experience in portfolio operations, management consulting, private equity, or operating roles Strong understanding of business operations, financial metrics, and performance management Advanced analytical and problem-solving skills with strong attention to detail Proficiency in Excel and presentation tools; familiarity with data visualization or analytics tools is a plus Strong project management and stakeholder coordination skills Clear written and verbal communication abilities Ability to operate in fast-paced, multi-stakeholder environments About the Career Launch AI Talent Network The Career Launch AI Talent Network helps professionals pursue opportunities similar to this role through: Skills-based role matching Resume and profile optimization Guidance on outreach to investment firms and portfolio operations teams Interview preparation for portfolio operations, value creation, and case-based assessments To learn more or express interest in portfolio operations and value-creation roles, visit: https://www.careerlaunch.ai/

Job DescriptionAbout US Mobile At US Mobile, we’re building the next-generation Super Carrier—a carrier that’s deeply innovative, user-centric, and obsessively focused on making connectivity simpler, smarter, and more accessible. We envision a future where flexibility and transparency are the new norms, and our mission is to deliver a seamless mobile experience that transforms how people think about telecom. Role Overview As the Chief of Staff to the CEO, you will act as a trusted advisor and strategic thought partner to the CEO, driving alignment and execution across all facets of the business. You’ll collaborate with cross-functional teams, manage high-impact initiatives, and ensure the CEO’s time is leveraged effectively. In this pivotal role, you’ll gain unparalleled exposure to the inner workings of a rapidly growing company while shaping our trajectory as a Super Carrier. Key ResponsibilitiesStrategic Advisory Serve as a sounding board for the CEO, providing data-driven insights, recommendations, and critical feedback on strategic decisions. Help define and prioritize the company’s long-term objectives and major initiatives. Project Management & Execution Lead and/or coordinate high-impact projects from initiation to completion, ensuring timely delivery and measurable outcomes. Facilitate cross-functional collaboration to remove bottlenecks and maintain momentum on key initiatives. Operational Efficiency Develop and refine processes that optimize the CEO’s time, including meeting agendas, briefing materials, and follow-ups. Track organizational performance metrics, assessing progress toward strategic goals and identifying areas for improvement. Executive Communication & Alignment Prepare presentations, board materials, and executive summaries to communicate strategic priorities internally and externally. Align stakeholders across departments, ensuring clarity of goals, roles, and timelines. Relationship Management Represent the CEO’s office in interactions with internal teams, partners, and external stakeholders. Build trust-based relationships across all levels of the organization to drive alignment and engagement. QualificationsExperience & Background3+ years of experience at a top-tier management consulting firm or in a similarly demanding strategic/operations role. Proven ability to manage multiple, complex projects with competing priorities under tight deadlines. Bachelor’s degree in Business, Engineering, Economics, or a related field; advanced degree (MBA or MS) is a plus. Skills & CompetenciesStrategic Thinker: Exceptional analytical and problem-solving abilities, with a knack for synthesizing complex information into clear recommendations. Project Management: Demonstrated success in planning and executing cross-functional initiatives end-to-end. Communication & Influence: Excellent verbal, written, and interpersonal communication skills, with the ability to influence and coach stakeholders at all levels. Data-Driven Approach: Comfortable leveraging data and analytics for sound decision-making; proficiency in SQL or BI tools is a plus. Adaptability: Able to thrive in a fast-paced, ambiguous environment, pivoting quickly as priorities shift. Personal AttributesCollaborative: A team player who brings people together to achieve common goals. Entrepreneurial Spirit: Takes ownership and proactively seeks opportunities to create value. High Integrity: Trustworthy, dependable, and operates with the utmost discretion. Why Join US Mobile?Impact: Work hand-in-hand with the CEO to shape the future of a rapidly scaling Super Carrier. Exposure: Gain a 360°ree; view of the business, collaborating with leaders across all functions. Growth: Competitive compensation, benefits, and significant opportunities for professional development. Culture: A forward-thinking, mission-driven environment that values bold ideas and fosters innovation. How to Apply If you are excited about partnering with a visionary CEO, owning strategic projects, and helping to build the telecom experience of tomorrow, we want to hear from you! Please submit your resume and a brief cover letter explaining why you’re a great fit for US Mobile’s Chief of Staff role US Mobile is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We encourage applicants of all backgrounds to apply. + Equity Benefits ● Health care coverage through Aetna (Medical, Dental, Vision) ○ We pay 80% of your employee monthly premium ● Flexible paid time off ( We dont count) ● Gym reimbursement (up to $100 a month) ● Commuter reimbursement (MTA, Metro North, etc..) ● Free cell phone service ○ We give you $100 a month for free service for your friends and family of your choosing ● Your choice of equipment + Bose QC/Apple Airpod Pro headphones ● 401k We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description JOB DESCRIPTION Job Title: Manager Innovation Administration & AnalyticsDepartment: Office of Innovation MTA Agency: LIRR Primary Location(s): Queens Salary Range: $93,986-$117,482.Position Classification: Non-Safety Sensitive Union Affiliation: Non-Union Closing Date: Open Until Filled About your agency: Chartered in 1834, the Long Island Rail Road (LIRR) is the largest, busiest, and oldest continuously operating commuter railroad in the United States. In 2024, this 24/7/365 operation served 75.5 million riders on a system that stretches nearly 120 miles – from Penn Station and Grand Central Madison in Manhattan to Montauk on the eastern tip of Long Island. SUMMARY: This position provides centralized support for the Long Island Rail Road's Office of Innovation (OOI) by driving project coordination and data analytics across departmental initiatives. The role emphasizes project support through the development and maintenance of program-level and project-level reports, dashboards, and performance analytics to enable data-driven decision-making. Key responsibilities include managing project documentation, tracking milestones, analyzing Key Performance Indicators (KPIs), and preparing actionable insights for leadership. The position also supports strategic initiatives by leveraging data to identify trends, optimize workflows, and improve project outcomes. In addition, this role will handle essential administrative functions such as budget monitoring, audit reviews, and HR coordination, ensuring compliance and operational efficiency. This position drives centralized coordination and execution of projects within the Long Island Rail Road's Office of Innovation (OOI). The role focuses on project management and data analytics, including developing and maintaining program-level and project-level reports, dashboards, and performance metrics to enable informed decision-making. Responsibilities include managing project documentation, tracking milestones, analyzing KPIs, and delivering actionable insights to leadership. The position also leverages data to identify trends, optimize workflows, and improve project outcomes. In addition, the role includes administrative responsibilities such as budget oversight, audit reviews, and HR coordination to ensure compliance and operational efficiency. DUTIES AND RESPONSIBILITIES: • Responsibilities may include, but are not limited to:, • Plan, organize and monitor departmental projects, Track Milestones, deliverables, and timelines, Ensure alignment with organizational goals, • Manage the development and implementation of office and program related systems and processes. Coordinate and manage the centralized administrative requirements set forth by LIRR, MTA, FTA, and others. Prepare and support OOI with required human resource needs., • Develop and maintain dashboards, report, and KPI’s, analyze project performance metrics and trends, Provide actionable insights for leadership decision-making., • Update policies and procedures for related coordination activities; review and coordinate procedures and training on the administrative elements of the railroad as associated with department goals and related administration; and conduct internal reviews, closeouts, and audit assessments., • Identify inefficiencies using data analytics. Recommend and implement process improvements. Support innovation initiatives through data driven strategies., • Prepare reports, presentations, research and studies, associated with projects goals., • Manage project and departmental budgets., • Prepare financial reports and assist with audits., • Ensure compliance with fiscal policies., • Maintain processes between project staff, consultants, contractors, and internal railroad departments that reflect the current LIRR procedures, practices, and internal controls., • Handle HR related tasks (onboarding, scheduling, documentation)., • Manage general administrative activities as needed., • Select, develop and motivate personnel within the department. Provide prompt and effective coaching and counseling. Review performance of subordinates. Create and maintain a professional environment that respects individual differences. Promote safe work practices and provide safe working conditions ensuring adherence to guidelines of company safety policies and procedures. Lead by example., • Perform other assignments as requested by Senior Management REQUIRED EDUCATION AND EXPERIENCE:, • Bachelor’s Degree in Arts/Sciences (BA/BS) in Business, Engineering, Finance, or other related field of study. Demonstrated, directly related, equivalent experience and education may be considered in lieu of the degree, subject to approval, • Minimum 7 years of experience preferably in an Office Management, Project Management environment with emphasis on planning, management, and/or administration, • Minimum 3 years of data management and analysis experience, • Must be able to demonstrate excellent oral, written, interpersonal and presentation skills., • Must be able to organize reports, can analyze and recommend solutions to coordination problems, • Must be able to read and write reports and/or procedures and read and interpret audits., • Strong Computer Skills and knowledge of management systems/databases are desirable., • Must be able to demonstrate effective business partnerships, interpersonal skills, and the ability to interact effectively with all staff members of all levels, with a high level of professionalism. OTHER INFORMATION: Pursuant to the New York State Public Officers Law & the MTA Code of Ethics, all employees who hold a policymaking position must file an Annual Statement of Financial Disclosure (FDS) with the NYS Commission on Ethics and Lobbying in Government (the “Commission”). Actual salary offers may vary based on individual work experience. The annual salary range is subject to change and may be modified at the company’s discretion. Employees driving company vehicles must complete defensive driver training once every three years for current MTA drivers, or within 180 days of hire or transfer for an employee entering an authorized driving position. Current employees should be in their current position 12 months prior to starting a new role and must possess a satisfactory work history. Including attendance and discipline records. Candidates selected for this position may be placed in a competitive or non-competitive class position based on their qualifications In addition to meeting the minimum requirements of the position, the selection process may include, but is not limited to, a pre-screening assessment (i.e., physical, written, and/ or practical evaluation) and interview. Candidates forfeit further consideration in the process if they fail to participate in any step of the process when scheduled. Make-up dates/times will not be given. In addition, LIRR employee applicants must be in their current position for the 12 months immediately preceding the close date of this posting and must possess a satisfactory work history, including attendance and discipline record. A record of more than ten sick days without medical documentation in two of the last three years is considered unsatisfactory attendance. Not all qualified applicants are guaranteed an interview due to the competitive selection process. A medical examination and safety-sensitive drug/alcohol test may also be required., • #TapYourCareers, • #MTACareers EQUAL EMPLOYMENT OPPORTUNITY/ADA DISCLAIMER: MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including those concerning veteran status and individuals with disabilities. The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply. If you require reasonable accommodation for a medical condition or disability to participate in the job application or interview process, please notify your MTA representative once you have been contacted regarding the role.

Job DescriptionCapital Strategy Manager Location: New York, NY Employment Type: Full-Time Estimated Compensation: $140,000 – $185,000 total annual compensation (varies by employer) About This Posting This job description represents a sample Capital Strategy Manager position commonly found through the Career Launch AI Talent Network. It is intended to help job seekers understand the responsibilities and qualifications typically associated with roles focused on strategic capital planning, portfolio optimization, and investment initiatives. Actual openings may vary based on employer needs, asset class focus (e.g., private equity, credit, real assets, infrastructure), and strategic objectives. For more information on the Career Launch AI Talent Network, visit: https://www.careerlaunch.ai/ Position Overview The Capital Strategy Manager supports investment and finance teams by designing, analyzing, and executing strategic initiatives for capital allocation and portfolio optimization. This role blends financial modeling, market research, and strategic planning to help organizations deploy capital efficiently, optimize portfolio performance, and drive growth. It involves close collaboration with portfolio managers, investment teams, and senior leadership to ensure alignment with organizational objectives and risk-return targets. Key Responsibilities Develop and implement capital deployment and investment strategies aligned with organizational goals Conduct market research, sector analysis, and portfolio performance reviews to identify opportunities and risks Collaborate with investment teams on portfolio construction, scenario analysis, and capital allocation decisions Prepare reports, dashboards, and presentations for senior leadership and investment committees Monitor portfolio performance, liquidity, and capital efficiency metrics Identify strategic initiatives to improve investment returns and optimize resource allocation Support fundraising, investor engagement, and stakeholder communications with strategic insights Partner with cross-functional teams to align capital strategy with organizational priorities Preferred Qualifications Bachelor’s degree in Finance, Economics, Business, or a related field Strong understanding of capital markets, investment strategy, and portfolio management Experience in private equity, credit, real assets, or strategic capital planning (preferred but not required) Advanced analytical and modeling skills with attention to detail Proficiency in Excel, PowerPoint, and portfolio/analytics tools Excellent written, verbal, and presentation skills for internal and external stakeholders Ability to manage multiple strategic initiatives in fast-paced environments Strong interest in investment strategy, capital allocation, and financial planning About the Career Launch AI Talent Network The Career Launch AI Talent Network helps job seekers pursue opportunities similar to this role through: Skills-based role matching Resume and profile optimization Guidance on outreach to investment teams and senior leadership Interview preparation for capital strategy, portfolio analysis, and investment initiatives To learn more or express interest in strategic capital and investment roles, visit: https://www.careerlaunch.ai/

Job Description About Fay At Fay, our mission is to make nutrition a foundational pillar of preventative care, improving outcomes, accessibility, and affordability at scale. We're building AI-powered infrastructure to transform preventative healthcare. Think that's bold? We're just getting started. Today, Fay is a three-sided marketplace connecting providers, patients, and payers to revolutionize preventative care delivery. Our b2b2c business-in-a-box solution empowers dietitians to deliver high-quality, affordable nutrition care, helps patients take control of their health, and enables payers to build healthier member populations. Nutrition is our starting point, not the finish line. The platform we're building will expand into new areas of preventative health and wellness as we grow. We're proud to be one of the fastest-growing companies in healthtech, backed by category-defining investors like General Catalyst, Forerunner, 1984, and Goldman Sachs. Ready to leverage AI-driven technology to transform preventative care and make a real-world impact on health? Let's talk. About the Role This Business Operations role sits at the center of Fay's three-sided marketplace — payers, providers, and members — and the flywheel that connects clinical quality, payer trust, provider economics, and member retention. It works across Member Experience, Provider Operations & Growth, Clinical Operations, and Payer Operations, flexing toward whichever side of the marketplace needs the most attention at any given time. This is a strategic, analytical role grounded in operations. You'll own data and insights that drive decision-making, build a strong understanding of supply and demand dynamics across payers, providers, and members, and translate those insights into clear, actionable recommendations. You'll also help build and maintain the operating systems that keep a fast-moving, complex organization aligned and executing effectively. At Fay, we value people who are adaptable, resourceful, and excited to tackle new challenges as the business evolves. Priorities in this role will shift as the business does — one quarter you might be deep in payer economics, the next focused on provider supply, the next on member retention. We're looking for someone who's energized by that kind of movement, comfortable getting hands-on wherever the highest-impact work is, and eager to apply their skills across the marketplace rather than in a single fixed lane. What You'll Be Doing Strategy & Business Analysis • Partner with team leads across payer, provider, and member functions to generate insights on cohorts, trends, and opportunities to reduce churn and improve retention, • Conduct market and competitive analysis to inform positioning across clinical quality, provider economics, payer relationships, and member experience, • Lead deep-dive analyses on strategic and operational questions and translate findings into clear recommendations and priorities Growth & Marketplace Dynamics • Own analysis of supply and demand dynamics across the payer, provider, and member marketplace, helping shift toward a more predictive model, • Support Provider Growth in identifying where to focus onboarding efforts (e.g., geographies, provider profiles), • Evaluate new initiatives and clarify what is driving impact, and what is not, across any side of the marketplace Operating Cadence & Performance Management • Build and maintain the operating cadence across Member Experience, Provider Growth & Operations, Clinical Operations, and Payer Operations, • Own weekly metrics reviews, OKR tracking, and monthly reporting, including dashboards and performance analytics, • Surface risks, identify gaps, and drive accountability across cross-functional initiatives Cross-Functional Execution • Partner with Product, Payer Operations, and other internal teams to operationalize new features and ensure real-world needs shape product decisions, • Act as connective tissue across teams by surfacing insights, resolving misalignment, and helping navigate ambiguity Special Projects & Zero-to-One Builds • Own early-stage processes, programs, or capabilities without clear ownership, wherever they emerge across the marketplace, • Build, test, and scale new initiatives, then transition them to long-term owners, • Support hiring and org-building as the team scales, • Take on ambiguous, high-priority problems with full ownership Your Skills and Experience • 4+ years in business operations, strategy, chief of staff, or similar roles in high-growth startup, tech company, or consulting, • Strong analytical skills with experience working directly with data, dashboards, and reporting (SQL preferred or willingness to learn), • Proven ability to own metrics and operating cadence in a fast-paced environment, • Strong prioritization and judgment in ambiguous, high-change environments, • Comfortable moving across functions and priorities — able to shift focus between payer, provider, and member workstreams as the business needs, • Experience working across multiple functions and managing cross-functional execution without direct authority, • Excellent communication skills, including writing clear, structured memos and presentations for senior audiences, • Background in healthcare, marketplace, or operations-heavy environments preferred, • Highly organized, detail-oriented, and proactive in identifying problems before raised, • Motivated by outcomes over ownership and effective in collaborative environments, • MBA a plus, but not required The best companies are made of the best people. We've got ambitious goals with a long road ahead, and we move together. We work hard, stay energized, and make time to celebrate the wins along the way. See our careers page here to learn more about working on our team. Compensation Range $120,000—$185,000 USD Fay is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Description About impact.com impact.com is the world's leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products—Performance (affiliate), Creator (influencer), and Advocate (customer referral)—unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands, including Walmart, Uber, Shopify, Lenovo, L'Oréal, and Fanatics, rely on impact.com to power more than 225,000 partnerships that deliver measurable business results. Your Role at impact.com: This position as RVP of Sales focuses on managing functions essential to our go-to-market strategy to drive sales enablement and productivity. This will include planning, forecasting, reporting and analytics, sales process optimization, and marketing and sales tech stack management. Oversees hiring, coaching, training, strategy, and personal development for their team. What You'll Do: • Recruit, train, and retain a top performing sales team, • Lead and coach a team of sales representatives, enabling them to exceed their quotas consistently, • Run weekly 1-on-1s with each direct report to help them overcome roadblocks and chart their long-term career growth, • Monitor team KPIs and proactively identify the actions that your team members can take to improve each month, • Demonstrate a "never quit" attitude and instill tenacity and resilience in your team, • Analyze team performance data to suggest scalable improvements to core sales processes and sales training, • Foster a transparent, inclusive, and achievement-oriented team culture, • Assist sales staff in closing account sales opportunities when needed, • Develop and manage strong relationships across teams and looking for opportunities to add value for the customer and additional revenue, • Maintain market and industry knowledge to support continued growth What You Bring: • Proven ability to deliver deal predictability within a traditional SaaS sales motion, leveraging data-driven forecasting and disciplined pipeline management., • Skilled at cultivating a high-performance, retention-focused team culture that consistently develops talent, sustains long-term engagement, and achieves results without disrupting team cohesion., • 4+ years of experience managing a team of Account Executives, • 4+ years of experience in a new business quota-carrying sales position as an individual contributor, • You can demonstrate a track record of overachievement against individual and team quotas, • You have examples of sales reps you've coached from underperforming to high-achieving, • You instinctively document the training, team-building, and sales process plays that work and share them with your colleagues to drive improvement across your organization, • You have strong empathy for peers, direct reports, and customers, • You have excellent communication skills and the ability to motivate behavior change, • You're adaptable and open to changing processes when it's right for your team, your organization, and the customers you serve, • Experience within performance, partner, or affiliate marketing is a plus. Salary Range: $360,000 - $400,000 per year, OTE potential total on target earnings (base + commission) per year, plus eligibility to receive Restricted Stock Unit (RSU) grant. Benefits and Perks: At impact.com, we believe that when you're happy and fulfilled, you do your best work. That's why we've built a benefits package that supports your well-being, growth, and work-life balance. Medical, Dental, and Vision insurance • Office-only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled, • Flexible spending accounts and 401(k), • Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life., • Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health., • A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval., • Investing in Your Growth: We're committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses., • Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver., • Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses. impact.com is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors. #LIRemoteUS

Job Description We are PMG PMG, a global independent platform company engineered for impact, integrates business strategy, media, creative, and data within a single operating model powered by our proprietary operating system, Alli. With more than 1,000 employees, PMG partners with brands including Apple, Nike, Dropbox, Experian, Sephora, and Whole Foods. Our work has earned top industry honors, including Cannes Lions and Adweek's Media Plan of the Year, and PMG has won 40+ workplace culture awards, including being the only company to rank among Ad Age's Best Places to Work for 11 consecutive years. Who You'll Be Working With At PMG, we're transforming the marketing technology space by combining cutting-edge technology, industry expertise, and entrepreneurial energy to empower our clients in revolutionary ways. As Product Lead at PMG, you will lead innovative solutions for our proprietary operating system, Alli. In this role, you will be responsible for product management within our Alli Platform, delivering solutions that use data to empower marketers to make better, faster, data-informed decisions. Working closely with the Product, Engineering, and Media teams within PMG, you will help create the product strategy and the long-term product and feature roadmap for your assigned product area. You will also collaborate with Engineering, Sales, Marketing, external Partners and Customers to advocate our product, maximize its potential and lead it to market success. We're innovating fast and making an impact on our customers' and employees' lives in significant ways. You will be part of a team that is leading innovation by combining technology, industry expertise and entrepreneurial experience to massively disrupt the digital marketing space for our clients. If you're passionate about building data-driven products that solve complex marketing challenges, this is your opportunity to lead innovation in the digital marketing space. What You'll Be Doing • Own the roadmap for a product area inside the Alli platform, • Use a data driven approach to identify product opportunities and deliver solutions that improve user outcomes, • Understand how product, engineering, and media teams work together to drive marketing objectives, • Identify and develop new product opportunities using AI and data science based models, • Work with external third parties (i.e., Google, Amazon, OpenAI) to assess partnerships and licensing opportunities evaluate AI based partnerships, • Work with executives to align product vision and strategy, • Responsible for product planning and execution throughout the product life cycle, • Actively engage users and drive adoption through various marketing activities such as: all hands company meetings, lunch & learns, newsletters and product documentation to both internal and external audiences, • Actively manage a portfolio of concurrent product projects, quality of deliverables, dependencies, and outcomes to ensure that the product objectives are achieved on time, • Coordinate delivery of product releases with the Engineering and Media teams, • Conduct research, gather and document product and customer requirements, ensuring project documents are complete, with abundant detail, current, and stored appropriately, • Work cross-departmentally to scope costs, time, and capacity for requests, • Work with UI/UX team to design flows, prototypes, sketches, and high-fidelity visuals for your features, • Ideate and brainstorm solutions, • Conduct testing to improve software quality, • Provide content for product line and marketing communications What You Will Bring • Bachelor's Degree or equivalent work experience, • 4+ years of related work experience in an advertising agency and/or in a product focused role within a technology based organization, • 4+ years of experience working with customer data, martech data sets, and/or digital advertising platforms, • Strong stakeholder management, • Prior experience building and delivering product marketing presentations to large audiences, both internally and externally; past experience with Keynote/PowerPoint, • Passion for understanding users and their behavior, • Prior experience working with LLMs and prompt engineering and/or data science modeling, • Prior experience managing the end to end product lifecycle, • Self-motivated; keen interest in learning new tools and technology Nice to Have Qualifications • Experience with analytics tools such as: Pendo, Mixpanel and Google Analytics What We Offer • Professional Development: Take advantage of our learning and development programs, mentorship opportunities, and career advancement support., • Generous Time Off: Enjoy generous paid time off and holiday allowances to recharge and spend time with loved ones., • Parental Leave: We provide paid parental leave to support your family during important life events., • Retirement & Pension Plans: Plan for your future with competitive retirement or pension programs, including contribution matching., • Fertility and Family Support: Access fertility benefits for all team members and their spouses., • Healthcare: Coverage and support for everyday medical expenses and routine care, tailored by geography., • Pet Insurance: Protect your pet's health and your finances., • Lifestyle Spending Accounts: Enjoy 100% company-funded accounts to promote healthy habits and well-being., • Commuter Benefits: Access support for travel and commuting needs, where available., • Annual Bonus: All employees are eligible for an annual bonus., • Volunteering Opportunities: Receive 8 give-back hours to volunteer in your local communities., • AI Enterprise License: Access AI Enterprise accounts and participate in weekly AI training sessions to empower and ensure AI safety. Benefits vary by country, location, and geography to reflect local laws, norms, and expectations. What Sets Us Apart Being part of PMG means joining a company culture that's unmatched in digital. We're dedicated to working hard to serve our employees and clients, delivering value, results, and innovation—which often requires true grit and agility. We believe in taking care of ourselves and each other to continuously improve in every way. In alignment with our core values to be inclusive and always change for the better, PMG is committed to creating a more diverse and inclusive culture, and we are proud to be an equal opportunity employer. We believe that we only change for the better by bringing diverse perspectives to our company. PMG recruits, employs, trains, compensates, and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job Description Our client, a major Telecoms Network Infrastructure and Software company, is looking for presales profiles to sell their network automation/autonomous network propositions to Tier 1 and Cable businesses across North America. We are looking for candidates with specialisms in (3 different roles): • Charging & Mediation, • Network Automation (candidates with experience any of AI/ML, Service Assurance, Core Networks, Network Analytics, Autonomous Networks, OSS), • Security (Network and End-point sold to Service Providers) We are looking for candidates across North America but ideally in the following locations: Dallas, Denver, Seattle, New Jersey, New York, Philadelphia, and Toronto. General Details: The role involves leading the pre-sales customer-facing and solution development activities as a strategic advisor to customers. Address customer needs proactively by providing focused and differentiated solutions. Establish and grow relationships with key customer technical decision makers and executives. Develop and execute the pre-sales strategy to promote and evangelize our portfolio, solve customer business challenges and maximize the leading market position of my client. Lead market pipeline development activities with sales teams and establish/implement proactive business development campaigns with support from the BUs. Seek and utilize market, domain and customer insights to develop differentiated solution value propositions for customer challenges. Partner with sales people/account managers to drive deals to closure. Define and implement global competencies, processes, practices, deliverables and knowledge management (presentations, offer templates, golden RFX’s, discovery outcomes with customers). Drive global communities to foster collaboration and propagate best practices. Lead sales and pre-sales enablement activities including training, collateral and programs. Consolidate and share market intelligence (customer installed base, competitive intelligence and win/loss analyses). Manage global demo center of excellence to ensure all pre-sales teams are enabled and equipped to demonstrate products/solutions to customers with ease. Lead pre-sales activities to drive proactive customer engagements, understand customer business challenges and utilize insights to create new business opportunities with differentiated value propositions. Partner with sales teams to drive opportunities to closure and with delivery teams to ensure customer success. Own customer relationships with technical decision makers. Please ignore any salary ranges on the job board - there is flexibility depending on the successful candidate's profile.

Job DescriptionFund Strategy Specialist Location: New York, NY Employment Type: Full-Time Estimated Compensation: $140,000 – $185,000 total annual compensation (varies by employer) About This Posting This job description represents a sample Fund Strategy Specialist position commonly found through the Career Launch AI Talent Network. It is intended to help job seekers understand the responsibilities and qualifications typically associated with early- to mid-career roles focused on fund strategy, product design, capital deployment, and lifecycle management across private capital and alternative investment platforms. Actual openings may vary based on employer type, fund strategy (e.g., private equity, venture capital, private credit, real assets), fund size, and stage of the fund lifecycle. For more information on the Career Launch AI Talent Network, visit: https://www.careerlaunch.ai/ Position Overview Fund Strategy Specialists support investment and platform leadership by shaping and evaluating fund-level strategies across fundraising, capital deployment, portfolio construction, and performance management. The role emphasizes strategic analysis, fund design, and long-term planning, rather than transaction execution or day-to-day trading activity. These professionals collaborate closely with investment teams, capital formation, portfolio management, operations, and external advisors to ensure fund strategies are aligned with market conditions, investor expectations, and return objectives. Key Responsibilities Support development and refinement of fund strategies, structures, and investment mandates Analyze market trends, investor demand, and competitive fund positioning Assist with capital deployment planning, pacing models, and portfolio construction frameworks Evaluate fund performance relative to stated objectives, benchmarks, and peer groups Support fund lifecycle activities including launch, scaling, and wind-down planning Prepare strategy materials for internal leadership, investment committees, and stakeholders Conduct scenario analysis to assess fund-level risks, returns, and capital efficiency Collaborate with capital formation teams on fund positioning and messaging Build and maintain analytical tools, dashboards, and reporting for fund strategy insights Translate complex analysis into clear, actionable recommendations Preferred Qualifications Bachelor’s degree in Finance, Economics, Business, Mathematics, Engineering, or a related field Strong interest in fund strategy, alternative investments, and long-term capital planning Foundational understanding of fund structures, private markets, and investment vehicles Experience or coursework in investment strategy, portfolio construction, or fund analytics (preferred but not required) Strong analytical, modeling, and problem-solving skills Proficiency in Excel and PowerPoint; familiarity with Python, SQL, or financial modeling tools is a plus Ability to manage multiple strategic workstreams in a deadline-driven environment Strong written and verbal communication skills Strategic mindset with attention to detail and execution About the Career Launch AI Talent Network The Career Launch AI Talent Network helps job seekers pursue opportunities similar to this role through: Skills-based role matching for fund strategy and platform roles Resume and profile optimization for private capital and alternative investment teams Guidance on outreach to fund leadership, strategy, and platform groups Interview preparation for fund strategy, case studies, and analytical assessments To learn more or express interest in fund strategy opportunities, visit: https://www.careerlaunch.ai/

Job Description About Us We are a strategy and innovation consultancy that helps organizations thrive in the face of change. Thorny problems are our strong suit. We’re a team of consultants who are energized by big, messy problems. We are strategists, analysts, designers, and editors who bring agility and flexibility to projects focused on stemming chronic disease, closing the skills gap, rethinking the future of work, supporting digital transformations, using data to make smart cities safer, developing sustainable business models, and making moonshot investments. We help companies thrive in the face of change. Our clients are “innovation mavericks” — leaders inside global corporations, nonprofits, and federal agencies who are tasked with helping their organizations adapt to the technological, economic, political, and social norms of the 21st century. We’re the strategy and innovation consultants they call when there’s no playbook for the problem they’re trying to solve. Our open innovation practice was established in 2011. We are particularly focused on open innovation for impact, making use of incentive prize mechanisms to accelerate innovations such as artificial organs (Artificial Kidney Prize), early biothreat detection (DHS Hidden Signals Challenge), access to career and technical education (the Ed Prizes challenge series), and improving our understanding of Earth’s magnetism (NGA MagQuest). We have an equal appreciation for strategy and execution. We offer our clients the upfront thinking that goes into careful strategy development and can become partners in execution to ensure those strategies are implemented. We believe that career choices are not binary; you can have a challenging and rewarding career as part of a high-performing team and also live your life. Our clients appreciate that we bring the highest level of excellence to everything we do, and our team appreciates that we are extraordinarily efficient so that you aren’t expected to be online later. Please note: for employment at Luminary Labs, you must be fully vaccinated (including booster) for COVID-19 to ensure compliance with enhanced health and safety protocols. The Role Luminary Labs seeks Senior Associates to develop strategies and oversee program execution for our Fortune 500, nonprofit, and government clients. Please note that our team has embraced a hybrid model for our five-day work week, with two synchronous days in the office and three days wherever you work best. This role is based in New York City and will join our team in the office on Tuesdays and Wednesdays most weeks. About You You have earned your analytical chops and are a big-picture thinker who is comfortable identifying connective patterns and crafting a story from research and analysis. You are known for being a flawless executor while keeping projects on time and on budget. Your positive attitude and exceptional people skills are an asset. You are hungry to learn and grow while delivering results that exceed client expectations. You care about the impact your work has on the world and have been looking for a career path that is both high-performance and high-impact. People love to have you on their team. You love to be part of a team. Role and Responsibilities • Lead key work streams. Own project work plans, from conducting market, competitive, and digital analysis and research to developing and launching open innovation challenge programs. Manage junior team members on work streams to ensure high-quality execution, and effective managing up of key deliverables., • Serve as a client champion. Earn respect and trust of our clients to serve as a go-to point-of-contact. Maintain empathy and perseverance to make change in large organizations., • Connect the dots. Quickly get up to speed on new client industries, and keep your finger on the pulse of incumbents and newcomers. Identify key nodes in any given industry network, participate in industry events, stay abreast of relevant news and trends, tap into the network to drive value for our clients, and contribute to thought leadership work., • Communicate the vision. Craft presentations and storytelling, both internally and with clients, leveraging the team’s insight and analysis. Contribute to strategy formulation and help to create “the big idea” for our clients., • Drive business growth. Support the development of new business proposals and pitches and deepen value with existing clients. Support company growth by participating in the ongoing recruitment of talent.Desired Skills and Experience, • MBA or Undergraduate degree or equivalent experience, • 4-5+ years experience working with clients or teams who trust you implicitly; 2-3+ years of client services experience preferred, • Demonstrated work and/or educational experience in synthesizing data, drawing meaningful insights, and providing actionable strategies; an understanding of best uses and constraints of digital analytics measurement is a plus, • Exhibit leadership qualities, knowing how to effectively bridge work flow between senior and junior team members to maximize productivity and efficiency, • Exceptional attention to detail - quick to catch internal inconsistencies in documents and strong ability to recall key insights and decisions that impact project thinking, • Good technological literacy and ability to quickly navigate the full functionality of tools like Word, Excel, Powerpoint, Dropbox, and Google Docs, • Early adopter of emerging technology for networking and intelligence gathering, • Stellar communication and presentation skills with a high EQ, demonstrating an ability to strike the right tone with clients in e-mails and verbal communications, • Ability to structure thinking in an easy to follow manner, • Strong numeracy; Excel skills a plus, • Are super-flexible, adaptable, realistic, practical, and agile, • Thrive in a fast-paced and dynamic environmentInvesting in our people is a high priority. Benefits include:, • Competitive compensation and formal bonus structure, • Health benefits package (80% of premium is covered for health, dental, and vision), • Competitive vacation package, • Paid family leave, • 401k plan with matching, • Pre-tax transit check, • Cell-phone reimbursement, • Fitness reimbursement, • Education stipend and growth opportunities, • Charitable donation matching, • Opportunities to mentor and be mentored Does this sound like you? Please submit your resume and cover letter. In your cover letter, tell us why you want to work at Luminary Labs, and describe three examples of ideas, companies, or teams that you consider to be at the forefront of innovation. Let us know your availability for employment. If available, please include examples of your own work or thinking online (blog posts, Slideshare examples). Candidates must be authorized to work in the US. No agencies please. The total compensation package for this role includes a base salary in the range of $95,000 to $115,000 plus a discretionary annual performance bonus. The starting salary for this role is at the lower bound of the salary range; an individual's starting salary will depend on the individual’s relevant knowledge, skills, and experience.

Job Description Job Overview We are seeking a dynamic and proactive Employee Relations Coordinator to join our Human Resources team. In this vital role, you will serve as a key point of contact for employee engagement, conflict resolution, and workplace communication. Your energetic approach will help foster a positive work environment, ensuring compliance with employment laws and promoting organizational growth through strategic employee relations initiatives. This position offers an exciting opportunity to influence company culture, support talent management efforts, and enhance overall workforce satisfaction. • Serve as the primary point of contact for employee questions, concerns, and workplace issues, • Support conflict resolution, disciplinary actions, investigations, and employee counseling, • Foster positive employee relations and a professional work environment, • Coordinate employee recognition and retention initiatives, • Conduct exit interviews and provide recommendations for improvement Human Resources Administration • Manage onboarding, orientation, and new hire documentation, • Schedule fingerprinting and create company photo IDs, • Maintain uniform compliance and company roster, • Maintain accurate personnel files and HR records, • Ensure compliance with federal, state, and local employment laws, • Track employee certifications, licenses, and required training, • Assist with policy development and implementation, • Maintain attendance, corrective action, and termination records Recruitment & Staffing • Screen applications and coordinate interviews, • Post job openings and manage recruitment pipelines, • Prepare offer letters and onboarding packets Benefits Support • Assist with benefits enrollment and employee changes, • Support workers’ compensation and unemployment claims Compliance & Reporting • Monitor compliance with company policies and industry regulations, • Prepare HR reports and workforce analytics, • Assist with audits and regulatory inspections, • Maintain confidentiality of employee and company information Qualifications • Associate or Bachelor’s degree in Human Resources, Business Administration, or related field preferred, • Minimum 2 years of HR or Employee Relations experience, • Experience in security, staffing, or service industry preferred, • Knowledge of employment laws and HR best practices, • Proficiency in Microsoft Office (Word, Excel, Outlook), • Experience with payroll systems preferred, • Strong organizational, problem-solving, and interpersonal skills, • Ability to handle sensitive and confidential information with discretion Required Skills • Strong verbal and written communication, • Employee conflict resolution, • Recruiting and onboarding, • Personnel file management, • Compliance monitoring, • Time management and multitasking, • Professionalism and confidentiality, • Data entry and reporting, • Security Industry Experience Benefits: • 401(k), • Flexible spending account, • Paid time off, • Retirement plan Work Location: In person

Job Description About the Role At NinjaOne, we're looking for a skilled Senior Data Engineer to join our Emerging Products team and help build the foundation of our modern data platform. You'll play a critical role in designing and scaling lakehouse architectures, building robust streaming and batch pipelines, and ensuring data flows reliably to the analysts and data scientists who depend on it. This is an exciting opportunity to work on greenfield infrastructure using a cutting-edge stack — Kafka, Spark, Iceberg, and Databricks — collaborate with cross-functional teams, and help shape how we harness data to power our next generation of products. Location — We are flexible on remote working from home, if you are located in the USA and reside in one of the following states: CA, CO, CT, FL, GA, *IL, KS, MA, MD, ME, NJ, NC, NY, OR, TN, TX, VA, and WA. We have physical offices in Austin, TX and Tampa, FL, if you prefer a hybrid option. *Onsite interviews maybe required for this role We hire the best data engineers, but experience in our stack can't hurt: our data platform is built on Kafka, Spark, Airflow, Iceberg, and Databricks; supporting large-scale distributed workloads across hybrid streaming and batch ecosystems. Knowing lakehouse architecture patterns, distributed query engines, and scalable pipeline design will set you up for success. What You'll Be Doing • Lakehouse Architecture: Design and implement Medallion-layer data architectures (Bronze, Silver, Gold), building structured ingestion pipelines and curated data layers that serve downstream analytics and data science workloads., • Pipeline Development: Build and maintain scalable streaming and batch data pipelines using Kafka, Spark, and Airflow, supporting reliable and low-latency data movement across the platform., • Table Format Management: Own and manage open table formats including Iceberg, Delta, and Hudi — selecting the right format for the workload and maintaining performance and reliability at scale., • Query Engine Optimization: Work with Trino/Starburst and Databricks-based environments to optimize large-scale analytics queries and support platform consumers., • Platform Reliability: Monitor pipeline health, troubleshoot data quality and performance issues, and continuously improve the reliability and efficiency of the data platform., • Collaboration: Partner closely with data scientists, analysts, and product teams to understand data requirements and deliver platform solutions that enable data-driven decision-making., • Other duties as needed. About You • Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or equivalent work experience preferred., • 10+ years of experience in data engineering with a strong focus on data platform and distributed systems., • Hands-on experience building and managing lakehouse architectures, including Medallion (Bronze/Silver/Gold) layering patterns., • Deep expertise in Apache Kafka, Apache Spark, and Apache Airflow for both streaming and batch pipeline development., • Proficiency in open table formats — Iceberg, Delta Lake, or Hudi — with the ability to evaluate trade-offs and select the right format for the workload., • Experience with Databricks for large-scale data processing and analytics workloads., • Strong proficiency in Python and SQL., • Experience that will make you a standout candidate:, • Hands-on experience with Trino or Starburst for distributed query execution., • Familiarity with hybrid streaming/batch architectures and event-driven data systems., • Experience designing Gold-layer datasets optimized for business intelligence and self-serve analytics. About Us NinjaOne unifies IT to simplify work for nearly 40,000 customers in 140+ countries. The NinjaOne Unified IT Operations Platform delivers endpoint management, autonomous patching, backup, and remote access in a single console to improve efficiency, increase resilience, and reduce spend. By automating IT and managing all endpoints, organizations give employees a great technology experience at work. NinjaOne is obsessed with customer success and has retained a 98% customer satisfaction score for more than 5 years. What You'll Love • We are a collaborative, kind, and curious community., • We honor your flexibility needs with full-time work that is hybrid remote., • We have you covered with our comprehensive benefits package, which includes medical, dental, and vision insurance., • We help you prepare for your financial future with our 401(k) plan., • We prioritize your work-life balance with our unlimited PTO., • We reward your work with opportunity for growth and advancement. Additional Information This position is NOT eligible for Visa sponsorship. Due to federal government security requirements associated with our FedRAMP-authorized environment, candidates must be U.S. citizens or lawful permanent residents. *Due to operational policies, NinjaOne is unable to hire for this role within the city limits of Chicago. We will consider all qualified candidates who reside outside of the city proper or are willing to self-relocate. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to location, market demands, experience, job-related knowledge, and skills. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage and PTO. For roles based in California, Colorado, Maryland, New Jersey, or Washington the base salary hiring range for this position is $110,000 to $200,000 per year. For roles based in New York, the base salary hiring range for this position is $110,000 to $200,000 per year. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, veteran status, or any other status protected by applicable law. We are committed to providing an inclusive and diverse work environment.

Job DescriptionAbout us Health is the most important thing in life, and the American healthcare system is completely broken - poor outcomes, high cost, bad patient experience. We're building a new system from the ground up. Our mission is to improve people's health by making it easy to live a healthy lifestyle. Nourish is the country's largest dietitian-led metabolic health clinic. We're an AI-native digital health system matching patients with 10,000+ Registered Dietitians, physicians, medications, lab testing, and AI agents to deliver insurance-covered care across all 50 states. Founded four years ago, we've completed millions of appointments, tripled year-over-year, and partnered with health plans covering 200M+ Americans across 250+ health systems. In 2026 we raised a $100M Series C, bringing total funding to $215M. The round was led by Menlo Ventures, with participation from Thrive Capital, Index Ventures, J.P. Morgan Growth Equity Partners, Maverick Ventures, Y Combinator, BoxGroup, Atomico, Daybreak, and Operator Partners. Learn more about our Series C here: Nourish Blog, Bloomberg, Fierce Healthcare, Digital Native, The Pulse Podcast. This is not a job for everyone. We hold an extremely high bar because we believe talent density is our biggest competitive advantage. We're looking for people who actively choose hard, ambiguous problems, who run toward unglamorous work, give and receive candid feedback, and bring relentless resilience without the ego. Our work is important, but we are not self-important. We do this because we're solving one of the hardest problems in the world, and the problem matters. If that's you, we disproportionately reward it. About the role As a Tech Recruiter on our growing Talent Acquisition team, you'll partner closely with the TA, exec, and EPDA (Engineering, Product, Design, Analytics) leadership on attracting and acquiring top talent for all technical functions. This is a full-cycle recruiting role with total ownership across sourcing, screening, and candidate / pipeline management. You'll be directly responsible for growing our technical teams while maintaining an extremely high bar which will require creative thinking and partnering across the business. This is an exciting opportunity with high exposure, visibility, and business partnering! This role is full-time and only open to NYC-based candidates (hybrid schedule - 2+ days/wk). Our office is in the heart of Gramercy. Key responsibilities: • Manage the full recruiting lifecycle end-to-end for all technical openings (sourcing, screening, scheduling and everything in-between), • Partner with functional leaders and greater TA team to understand hiring needs and execute effective recruiting processes, • Provide a stellar candidate experience that is transparent, considerate, and timely, • Proactively attract and engage world-class talent through various strategies (active and passive sourcing campaigns, job boards, conferences, social media, employee networks, outside agencies, internal hires, etc), • Continuously strengthen the Nourish employer brand & hiring process; our success depends on how well we hire and you'll introduce new ideas, best practices, influence the business to set a gold standard for talent acquisition.We'd love to hear from you if:, • You have 4+ years of recruiting experience, with at least 1+ year of technical recruiting experience, • You've worked at an early-stage startup that has experienced fast growth., • You enjoy every part of the hiring process, from sourcing to signing, and love having end-to-end ownership. You have a headhunter mindset - you go find the best talent; you don't wait for it to come to you., • You're deeply passionate about building exceptional teams and advocating for all parties in a hiring process., • You want to hustle. You're scrappy and comfortable with the ambiguity of early stage startups and want to work hard., • You have a track record of hitting and exceeding headcount targets without sacrificing candidate quality., • You're data, systems & process oriented, with an expertise in leading TA tools, • You feel personally connected to Nourish's mission and are excited by the opportunity to help people live longer, healthier lives. More information The Nourish Bar Our Values Why Nourish Exists How We Work Comp Philosophy Benefits Please note that you must be legally authorized to work in the U.S. for this position. #LI-HYBRID

Job Description Job Title: Senior Product Manager – API Integrations & Technical Support Location : Hybrid Compensation : 50-60$/Hr on C2C/1099 Work Authorization: GC, USC Position Summary We are seeking a Senior Product Manager to lead the strategy, design, and execution of enterprise API integrations and technical support solutions across our healthcare payer ecosystem. This individual will play a key role in enabling secure, scalable, and standards-based interoperability between internal systems, provider networks, third-party platforms, and regulatory agencies. This role demands a deep understanding of API lifecycle management, healthcare data standards (e.g., HL7, FHIR, X12), and enterprise integration strategies, combined with strong leadership and cross-functional collaboration skills. The ideal candidate will have experience delivering technical solutions in complex healthcare payer environments, with a focus on performance, reliability, and supportability. Key Responsibilities · Lead the product lifecycle for API integration capabilities — from strategy and roadmap definition through development, deployment, and ongoing support. · Define and maintain API product specifications, data models, standards, and usage documentation to enable secure and consistent integrations across payer platforms. · Partner with engineering, architecture, data governance, and business stakeholders to map source systems and data requirements to external and internal integration needs. · Drive alignment between business requirements (e.g., provider access, claims integration, eligibility checks) and technical delivery, ensuring APIs meet the performance, security, and compliance needs of a healthcare organization. · Collaborate with technical support teams to define and evolve API error handling, monitoring, versioning, and issue resolution protocols. · Lead technical support strategy for APIs, ensuring partners and developers have the tools, documentation, and guidance needed for successful integration. · Work with analytics and engineering teams to analyze API usage patterns, identify performance issues or opportunities, and define KPIs for platform reliability and customer satisfaction. · Facilitate cross-functional planning and agile execution, including backlog grooming, sprint prioritization, and go-to-market readiness. · Support enterprise interoperability and compliance initiatives (e.g., CMS Interoperability Rule, TEFCA) by managing APIs and integrations aligned with regulatory requirements. Required Qualifications · 7+ years of experience in product management or technical product leadership, including 3+ years specifically focused on APIs and system integrations in a healthcare payer or similarly complex, regulated environment. · Strong understanding of payer business domains, including claims processing, eligibility and enrollment, provider systems, and EHR/EMR integration. · Proven ability to write or review API specifications and documentation (e.g., Swagger/OpenAPI), data models, and integration guides. · Experience with data mapping, source-to-target documentation, and working with enterprise data teams to align API functionality to source systems. · Deep familiarity with RESTful API design, API lifecycle management, and platforms like Apigee, Mulesoft, AWS API Gateway, or equivalent. · Strong understanding of FHIR, HL7, X12, and other healthcare interoperability standards. · Ability to analyze and report on technical issues, usage trends, and integration KPIs. · Excellent collaboration and communication skills; ability to interface effectively with engineers, business teams, and external partners. · Hands-on experience supporting technical troubleshooting and resolution for partner or internal developer API issues. Education · Bachelor's degree in Computer Science, Information Systems, Healthcare Administration, or a related field required. · Master’s degree or certifications in Product Management, Healthcare IT, or Cloud/Integration Platforms preferred. Preferred Experience · Experience working with or integrating provider portals, clearinghouses, or EHR platforms (e.g., Epic, Cerner). · Knowledge of CMS interoperability regulations, ONC guidelines, and payer data exchange requirements. · Familiarity with service-level management for APIs, including uptime SLAs, support tiers, and incident response. · Prior involvement in modernizing legacy systems or leading digital transformation initiatives in payer environments.