Senior Support Analyst in United States

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: The Senior Manager, Financial Planning & Analysis for the Screening Business Unit will play a key role in shaping the financial strategy and performance of a $3B+, double-digit growth platform anchored by Cologuard and an expanding portfolio of next-generation screening products. This individual will be a strategic partner to Screening leadership, translating business performance and financial insights into action. The role will help identify growth opportunities, shape investment decisions, challenge assumptions, and ensure resources are deployed against the highest-value priorities. The Senior Manager will also lead a team of finance professionals and help continuously raise the level of financial planning, analysis, and decision support across the Screening organization. Essential Duties: Drive financial performance by identifying key business drivers, opportunities and risks, and partnering with leaders to translate insights into actions that improve growth and profitability. Shape business decisions by developing financial perspectives on strategic investments, commercial opportunities, resource allocation, and other critical

You will lead a small, hands-on engineering team building the secure, scalable Core Analytics Data Access Platform that accelerates Datadog’s Applied AI and analytics capabilities. The team owns the Data Access Platform — a unified interface that lets AI and analytics teams discover and self-serve production-ready datasets while abstracting underlying systems and embedding required legal and compliance guardrails. In this role you’ll own technical direction, contribute to design and code, and partner closely with Applied AI, Product Analytics, and internal platform teams to provide reliable datasets and APIs for model training and analysis. This role balances day-to-day engineering leadership with long-term platform planning. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead a Hands-On Engineering Team: Manage, mentor, and grow a small team of 2–4 data engineers (mix of senior and junior) across Paris and NYC, fostering technical excellence and career development. Own Technical Direction and Delivery: Define architecture, engineering priorities, and the team roadmap for the Data Access Platform, driving implementation of scalable, secure data pipelines and platform services. Contribute to Design and Code: Spend substantial time coding, reviewing, and shipping critical platform components to ensure performance, reliability, and operational excellence. Partner with Internal Stakeholders: Work closely with Applied AI, Internal Product Analytics, product managers, and platform teams to define data contracts, APIs, SLAs, observability, and curated analytical datasets. Ensure Data Security, Governance, and Reliability: Implement access controls, lineage, monitoring, and compliance guardrails to support safe model training and repeatable analytics workflows.

Systems Software Engineer, Missile Defense National Team (Associate, Experienced, Senior) Company: The Boeing Company The Boeing Company is looking for a Systems Software Engineer, Missile Defense National Team (Associate, Experienced or Senior level) to join our Missile Defense National Team in Colorado Springs, CO or Huntsville, AL. This position requires an active U.S. Secret Security Clearance for which the U.S. Government requires U.S. Citizenship. The Missile Defense National Team (MDNT) was established in 2004 to develop and deploy the Missile Defense Agency’s (MDA) Command, Control, Battle Management, and Communications (C2BMC) system. This system ingests data from sensors around the globe to create a single source of information for the warfighter to enable engagements. The C2BMC Program is a full lifecycle defense contract providing solutions across the engineering capability to include system architecture, development, deployment, operations and maintenance, and sustainment of the Missile Defense System (MDS). This work integrates efforts from multiple companies (teammates) with systems engineering experience in model-based systems engineering (MBSE), requirements development, modeling and simulation (M&S), network design, integration and test, and analysis. This position will focus on supporting the Ballistic Missile Defense System (BMDS). The Boeing Missile Defense Programs support the Missile Defense Agency's (MDA) mission to develop and deploy a layered Missile Defense System to defend the United States, its deployed forces, allies, and friends from missile attacks in all phases of flight. Be a part of our passionate and highly motivated team who are excited to be on the forefront of defense of

SUMMARY STATEMENT We are looking for a Solution Architect to design the technical solutions behind our client engagements and give delivery teams a clear, workable path from concept to production. You will work across enterprise data, software applications and GenAI - translating complex business problems into practical architectures that delivery teams can build and scale. This could include architecting an agentic workflow for clinical operations, a conversational analytics product grounded in enterprise data, or an AI-enabled decision platform for commercial teams. You will work directly with clients, define the architecture, test the most important technical decisions yourself and establish the foundations for successful delivery. This is an architecture-first role with meaningful hands-on engineering: you will stay close enough to implementation to prove the architecture works and support it through production delivery, without becoming the primary engineer for every component. You will also help shape the reusable patterns, technical standards and accelerators behind Lynx’s growing AI-native life sciences practice. KEY RESPONSIBILITIES Solution Architecture Own the end-to-end solution architecture for client engagements, including data models, system design, integration patterns and technology choices. Translate business requirements into clear technical designs and implementation paths that delivery teams can build from. Design solutions spanning enterprise data, APIs, applications, cloud platforms and GenAI capabilities. Lead technical discovery with clients: understand requirements, assess existing systems and identify dependencies, constraints and delivery risks. Present architectural options and trade-offs clearly to technical teams, business stakeholders and senior leaders. Make pragmatic decisions across build speed, cost, scalability, security and maintainability. Review key implementation decisions and remain

This is a senior individual contributor role for someone who wants to actively shape how Engineering, one of the most important parts of how Datadog develops its people. You'll sit at the center of Datadog's biggest talent bets for Engineering: how we build leaders, define career paths and org design, evolve performance, move talent internally, and plan succession for our most critical roles. You’ll own this work end to end, from the first framing conversation with senior leaders through to delivering a program running at scale. AI is changing how Engineering builds software, and it is changing how People builds the programs that support Engineering too. This role sits at the centre of both: understanding how AI is reshaping engineering roles, skills and structures, and building AI-powered solutions within People to keep pace. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Design and lead complex talent programmes for Engineering, spanning leadership capability, career architecture, org design, performance, internal mobility and succession for critical roles. Partner directly with PBPs and senior leaders to turn ambiguous problems into clear programme goals, design principles and success measures. Help Engineering and People understand and respond to how AI is reshaping roles, skills and ways of working, and translate that shift into practical talent and org design choices. Stay hands-on from concept through to adoption: this is a build and run role, not a strategy and handover role. Work across Enablement, Learning, People Analytics and People Systems so what you build scales and embeds into core people processes. Equip PBPs with frameworks, tools and executive-ready narratives that support real adoption in the business. Operate in ambiguity and influe

About the Role OpenAI is seeking a senior individual contributor to help shape and execute some of our most complex and high-impact commercial opportunities. As AI becomes increasingly important to how organizations operate, the ability to translate sophisticated products and commercial structures into clear, compelling customer narratives is a strategic advantage. In this role, you will serve as an embedded strategic partner to AMER account teams, with a particular focus on high-value, complex, and first-of-kind deals. You will work directly with sellers and cross-functional partners to lead the overall deal strategy, structuring, value narrative, negotiations, and business cases that bring business terms to contractual closure. You will also translate insights and patterns from individual deals into practical frameworks, tools, and resources that improve the quality and consistency of deal execution across the field. This role partners closely with Sales, Pricing, Deal Desk, Strategy, Revenue Operations, Finance, Product, and Legal to help OpenAI move quickly, strengthen proposal quality, and navigate complex commercial opportunities effectively. This role will report to the Americas Deal Strategy Leader. In this role, you will: Partner directly with AMER account teams on complex, high-value, and strategic opportunities, from initial deal strategy through customer proposal, negotiation, and deal closure. Develop deal strategies that bring together customer priorities, commercial considerations, competitive positioning, and OpenAI’s broader business objectives. Create executive- and CFO-ready proposals, ROI analyses, value narratives, and business cases for highly complex and/or first-of-kind deals. Support critical customer and executive conversations by presenting recommendations, business cases, and the rationale behind proposed commercial approaches. Build and maintain practical ROI frameworks, calculators, proposal templates, and value narratives that account

What you’ll do Own and evolve the Quality Management System (QMS) to support a regulated medical device development program, including design controls and DHF maintenance. Establish and enforce requirements traceability: user needs → design requirements → verification/validation artifacts and change control. Define and run the program-level V&V strategy (verification, validation, and test coverage), including test plans, protocols, reports, and acceptance criteria. Drive risk management activities (e.g., DFMEA / PFMEA, hazard analyses) and ensure mitigations are reflected in requirements and verification. Lead document control: reviews, approvals, training, retention, and audit readiness. Partner with engineering to make quality “native” to the dev workflow (automated testing, release gates, software configuration management). Prepare the program for audits and inspections, including hands-on audit leadership. What we’re looking for Senior experience leading quality for complex hardware + software products in a regulated environment. Deep familiarity with design controls, DHF, document control, risk management, and verification planning. Strong systems thinking and the ability to translate ambiguous product intent into testable requirements. Comfortable collaborating directly with multidisciplinary engineering (recon/ML, embedded, mechanical, EE, cloud). Useful experience Regulated product quality leadership (ISO 13485 / 21 CFR 820 or equivalent), including audit readiness and FDA-facing work. eQMS + document control fluency (e.g., Greenlight Guru) that integrates cleanly with modern engineering workflows.

About the Team OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. Our Industrial Compute organization develops and deploys large-scale AI campuses designed to support the next generation of frontier model training and inference workloads. The Hardware Operations team is responsible for ensuring the reliability, availability, and lifecycle health of OpenAI’s compute infrastructure. We partner closely with Data Center Operations, Fleet Health Engineering, Manufacturing, Network Infrastructure, Capacity Planning, and our infrastructure partners to maintain world-class operational performance across rapidly expanding AI environments. As we scale globally, we are building the operational frameworks, reliability standards, and sustaining engineering practices required to support thousands of GPUs and servers across multiple campuses. About the Role We are seeking a Datacenter Hardware Technician Lead to serve as the senior on-site technical authority for hardware reliability and fleet health at one of OpenAI’s flagship AI campuses. This role operates at the intersection of hardware operations, sustaining engineering, and fleet reliability. You will partner closely with Cloud Service Provider operations teams, OpenAI fleet-health engineers, hardware engineering teams, and OEM vendors to identify, diagnose, and resolve hardware issues affecting production systems. Beyond day-to-day operational support, you will drive root cause investigations, reliability improvement initiatives, lifecycle management programs, and operational readiness efforts. You will help establish hardware maintenance standards, operational procedures, and best practices that scale across future OpenAI infrastructure deployments. The ideal candidate combines deep hands-on datacenter hardware expertise with strong troubleshooting, failure analysis, and cross-functional leadership skills. Candidates must be able to sit onsite at our

The Defense Sector at Leidos is seeking a motivated TS/SCI cleared Network Administrator to support the installation, configuration, and day-to-day management of enterprise network infrastructure. This role is an excellent opportunity for an early-career network professional to gain hands-on experience with routing and switching platforms, including Session Smart Router (SSR) / 128 Technology SD-WAN solutions, in a structured and security-conscious environment. The ideal candidate demonstrates a solid foundation in networking fundamentals, a willingness to learn vendor-specific technologies, and the discipline to operate within DoD network standards. The job duties will be performed daily on site at Langley Air Force Base, VA. ​ Roles and Responsibilities: ​Assist in the configuration, deployment, and ongoing management of routers, switches, and Session Smart Router (SSR) appliances across enterprise and edge network environments. ​Support the design and implementation of routing policies, service policies, and traffic steering configurations on SSR/128 Technology platforms under senior engineer guidance. ​Perform LAN switching administration — including VLAN configuration, spanning tree, trunking, and port security — on Juniper EX Series and/or Cisco Catalyst platforms. ​Assist with the configuration and troubleshooting of routing protocols including OSPF and BGP (eBGP and iBGP) across enterprise WAN and data center environments. ​Monitor network health, availability, latency, and throughput using network management tools; escalate anomalies and assist in root cause analysis. ​Support configuration and maintenance of firewall rules, access control lists (ACLs), IPsec VPN tunnels, and other network security controls. ​Execute software and firmware upgrades, patch management, and lifecycle maintenance activiti

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Senior Data Scientist - Network Value (Credit) The Network Value Data Science team is helping Plaid build an industry-leading fintech consumer network with best-in-class products and user experiences. We are a product analytics team embedded in key product areas across Plaid. We support some of Plaid’s most important OKRs and help execute on product roadmaps. We translate ambiguous product questions into tractable analysis, serve as analytical thought partners throughout the org, identify opportunities to build better products, and champion a data-first decision-making approach everywhere we go. You’ll be a Data Scientist supporting Credit, a critical product area within Plaid’s Network Value portfolio. You’ll become a data and analytical thought partner to product managers, engineers, and cross-functional stakeholders, helping shape Credit product strategy, improve product performance and user experience, and grow Plaid’s consumer network. You’ll translate business questions into analytics projects, perform ad-hoc and strategic analysis, improve visibility into core systems through data modeling and dashboarding, create OKRs and KPIs tied to business goals and user experiences, a

We are seeking a Salesforce Engineer III to design, build, and support secure, scalable Salesforce solutions that support critical business operations. This is a senior individual contributor role requiring strong hands-on technical expertise, sound engineering judgment, and experience working in regulated environments. This position supports systems and data subject to FedRAMP and other U.S. government compliance requirements. Due to the nature of the work, U.S. citizenship is required. This role will be based remotely in the United States. What You’ll Do Design, build, and maintain Salesforce solutions across sales, service, customer, and operational workflows Implement functionality using Salesforce configuration, Flows, Apex, Lightning Web Components (LWC), SOQL, and platform automation Develop and support integrations between Salesforce and external enterprise systems Translate business requirements into secure, scalable, and maintainable technical solutions Participate in technical design reviews, sprint planning, code reviews, testing, deployments, and production support Troubleshoot and resolve issues related to automation, integrations, data integrity, and system performance Create and maintain technical documentation, support UAT and regression testing, and assist with user enablement Ensure all solutions comply with Salesforce best practices, internal security standards, and regulatory requirements Leverage AI-powered development tools to improve productivity and analysis, while adhering to security and compliance guidelines Responsibilities Technical Delivery: Own end-to-end delivery of Salesforce features using a mix of declarative and programmatic solutions Secure Engineering: Design and implement solutions that meet FedRAMP, security, and compliance requirements, including least-privilege access and auditability Integration Design: Build and maintain secure integrations between Salesforce and downstream systems Engineering Excellence: Maintain high st

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with architecture, infrastructure, and vendor teams to evaluate system performance and guide critical design decisions. Our team focuses on building and applying performance modeling frameworks to understand system behavior, quantify tradeoffs, and support next-generation infrastructure design. About the Role We are seeking an Performance Modeling Engineer to support the development and application of modeling tools used to evaluate AI system performance and inform architectural decisions. In this role, you will partner closely with Senior Performance Modeling Engineers and the Performance Modeling Lead to analyze system behavior, run simulations and analytical models, and help evaluate tradeoffs across compute, memory, networking, and storage. You will contribute to building modeling frameworks while developing a strong foundation in system architecture and AI infrastructure. This role is ideal for early-career engineers with 1–2 years of experience in software engineering, systems analysis, or performance modeling who are excited to grow in large-scale infrastructure and hardware/software systems. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. Key Responsibilities Support the development and maintenance of performance modeling tools and frameworks Assist in building models to evaluate system behavior across compute, memory, networking, and interconnect subsystems Help analyze distributed system scaling behavior and identify performance bottlenecks Run simulations and analytical models to support architecture and infrastructure decisions Partner with senior engineers to evaluate design tradeoffs across hardware and system components Interpret modeling outputs and help translate findings into clear recommendations Vali

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: Position Overview The Product Development and Automation Senior Scientist provides services of a technical nature to support the development, implementation, and maintenance of automation, IT, and software systems used in the clinical laboratory. The Product Development and Automation Senior Scientist will perform moderate and highly complex analytical processes to support feasibility and validation studies. This includes wet lab testing for feasibility, verification and validation of lab automation, workflow, and software. This role will also be responsible for performing user acceptance testing (UAT), and validation of Laboratory information system (LIS) system changes and upgrades. This role will collaborate with end users and LIS developers to address needed improvements to current modules, design requirements for new test systems, validation, and implementation of the changes. Once resources are identified, can get a project off the ground and running with minimal support from management. Can make new processes, systems, validation methods or projects successful. Essential Duties Include, but are not limited to, the following: Assist in UAT testing Edit and review controlled documents within the laboratory document control system to support changes or implementation of software and process changes. Contributes ideas and insights to new technologies, testing methodologies, applications, techniques or procedures that are creative and practical. Provides input

About the Team OpenAI’s People team hires, engages, and retains world-class talent to safely build and deploy AGI that benefits all of humanity. The People Analytics team helps leaders make rigorous, evidence-based talent decisions and ensures that the systems supporting those decisions are valid, reliable, fair, and accountable. About the Role As a People Data Scientist focused on AI fairness and bias testing, you will help establish how OpenAI evaluates AI-assisted People systems and high-impact talent processes. You will design and conduct rigorous assessments to identify, measure, and mitigate potential bias across the lifecycle of models, agents, decision-support tools, and automated workflows. Your work will span the entire employee life-cycle, such as hiring, performance, promotion, employee development, workforce planning, etc. You will evaluate both technical systems and the broader human-AI decision processes in which they operate, examining not only model performance but also data quality, measurement validity, differential outcomes, human oversight, and unintended consequences. We’re looking for an experienced data scientist or applied researcher who can translate complex fairness questions into defensible evaluation strategies, scalable testing infrastructure, and clear recommendations for technical teams and senior leaders. This role is preferred to be based in San Francisco, CA. In this role, you will: Define and lead fairness and bias-testing strategies for AI-assisted People processes, models, agents, and decision-support systems from development through deployment and ongoing monitoring. Design rigorous algorithmic audits and validation studies, including adverse-impact analysis, subgroup and intersectional evaluation, error-rate analysis, calibration, measurement invariance, reliability, criterion-related validity, and sensitivity testing. Identify the appropriate fairness criteria for each use case, evaluate tradeoffs among competing definitions

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Software Development Engineer is responsible for designing, developing, testing, and maintaining software applications and services under the guidance of senior engineers and technical leads. This role collaborates with cross-functional teams to deliver high-quality, scalable, and secure solutions while continuously building technical expertise and contributing to team objectives. The Software Development Engineer participates in all phases of the software development lifecycle, including requirements analysis, coding, testing, deployment, and production support. Required Qualifications 0–2 years of experience in software development, application development, or a related technical field. Basic knowledge of one or more programming languages such as Java, Python, C#, JavaScript, or similar. Understanding of software development principles, data structures, algorithms, and object-oriented programming concepts. Familiarity with relational databases, APIs, and web technologies. Experience working with source control systems such as Git. Strong analytical, problem-solving, and debugging skills. Effective written and verbal communication skills. Ability to work collaboratively in a team-oriented environment. Preferred Qualifications Internship or academic pr