High Fidelity Wraparound Field Case Manager Jobs

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 High-Fidelity Wraparound (HFW) Case Manager (CM) is a person who safeguards that the principles of the wraparound process are delivered with the highest possible fidelity to the model. Hours for this position are Monday - Friday 8:00am - 5:00pm. This position is located in the Lakes Region, including the counties of: Ballard, Caldwell, Calloway, Carlisle, Christian, Crittenden, Fulton, Graves, Hickman, Hopkins, Livingston, Lyon, Marshall, McCracken, Muhlenberg, Todd and Trigg. Position requires at least 50% travel within region and, possibly at times, outside region, if necessary. The HFW CM offers consultation and education to all providers regarding the values of the wraparound process, monitors progress toward goals, and assures that all necessary data for evaluation are gathered and entered. The HFW CM helps the youth and family develop and integrate their natural support system and to manage their own services, supports, and plan. Duties: The HFW CM is responsible for completing a comprehensive strengths-based assessment/screening (Health Risk Questionnaire, Pediatric assessment, and any other applicable) of the individual Working in full partnership with the High-Fidelity team members to develop and i

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Information Security Team We believe security isn't just a function—it's a platform for bold ideas. The Information Security Team at Mixpanel is a small, high-impact group committed to building a frictionless security program that serves as a model for our company and the broader industry. This is a team for those who are never satisfied, who dream big, and who have the resilience to see those ideas through. We operate at the intersection of business strategy and technical execution, where we are critical partners to every team at Mixpanel. Our work requires a broad, generalist skill set across vulnerability management, threat detection, and access management. We strategically balance necessary compliance work with proactive initiatives, with a constant focus on automation as the path to a more efficient security program. We use our expertise in a variety of well-known security platforms and tools to create seamless, automated processes that empower our peers. We are a lean team by design, and we succeed or fail together, committed to transparent communication and a strong sense of ownership. Responsibilities Domain Ownership: Serve as the domain expert for Detection & Response, integrating telemetry from across our entire ecosystem—including Product, Cloud, Corporate Infrastructure, and Identity—to build a unified, high-fidelity detection and response engine. Technical Project Execution: Translate high-level project requirements and technical scoping documents into actionable milestones, managing task delivery and driving cross-functional results. Architect Modern Detection: Design and imp

As Engineering Manager for Threat Detection, you will lead a high-performing team that powers Datadog's detection program. Threat Detection is the organization responsible for keeping Datadog ahead of an evolving threat environment: closing coverage gaps faster, raising the bar on signal quality, and shipping detections that hold up under the scale and complexity of cloud-native infrastructure. Your team will combine direct detection expertise, platform engineering, and applied AI to ship detections at a pace and scale traditional rule-writing alone cannot match. Examples of what your team will work on include detection-authoring agents, the detection platform that powers every rule in production, coverage analysis, alert triage and response automation, and the evaluation infrastructure that holds these systems to a high bar of fidelity. Detection authorship is a shared responsibility across the organization, and your team will contribute both by building the systems that scale our authoring capacity and by writing detections directly when their domain expertise is the right tool. You will partner closely with our Security Incident & Response Team (SIRT), Cyber Threat Intelligence (CTI), AI Engineering teams, and Datadog's broader Security organization. This is a high-impact leadership role: you will grow a team of security and software engineers responsible for building and executing our detection and AI strategy. 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 the strategy, roadmap, and execution of Datadog Security's shift to AI-accelerated detection and response. Drive development of high-fidelity detections as a shared responsibility across the organization, ensuring your team's systems and direct contributions raise the bar on coverage and

NVIDIA is seeking a Senior System Architect: Heterogeneous EDA Systems to solve a complex challenge in accelerated computing: Failure Attribution at Scale. As EDA or equivalent experience workloads scale across thousands of heterogeneous nodes, a single failure can cause massive resource waste. We need an engineer to develop and build an automated framework. This framework will ingest telemetry from CPU and GPU clusters to identify the root cause of job failures in real-time. It will distinguish between hardware faults, infrastructure instability, and software defects. What you'll be doing: Architect Failure Attribution Frameworks: Build a scalable "flight recorder" for EDA jobs that captures high-fidelity state across the CPU, GPU, and Fabric at the moment of failure. Build automated diagnostics that correlate GPU XID errors, PCIe bus failures, and CUDA memory exceptions. Connect these errors with system-level events such as OOM kills or NUMA-related hangs. Distributed Logging & Tracing: Implement low-overhead tracing mechanisms (using tracing tools or custom agents) that provide access to job execution across multi-node Slurm or Kubernetes clusters. Root Cause Automation: Develop heuristics and models based on machine learning to classify failures as "Hardware Fault," "Software Bug," or "Environment Issue." This reduces the Mean Time to Identify (MTTI) for R&D teams. Resiliency Engineering: Work closely with hardware and infrastructure teams to define "signals of impending failure," enabling proactive job migration or check-pointing before a crash occurs. What we need to see: Distributed Systems Mastery: BS, MS, or PhD in Computer Science or Electrical Engineering (or equivalent experience) with 6+ years in systems programming. Experience building automated

Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world’s most important decisions. We’re looking for an AI Product Manager to own the Finance vertical within our Agents Data & Reinforcement Learning Environments team. In this role, you’ll own both the development of RL environments (the realistic, high-fidelity simulations of financial software and workflows that labs use to train and evaluate agents) and the “data as a product” strategy that powers them. You’ll understand where AI is being used in the Finance industry, decide what financial tasks are worth modeling, how to source and structure the underlying data, and how to turn deep domain knowledge into a defensible product. The ideal candidate has lived inside the Finance industry, and is able to pair that domain understanding with a sense for AI research and current agent capabilities in Finance workflows. You’ll translate that expertise into environments and datasets that teach AI agents to perform real financial work, and you’ll be the domain expert Scale’s most important customers and their leading researchers turn to. A strong entrepreneurial & go-to-market mindset will be necessary. What You’ll Do Own the Finance AI roadmap & data strategy: Set product direction for the Finance agents training stack and the data strategy behind it. Establish a vision for where AI is continuing to transform the Finance industry (including investment banking, private equity, public markets, corporate finance, FP&A, etc), driving execution across engineering, operations, and go-to-market teams. Build partnerships with research teams at frontier labs: Work directly with researchers at leading AI labs to understand where their Finance agentic capabilities fall short and shape new product lines and competit

Role Overview We are seeking a Staff Simulation Engineer to build an end-to-end aerial autonomy simulation stack at DoorDash Labs. This is a highly technical, hands-on leadership role focused on defining and implementing the simulation architecture that underpins autonomy development, validation, CI/CD testing, and pilot training. You will operate as the technical authority for simulation: owning core architecture decisions, developing key components yourself, and setting engineering standards. You will build and mentor a small, high-caliber simulation team while remaining deeply involved in implementation and system design. This role is ideal for someone who has built simulation systems from first principles, understands simulator internals deeply, and is excited to create a world-class platform from scratch. Key Responsibilities Architect and implement an end-to-end simulation stack for aerial autonomy at DoorDash Labs.. Develop high-fidelity simulation capabilities, including: Flight dynamics modeling Contact modeling and constraint handling Sensor and perception simulation Autonomy software-in-the-loop (SITL) integration Design and implement scalable simulation infrastructure to support: Regression testing in CI/CD pipelines Continuous validation of flight autonomy and autopilot software stack Mission-level testing and scenario generation Build cloud-deployed simulation systems to enable large-scale parallel testing and pilot training. Partner closely with autonomy, controls, and aircraft teams to ensure simulation fidelity and validation alignment. Establish technical direction, architecture standards, and performance benchmarks for simulation. Mentor and grow a small team of simulation engineers while remaining deeply hands-on. Required Qualifications Master’s or PhD in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, Aerospace Engineering, or a related field. 10+ years of experience in robotics or physics-based simulation. Deep expe

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. About IRL Researchers at UC Berkeley have identified a “100,000-year data gap” - the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments - kitchens, warehouses, hotel floors, homes - to capture the high-fidelity task data that the world’s leading Robotics labs use to train their foundation models. Read more here. Role Overview We are building one of India's largest commercial video data collection networks. As a Zonal Data Captain, you will own the business pipeline for your assigned zone. Your primary responsibility is to find businesses, convert them for on-site video data collection, and keep the recording engine in your territory active every single day. You will spend your days in the field meeting business owners, converting them, and expanding into new towns mapped to your zone. Position: Field Officer We are looking for proactive and responsible individuals to join our team as Field Officers. In this role, you will visit commercial spaces, assist businesses with our video recording equipment, and ensure smooth day-to-day coordination and support. Key Responsibilities • Visit commercial spaces and business locations regularly • Install and provide guidance on video recording equipment • Help businesses capture day-to-day operational recordings • Manage and m

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. About IRL Researchers at UC Berkeley have identified a “100,000-year data gap” - the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments - kitchens, warehouses, hotel floors, homes - to capture the high-fidelity task data that the world’s leading Robotics labs use to train their foundation models. Read more here . Role Overview We are building one of India's largest commercial video data collection networks . As a Zonal Data Captain , you will own the business pipeline for your assigned zone . Your primary responsibility is to find businesses, convert them for on-site video data collection, and keep the recording engine in your territory active every single day . You will spend your days in the field meeting business owners, converting them, and expanding into new towns mapped to your zone . Core Compensation & Target Fixed Salary: ₹25,000 / month Performance Incentives: Up to ₹95,000 / week* Core Target: 8 business conversions / day *Incentive Note: Incentives are performance-based and linked to verified conversions, recorded hours generated from your converted businesses, and quality/consistency of execution . All conversions and hours are subject to verification before payout . A detailed slab structure will be shared at the offer stage . What You'll Do 1. B

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. About IRL (Instawork Robotics Labs) Researchers at UC Berkeley have identified a “100,000-year data gap” - the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments - kitchens, warehouses, hotel floors, homes - to capture the high-fidelity task data that the world’s leading Robotics labs use to train their foundation models. Read more here . What you’ll do Lead Workforce & Operations: Drive day-to-day workforce management for Clippers, Graders, Regraders, SMEs, and ICs across shifts/sites, optimizing staffing, capacity planning, and throughput against SLA targets. Implement Quality Systems & Methods: Maintain the QMS and apply structured methods (RCA, CAPA, FMEA, 8D, SPC) to address recurring defects, calibration drift, gold-sample injections, and consensus checks. Own SOPs & Process Standards: Build, version-control, and continuously iterate SOPs for existing and new program launches, ensuring floor adoption and structured QA onboarding/re-calibration paths. Bridge Cross-Functional Teams: Translate engineering data requirements into floor-executable QA criteria, report field issues back with evidence, and represent QA in program launches and crisis calls. Drive Data-Led Quality: Monitor and analyze key QA metrics—defect/reject rates, inter-grader agreement (ka

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. About IRL (Instawork Robotics Labs) Researchers at UC Berkeley have identified a “100,000-year data gap”—the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments—kitchens, warehouses, hotel floors, and homes—to capture the high-fidelity task data that the world’s leading robotics labs use to train their foundation models. About the Role Instawork Robotics creates the highest-quality, highest-diversity datasets for robotics and physical AI. We work with leading robotics builders and research labs to solve one of the most important challenges in robotics: closing the data gap. As a Platform Engineer, you will build the products, services, tools, and infrastructure that power IRL’s data collection, processing, and quality workflows. This is a hybrid product and infrastructure role: you will design platform capabilities for application engineers while also owning the reliability, scalability, cost efficiency, and operation of the systems behind them. You will help shape the platform roadmap by understanding the needs of application engineers, prioritizing high-impact problems, and delivering simple, reliable, and scalable solutions. Who You Are - 5+ years of experience building and operating production software platforms. - Experience designing platform products, backend serv

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. About IRL Researchers at UC Berkeley have identified a “100,000-year data gap” - the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments - kitchens, warehouses, hotel floors, homes - to capture the high-fidelity task data that the world’s leading Robotics labs use to train their foundation models. Read more here . Role Overview The Commercial Field Sales is responsible for onboarding commercial businesses onto the Instawork data collection platform, managing a team of Field Officers, and ensuring maximum recording hours across all active locations. The role combines business development, team management, and operational execution. A Data Captain has the opportunity to earn incentives up to ₹1,00,000 per week. Key Responsibilities Identify, pitch, and onboard commercial businesses (retail shops, kitchens, construction sites, workshops) for egocentric video data collection Ensure weekly hours targets are met across all onboarded businesses to hit slab bonuses Manage Field Officers who are stationed at business locations to supervise recording Coordinate device allocation with the office — ensure the right number of devices reach each location Maintain the business pipeline in the tracking sheet (Commercial Conversion Responses) Ensure business owners understand the p

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. About IRL (Instawork Robotics Labs) Researchers at UC Berkeley have identified a “100,000-year data gap” - the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments - kitchens, warehouses, hotel floors, homes - to capture the high-fidelity task data that the world’s leading Robotics labs use to train their foundation models. Read more here . Build. Scale. Operate. We’re looking for a hardcore operations leader who thrives in the real world — someone who has built and scaled large, distributed operations from the ground up and knows what it takes to turn an idea into an operation that actually works. This is not a role for someone who only manages dashboards, processes, or strategy decks. We’re looking for a builder and operator, someone who can start with a blank sheet of paper, build the team, design the processes, solve problems on the ground, and scale the operation without losing speed or quality. You’ll be operating in an environment where things change quickly, the problems are often ambiguous, and there is rarely a playbook to follow. What You’ll Do Build and scale operations from the ground up — define the operating model, build processes, hire teams, establish metrics, and create the systems needed to scale. Own large, distributed, real-world operations acro

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. About IRL (Instawork Robotics Labs) Researchers at UC Berkeley have identified a “100,000-year data gap” - the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments - kitchens, warehouses, hotel floors, homes - to capture the high-fidelity task data that the world’s leading Robotics labs use to train their foundation models. Read more here . Location: Bangalore Experience: 10+ years Industry: Automotive / Mobility / Robotics / Manufacturing About the Role Instawork Robotics creates the highest-quality, highest-diversity datasets for robotics and physical AI. We work with many of the most important robotics builders and research labs to solve the most important challenge in robotics - closing the data gap. We are looking for a Head of QA with 10+ years of experience in automotive, manufacturing, mobility, robotics, or a closely related industry. This person will own the end-to-end quality and data-labeling function across Quality Assurance, Quality Control, Visual Inspection, and process quality . This is a hands-on leadership role for someone who can build quality systems from the ground up, establish rigorous processes, lead teams, and drive a strong quality culture across operations and engineering. What You'll Do Own the QA/QC function: Build and lead the overall

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. About IRL (Instawork Robotics Labs) Researchers at UC Berkeley have identified a “100,000-year data gap” - the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments - kitchens, warehouses, hotel floors, homes - to capture the high-fidelity task data that the world’s leading Robotics labs use to train their foundation models. Read more here . Build. Scale. Operate. We’re looking for a hardcore operations leader who thrives in the real world — someone who has built and scaled large, distributed operations from the ground up and knows what it takes to turn an idea into an operation that actually works. This is not a role for someone who only manages dashboards, processes, or strategy decks. We’re looking for a builder and operator, someone who can start with a blank sheet of paper, build the team, design the processes, solve problems on the ground, and scale the operation without losing speed or quality. You’ll be operating in an environment where things change quickly, the problems are often ambiguous, and there is rarely a playbook to follow. What You’ll Do Build and scale operations from the ground up — define the operating model, build processes, hire teams, establish metrics, and create the systems needed to scale. Own large, distributed, real-world operations acro

Senior Product Designer (Web) ABOUT THE ROLE Peloton is seeking a Senior Product Designer to help define the customer experience on the Web Acquisition team. This role is focused on designing UX/UI for the consumer acquisition experience across the onepeloton.com website. The candidate must think in non-linear terms: capturing interactions, edge-cases, and the various states of these experiences through deliverables such as user flows, wireframes, prototypes to high fidelity final deliverables. They should be comfortable with an agile approach to design, with an emphasis on user testing and rapid iteration. Outside exceptional and high-velocity UX/UI thinking and execution, success in this role is dependent on being highly self-motivated, super organized, always open to feedback and critique, and extremely collaborative. Notably, this role and team focuses heavily on aesthetics and interaction, ensuring that look and feel tells a cohesive and compelling brand story. YOUR DAILY IMPACT Lead UX and UI for a range of projects across multiple strategic work streams, designing for our most complex E-commerce user journeys including shop and activation. Create user flows, wireframes, prototypes, and final pixel perfect deliverables based on requirements from Product and various stakeholders. Cultivate a deep understanding of Peloton’s existing product experience across multi-platforms as well as the design systems to ensure future iterations are executed with a cohesive experience. Work closely and collaboratively with UX Researcher, Content Designer, Product Managers, Engineers and various business stakeholders to fulfill the overall product/feature vision. Manage your bandwidth and project pipeline to execute designs in time with your team’s software roadmap. Build out multi-version comps for user testing and iterate quickly based on learnings found in user testing. Provide prototypes/deliverables to describe interactions and mot