Care Model Advisor Jobs

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Quality is our competitive advantage. Every member of our fully remote team is a maker at heart, caring deeply about the quality and feel of our work. While the industry optimizes for speed and metrics alone, we believe that craft and quality have lasting value. Quality creates gravity — it pulls people toward our team and product rather than requiring us to push. This philosophy drives everything we do, from product decisions to hiring choices. For this role, we expect robust design skills, sharp product thinking, and the ability to engage in technical discussions. We work in small, autonomous project teams, where engineers are paired tightly with designers to explore ideas, build prototypes, deploy internal builds, and ultimately ship to customers. You will be a key element of projects from beginning to end. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Pair closely with engineering and product to initiate and complete roadmap projects, no hand-offs Spot opportunities to redesign or refine key screens and flows, as well as smaller quality issues an

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Over the past few years, Linear has experienced incredible organic growth and has become an instrumental tool for many of the world’s best product teams. We are now layering a product-led sales motion on top of our existing self-serve business to accelerate our ambitions further and bring the magic of Linear to even more and larger companies. As an Account Executive at Linear, you’ll contribute to the future of our product and help high-impact companies build better software. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Become a product expert and help customers use Linear effectively; assist prospects through the trial and evaluation phase Generate a strong pipeline and exceed quarterly targets Build relationships with key stakeholders within accounts Be the voice of the customer; advocate for customers by surfacing product or adoption blockers to our product team What we're looking for 3+ years in a quota-carrying sales role Experience selling to a technical audience; bonus if you have previous experience working with a collaboration or developer

Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team. Our Values If this sounds like you, you’ll fit right in. Who You Are The Director, Payroll Business Lead is the Directly Responsible Individual (DRI) for the successful execution of the Payroll FY27 plan . You own the outcome — the bookings, the LTV, the margin trajectory, and the decisions that get us there. You are a business owner first with strong General Management instincts. You treat Payroll as a P&L and a growth engine to run, not a function to coordinate. You are comfortable setting commercial strategy, informing the pricing decisions, and getting into the operational detail when the numbers are off track. You thrive in creation environments where product, pricing, and operating models are still taking shape, and you bring the structure, discipline, and financial rigor to scale the business profitably. You lead through ownership and influence rather than headcount, and you are trusted to run a business line and deliver its results. You will report to the leader with oversight of our Acquisition System and Payroll business line, in the CMO organization. Your Success Profile What You Will Work On Owning the Payroll Business and Financial Outcomes Serve as DRI for the Payroll annua

Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team. Our Values If this sounds like you, you’ll fit right in. Department Data & Analytics Who You Are You are a data leader who understands that trustworthy analytics doesn’t happen by accident — it has to be built, maintained, and governed. You think in programs, not tickets. You’re energized by the challenge of setting standards that actually stick, and you know that getting adoption requires credibility, relationship-building, and a genuine understanding of what teams need from their data. You’re as comfortable writing SQL and reviewing dbt models as you are facilitating a stakeholder alignment meeting or coaching an IC through ambiguity. You see AI tooling not as a novelty but as a practical lever for scaling work that would otherwise be prohibitively manual, and you’re already using it that way. We are seeking a highly skilled and motivated Senior Manager, Data Governance to lead Justworks’ nascent Data Governance team. This is a player-coach role : you will manage a growing team of ICs while owning the programs, standards, and cross-functional relationships that make self-serve analytics at Justworks actually work. Your team’s mandate is to set and enforce the conditions under which ana

Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team. Our Values If this sounds like you, you’ll fit right in. Who You Are Do you have a passion for shaping organizations, developing talent, and creating systems that enable people and businesses to perform at their highest potential? Are you energized by solving complex organizational challenges and designing the future of work in an AI-enabled environment? Justworks is seeking a strategic and innovative Lead, Organizational Design & Talent Management to help shape how our organization evolves as work, technology, and business continue to change. This role will lead the evolution of our organizational design, talent management, and performance management practices, helping Justworks transition from traditional, role-based structures to dynamic, capability-based organizations that combine human judgment with AI-enabled execution. As an internal expert in organizational design and organizational effectiveness, you will help leaders think differently about how work gets done by reimagining operating models, decision making, workforce capabilities, and the interaction between people and AI. Your work will ensure our organization continues to scale with clarity, agility, and organizational leverage. T

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? As a Staff Engineer, you will be a leader within the team and a strong contributor to the engineering organization. You will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. You will coach and mentor other engineers and partner closely with the Engineering Manager to develop the team and to devise technical strategy. Learn more about our engineering culture at intercom.engineering What will I be doing? As an experienced engineer you will: Contribute to our technical architecture as we grow. We scale to service requests from all our customers’ customers. We’re growing and so are they. Care about agility as much you care for scalability and availability. Continuous deployment keeps us focused on incremental releases. Even our biggest technical achievements roll out piece by piece, feature flagged out of sight. Contribute to all phases of software development including ideation, prototyping, design

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? As a Staff Engineer, you will be a leader within the team and a strong contributor to the engineering organization. You will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. You will coach and mentor other engineers and partner closely with the Engineering Manager to develop the team and to devise technical strategy. Learn more about our engineering culture at intercom.engineering What will I be doing? As an experienced engineer you will: Contribute to our technical architecture as we grow. We scale to service requests from all our customers’ customers. We’re growing and so are they. Care about agility as much you care for scalability and availability. Continuous deployment keeps us focused on incremental releases. Even our biggest technical achievements roll out piece by piece, feature flagged out of sight. Contribute to all phases of software development including ideation, prototyping, design

The Applied AI team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection , error outliers and faulty deployment analysis . As an Applied Scientist you will work on building models and algorithms for machine learning powered features within the Datadog platform. You will work closely with our engineering and product partners to explore, build, scale and deliver these features that we incubate within the Applied AI team. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Design solutions for our different use cases. You will research and benchmark relevant algorithms to find the best fit for our use-cases Leverage machine learning algorithms and statistical techniques to build new scalable product features Develop, deploy and monitor new and existing features to production Participate in our journal club by reading and presenting the latest academic research papers to the team Explore, analyze and tell the story behind high volumes of data flowing through Datadog systems Maintain and monitor the models, services and infrastructure owned by your team Participate in your team’s on-call rotation Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or related scientific field or equivalent experience You have experience working with high-scale systems and datasets including building models, applying machine learning to real business problems, and writing production data pipelines You can explain complex ideas and algorithms to non-technical audiences You care about code simplicity and performance You are excited to work on

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. ABOUT THE TEAM + ROLE We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The AI R&D team is at the core of Robinhood's product intelligence. Our mission is to build and scale high-impact models that power personalization, search, social feeds, fraud detection, and risk management for millions of Robinhood users. We operate as a cross-functional partner to growth, product, and data engineering—translating complex financial data into intelligent systems that make Robinhood smarter for every customer. We move fast, raise the bar, and care deeply about building things that matter. If you've ever wanted to solve personalization problems no one else has cracked—in one of the most data-rich, regulated industries on the planet—this is the team for you! As a Staff Machine Learning Engineer on the AI R&D team, you will own the design and delivery of sophisticated personalization and recommendation systems that directly shape what millions of users see and do on the Robinhood platform. You'll be a technical anchor on a growing, high-caliber team — collaborating with product, data engineering, and fellow ML engineers to take ambitious ideas from zero to one and into production at scale. You'll help define the team's technical direction, mentor engine

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Growth Products team drives rider and driver acquisition to scale the business and balance the marketplace. We specialize in incentive and messaging targeting, budget optimization, and paid media measurement, and move rapidly to test new ideas and products. As a Data Scientist expert in causal inference and marketing mix models (MMM), you will lead our efforts to measure and optimize investments across marketing channels. Responsibilities: Deliver results across the entire lifecycle of data science solutions for Growth: from defining the problem with cross-functional stakeholders to deploying production models that address key business problems. Own complex domains and develop long-term roadmaps to maximize business impact. Build statistical pipelines, write production code, and design/analyze experiments. Participate in the science on-call rotation to ensure automated campaigns operate successfully. Experience: Advanced degree in statistics, economics, mathematics, or equivalent industry experience. 4+ years of industry experience in causal inference or data science. Proven ability to apply statistics to unstructured problems and deliver measurable results. Deep technical expertise in causal inference and tackling challenging measurement problems. Expertise in marketing mix modeling is highly preferred. Expertise in SQL and experience with large-scale data platforms. Proficiency in Python and working within production coding environments. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan with company match to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team membe

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Growth Products team drives rider and driver acquisition to scale the business and balance the marketplace. We specialize in incentive and messaging targeting, budget optimization, and paid media measurement, and move rapidly to test new ideas and products. As a Data Scientist expert in causal inference and marketing mix models (MMM), you will lead our efforts to measure and optimize investments across marketing channels. Responsibilities: Deliver results across the entire lifecycle of data science solutions for Growth: from defining the problem with cross-functional stakeholders to deploying production models that address key business problems. Own complex domains and develop long-term roadmaps to maximize business impact. Build statistical pipelines, write production code, and design/analyze experiments. Participate in the science on-call rotation to ensure automated campaigns operate successfully. Experience: Advanced degree in statistics, economics, mathematics, or equivalent industry experience. 4+ years of industry experience in causal inference or data science. Proven ability to apply statistics to unstructured problems and deliver measurable results. Deep technical expertise in causal inference and tackling challenging measurement problems. Expertise in marketing mix modeling is highly preferred. Expertise in SQL and experience with large-scale data platforms. Proficiency in Python and working within production coding environments. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan with company match to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team membe

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Growth Products team drives rider and driver acquisition to scale the business and balance the marketplace. We specialize in incentive and messaging targeting, budget optimization, and paid media measurement, and move rapidly to test new ideas and products. As a Data Scientist expert in causal inference and marketing mix models (MMM), you will lead our efforts to measure and optimize investments across marketing channels. Responsibilities: Deliver results across the entire lifecycle of data science solutions for Growth: from defining the problem with cross-functional stakeholders to deploying production models that address key business problems. Own complex domains and develop long-term roadmaps to maximize business impact. Build statistical pipelines, write production code, and design/analyze experiments. Participate in the science on-call rotation to ensure automated campaigns operate successfully. Experience: Advanced degree in statistics, economics, mathematics, or equivalent industry experience. 4+ years of industry experience in causal inference or data science. Proven ability to apply statistics to unstructured problems and deliver measurable results. Deep technical expertise in causal inference and tackling challenging measurement problems. Expertise in marketing mix modeling is highly preferred. Expertise in SQL and experience with large-scale data platforms. Proficiency in Python and working within production coding environments. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan with company match to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team membe

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Sitting within the broader Safety & Customer Care team, Lyft's Customer Care Operations organization manages over 1.7 million monthly customer interactions and serves as the company's primary direct touchpoint with riders, drivers, and businesses — spanning frontline support across multiple customer segments, a global BPO workforce, and the central functions that enable them to operate at scale. The Director of Business Planning & Central Operations is a newly created role at the center of how Customer Care runs and grows. This leader will ensure the org is resourced and positioned for the future, and will own the functions that keep Customer Care financially disciplined and execution-ready. Reporting to the Senior Director of Customer Care Operations, they will lead five functions: Planning & Forecasting, Workforce Management, Readiness & Integration, Vendor Management, and Support Excellence. What You'll Do Business Planning & Strategy Partner with the Senior Director to drive H1 and H2 planning — translating annual objectives into operational plans, investment decisions, and resource models. Lead the investment brief process: sizing opportunities, articulating trade-offs, and building the business cases that secure resourcing for strategic priorities. Drive capacity planning, scenario modeling, and long-range forecasting to ensure the internal and external workforce scales efficiently alongside platform growth and AI adoption. Define and operationalize OKRs across the portfolio, then build the rhythms and infrastructure — scorecards, business reviews, and performance dashboards — that hold teams accountable and give leadership clear visibility into progress and outcomes. Growth & Integrations Lead operational readiness for major product launches, external partnerships, and

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Sitting within the broader Safety & Customer Care team, Lyft's Customer Care Operations organization manages over 1.7 million monthly customer interactions and serves as the company's primary direct touchpoint with riders, drivers, and businesses — spanning frontline support across multiple customer segments, a global BPO workforce, and the central functions that enable them to operate at scale. The Director of Business Planning & Central Operations is a newly created role at the center of how Customer Care runs and grows. This leader will ensure the org is resourced and positioned for the future, and will own the functions that keep Customer Care financially disciplined and execution-ready. Reporting to the Senior Director of Customer Care Operations, they will lead five functions: Planning & Forecasting, Workforce Management, Readiness & Integration, Vendor Management, and Support Excellence. What You'll Do Business Planning & Strategy Partner with the Senior Director to drive H1 and H2 planning — translating annual objectives into operational plans, investment decisions, and resource models. Lead the investment brief process: sizing opportunities, articulating trade-offs, and building the business cases that secure resourcing for strategic priorities. Drive capacity planning, scenario modeling, and long-range forecasting to ensure the internal and external workforce scales efficiently alongside platform growth and AI adoption. Define and operationalize OKRs across the portfolio, then build the rhythms and infrastructure — scorecards, business reviews, and performance dashboards — that hold teams accountable and give leadership clear visibility into progress and outcomes. Growth & Integrations Lead operational readiness for major product launches, external partnerships, and

About the Team The Statsig team at OpenAI builds and operates the experimentation platform that powers product development, measurement, and decision-making across the company. We partner closely with product, engineering, and infrastructure teams to ensure experiments are trustworthy, statistically rigorous, and scalable to the needs of frontier AI products. Our mission is to help teams make better decisions through reliable experimentation. We care deeply about statistical correctness, pragmatic solutions, and building systems that researchers and engineers can trust at massive scale. The team operates at the intersection of experimentation methodology, data infrastructure, causal inference, and product analytics. We are looking for experienced experimentation experts who want to shape the future of experimentation in the AI era. About the role: We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI! In this role, you will: Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse. Develop canonical datasets to track key product metrics including user growth, engagement, and revenue. Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions. Implement ro