People Analytics Analyst And Business Partner in United States

About the Team Like every team at OpenAI, the Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of artificial intelligence. With that aim in mind, we are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI’s products and platform amongst our core audiences. Our focus extends beyond just promoting product features; we aim to provide valuable insights and resources that help our users make the most out of AI technologies. The Marketing Insights & Analytics team aims to understand the markets, audiences, behaviors, attitudes and needs to shape outreach strategies and inform product and business decisions. We’re the strategic partner that discovers insights, specifically: foundational understanding, marketing strategy, thought leadership, measurement and tracking. About the Role You will be the Market Research Lead that translates insights into actionable marketing plans and executions, drive business results, and orient the team towards strategic thinking to drive brand outcomes. This is critical as we hope to reach millions of users and businesses worldwide. This role can be based in San Francisco, CA or NYC, NY utilizing a hybrid work model (3 days per week in-office). In this role, you will: Play an integral part of Marketing and be a strategic partner to brand, product marketing, creative, product and beyond. Design, execute, and deliver high-impact research using mixed methods. Work on a diverse portfolio of business challenges - how do we reach the next billion people, how do we grow internationally, how do we position our suite of products, and how do we ship joy to our customers. Translate business questions into research plans. Translate data into clear, compelling narratives. Develop deep empathy for developers, builders, and technical decision-makers, understanding their workflows, motivations, and pain points across the lifecycle Shape go-to-market str

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? We're building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most curious people to help us do it. As a Lead Data Scientist on our Analytics and Data Insights team, you'll tackle problems that don't have textbook answers yet; shaping go-to-market strategy for technology that's still being invented, designing the experiments that prove or kill our biggest bets, and helping enterprises understand what foundational AI actually means for their bottom line. You'll own the full analytical lifecycle, from framing the right questions and building the models, to leading a team that delivers answers leadership can act on. As a Lead Data Scientist, you will: Drive the mission forward. Own the science: design and lead experimentation programs including A/B tests, multi-armed bandits, causal inference studies, that directly map to product and go-to-market decisions. Build predictive models that matter: develop and deploy models for forecasting, segmentation, propensity scoring, and opportunity sizing across Cohere's core business lines. Lead and grow a tea

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? We're building the data infrastructure behind some of the most demanding AI training workloads in the world, and we want sharp, curious people to help us do it. In this role, you'll build and maintain the high-performance data layer our Modeling teams rely on for training and evaluation jobs. As a Software Engineer, Data Infrastructure, you will: Work directly on petabyte-scale storage infrastructure, and the networking and performance challenges that come with it. Collaborate daily with researchers and engineers who are some of the best in the world at what they do. You may be a good fit if you have: 4+ years of experience working on data storage infrastructure Strong command of Python Kubernetes experience, especially on the storage side (Persistent Volumes, CSI drivers, etc.) The ability to transform unstructured data into performant datasets across diverse storage backends including S3, GCS, and POSIX Experience with distributed data processing frameworks such as Apache Beam, Spark, or Flink [Nice-to-have] Familiarity with modern analytics tooling such as BigQuery, Airflow, or dbt Genuine excitement about AI.

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? We're building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most curious people to help us do it. As a member of our Analytics & Data Insights team, you'll tackle the kind of problems that don't have textbook answers yet, launch products that didn't exist a year ago, and help enterprises understand what foundational AI actually means for their bottom line. As a Data Engineer, you will: Work directly on new customer experiences built on one of the most advanced AI systems in the world Collaborate daily with researchers and engineers who are some of the best in the world at what they do Run implementations end-to-end and see initiatives through to real outcomes Partner across research, marketing, sales, and finance to help define how Cohere grows, with your recommendations feeding directly into products and strategy You may be a good fit if you have: 5+ years of experience working on production-grade data processing systems Strong command of Python and SQL Experience with distributed data processing frameworks such as Apache Beam, Spark, or

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? We're building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most curious people to help us do it. As a Data Scientist on our Analytics and Data Insights team, you'll work on problems that don't have textbook answers yet; building the analytics that shape product and company strategy, designing the experiments that prove or kill our biggest bets, and helping enterprise customers understand what foundational AI actually means for their bottom line. You'll own analytical work end-to-end: from framing the right questions and building the models to shipping insights, tools, and results that product leaders, sales teams, and enterprise customers rely on. As a Data Scientist, you will: Drive the mission forward. Build bleeding-edge agentic analytics: Agentic analytics is far from a solved problem, and we want to be the company that solves it. We need the sharpest minds with the curiosity, drive, and focus required to build the tools necessary to bring order and clarity to real world data. Define AI impact measurement: own the end-to-end analytics st

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ABOUT THE ROLE We are hiring the next generation of product managers. AI has collapsed the work that used to sit between an idea and a working version of it, and for the first time, PMs can be true builders. The PMs who win in this era do not manage the work. They build the product, every day, with their own hands. A Senior Product Manager owns a meaningful surface of ClickUp and is accountable for whether it gets better. You decide what to build and why, then go build a working version of it. You prototype in Cursor and Claude when an idea is faster shown than written. You live in the data and the customer signal, and the time between spotting a problem and having something people can react to is measured in days, not weeks. The PMs who compound the most impact at this level are the ones who keep finding leverage that did not exist last quarter. KEY RESPONSIBILITIES Own the vision, roadmap, and delivery for a defined product surface, balancing near-term wins with longer-horizon investments. Run continuous discovery. Building and using agents to monitor and synthesize that part of your job. Write sharp PRDs and specs that give engineering and design what they need to move fast without ambiguity. Define success metrics before you build, track them after you ship, and iterate when outcomes do not match expectations. Prototype your own ideas using Cursor, Claude Code, and our Prototype Playground. Show the concept before filing the ticket. Collaborate cross-functionally with engineering, design, analytics, and GTM without needing to be managed through the process. Present your roadmap and results clearly

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Role Summary Replit is the world's most widely used AI coding platform, and as we scale, we're rebuilding how compensation works internally from the ground up. This role owns that. You'll go beyond traditional comp management to architect the systems, data infrastructure, and AI-enabled workflows that make fast, consistent, and high-quality compensation decisions possible at scale. You will serve as the architect of our compensation engine: translating compensation philosophy into scalable systems, and leveraging data, automation, and AI to improve speed, accuracy, and transparency. This role sits at the intersection of compensation, product, and systems design. You will partner closely with People Business Partners, Recruiting, Finance, People Operations, and the Data team to embed compensation directly into company workflows—eliminating manual processes and reducing reliance on comp as a service layer. You will shape how we attract, reward, and retain top talent, while building infrastructure that scales with the business. What you'll own Compensation Strategy Evolve our compensation philosophy across cash and equity; design and maintain salary bands, leveling frameworks, and equity structures Ensure market competitiveness while partnering with Finance on cost and workforce planning AI-Native Workflows Design and implement AI-enabled workflows for offers, merit, promotions, and market adjustments Build human-in-the-loop validation frameworks to audit AI-generated recommendations for bias, accuracy, and logic Decision Support & Analytics Operate compensation planning cycles and generate first-pass recommendations for comp decisions Build dashboards and analytical frameworks covering market competitiveness, interna

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About the role We're hiring someone to build the playbook for how we drive practitioner adoption of new capabilities, and bring new practitioners into the platform. You'll pick a segment (data engineers, ML engineers, analytics engineers), pair it with a use case, and figure out what it takes to get practitioners from awareness to activation. That means developing real knowledge of your audience: what they care about, where they spend time, what resonates, and what falls flat. Then working cross functionally to assemble the right assets, sequence them into an exciting journey that leads to adoption, and getting your campaign in front of the right people across owned, paid, in-product, and partner channels. What you're building is a closed loop. Each campaign is instrumented so you can see what actually worked. Did practitioners activate? Did usage stick? How quickly did they find value? Each round of learning makes the next one sharper. The insights you generate don't stay with you; they feed back to marketing, product and account teams to drive broader adoption across organizations. If you want to own the full arc from choosing the audience to designing the playbook to shipping the campaign to building the feedback loops that make it all compound over time, this is that ro

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are looking for a Solutions Architect to be part of our Professional Services team. In this role there will be equal focus on both the process of selling Snowflake Professional Services engagements as well as the delivery of sold/billable engagements. This person must be a hands-on, self-starter who loves solving innovative problems in a fast-paced, agile environment. The ideal candidate will have the insight to connect a specific business problem and Snowflake’s solution, confidently communicating that connection and vision to technical and executive audiences. The person we’re looking for shares our passion for reinventing the data platform and thrives in a dynamic environment. That means having the flexibility and willingness to jump in and get it done to make Snowflake and our customers successful. It means keeping up to date on the ever-evolving data and analytics technologies and working collaboratively with a broad range of people inside and outside the company to be an authoritative resource for Snowflake and its customers. Location: Denver, Salt Lake, Arizona, LA AS A PROFESSIONAL SERVICES SOLUTIONS ARCHITECT, AT SNOWFLAKE, YOU WILL : Present Snowflake technology and vision to executives and technical contributors to customers. Position yourself as a Trusted Adv

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: We are currently seeking a Quantitative Risk Analysis Manager to join the Credit Analytics & Reporting team in the Single-Family division. This position will be tasked with managing a team responsible for reporting and analytics regarding Collateral offerings as well as Collateral model business user supports. The role requires deep understanding of data and current code base, designing analytical approaches for business questions and scenario evaluations, managing data research, analyses and preparation of reports and presentations. Our Impact: Our team is responsible for producing reporting packages to monitor trends and performance. We analyze different test and learn or pilot programs to assess risk of the offerings and create reports to monitor these offerings closely to assess broad roll out. We perform significant user activities for enterprise Collateral models for user acceptance testing and provide feedback. Your Impact: Manage a team of three to four people Complete baseline processes and reports monthly and interpret results as it relates to collateral risk management Follow appropriate controls and standards established to maintain and document for processes & reports. Participate in performing ad-hoc analytics in support of collateral policy Cleanse, manipulate and analyze large datasets using statistical software Collaborate with team members and interact across organizational lines to meet business objectives Qualifications: Degree in

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: Job Description Position Overview The Pre-Analytical Laboratory Technician II is responsible for preparing samples for analysis, recording, and/or verifying patient’s information. This role is primarily responsible for performing duties related to accessioning, sample management, problem resolution, data entry, and specimen storage with high degree of proficiency. A successful candidate would be expected to have the ability to swiftly pick up new laboratory process that they are trained in due to experience gained in previous laboratory roles. Potential candidates should be able to demonstrate that they have good documentation practices (GDP) knowledge. Shift: Tuesday - Saturday, 9:00am – 5:30pm Essential Duties Include, but are not limited to, the following: Perform laboratory tasks, as assigned. Clean and organize common lab areas and take responsibil

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 Pre-Analytical Laboratory Technician II is responsible for preparing samples for analysis, recording, and/or verifying patient’s information. This role is primarily responsible for performing duties related to accessioning, sample management, problem resolution, data entry, and specimen storage with high degree of proficiency. A successful candidate would be expected to have the ability to swiftly pick up new laboratory process that they are trained in due to experience gained in previous laboratory roles. Potential candidates should be able to demonstrate that they have good documentation practices (GDP) knowledge. Shift: Monday-Friday: 11am-7:30pm PST Essential Duties Include, but are not limited to, the following: Perform laboratory tasks, as assigned. Clean and organize common lab areas and take responsibility for all housekeeping tasks being completed on time. Receive, sort, and unpack incoming samples regularly. Unpack, log and track incoming samples using specified software regularly. Perform administrative duties required for incoming samples; including, but not limited to scan needed paperwork, such as pathology reports and requisitions and file physical paperwork per required procedures. Perform order entry and order processing such as in lieu of; including, but not limited to reviewing patient demographics and sample collection. Evaluate insurance and verify billing information. Transcri

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 Pre-Analytical Laboratory Technician II is responsible for preparing samples for analysis, recording, and/or verifying patient’s information. This role is primarily responsible for performing duties related to accessioning, sample management, problem resolution, data entry, and specimen storage with high degree of proficiency. A successful candidate would be expected to have the ability to swiftly pick up new laboratory process that they are trained in due to experience gained in previous laboratory roles. Potential candidates should be able to demonstrate that they have good documentation practices (GDP) knowledge. Shift: Monday-Thursday, Saturday: 9am-5:30pm PST Essential Duties Include, but are not limited to, the following: Perform laboratory tasks, as assigned. Clean and organize common lab areas and take responsibility for all housekeeping tasks being completed on time. Receive, sort, and unpack incoming samples regularly. Unpack, log and track incoming samples using specified software regularly. Perform administrative duties required for incoming samples; including, but not limited to scan needed paperwork, such as pathology reports and requisitions and file physical paperwork per required procedures. Perform order entry and order processing such as in lieu of; including, but not limited to reviewing patient demographics and sample collection. Evaluate insurance and verify billing information. <

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 Pre-Analytical Laboratory Technician II is responsible for preparing samples for analysis, recording, and/or verifying patient’s information. This role is primarily responsible for performing duties related to accessioning, sample management, problem resolution, data entry, and specimen storage with high degree of proficiency. A successful candidate would be expected to have the ability to swiftly pick up new laboratory process that they are trained in due to experience gained in previous laboratory roles. Potential candidates should be able to demonstrate that they have good documentation practices (GDP) knowledge. Shift: Monday-Friday: 11am-7:30pm PST Essential Duties Include, but are not limited to, the following: Perform laboratory tasks, as assigned. Clean and organize common lab areas and take responsibility for all housekeeping tasks being completed on time. Receive, sort, and unpack incoming samples regularly. Unpack, log and track incoming samples using specified software regularly. Perform administrative duties required for incoming samples; including, but not limited to scan needed paperwork, such as pathology reports and requisitions and file physical paperwork per required procedures. Perform order entry and order processing such as in lieu of; including, but not limited to reviewing patient demographics and sample collection. Evaluate insurance and verify billing information. Transcri

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&#43;, 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