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Logistics at full potential. At GXO, we're constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you'll have the support to excel at work and the resources to build a career you can be proud of. Afternoon shift: Monday - Friday 2:30pm - 11:00pm Continue to Grow with GXO. At GXO, we know our greatest asset is pe…

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Business Risk & Insurance (BRI) team, part of Treasury, safeguards the company's balance sheet, people and physical assets. We are the financial and operational safety net for a company building some of the world's most advanced AI systems, from large-scale compute and data center infrastructure to our offices and the products we put in customers' hands. The team is scaling quickly as Anthropic grows. As a Risk & Insurance Specialist, you'll build operational excellence across contracts, claims, and day-to-day insurance operations, using AI and automation to streamline processes wherever you can. You'll work closely with Compute, Engineering, Finance, Legal, Security, Product and Payroll to spot emerging risks early, help structure global insurance programs, support our risk-financing strategy and drive loss prevention. This is a rare chance to insure one of the fastest-growing companies, where parts of the risk landscape are still being defined, and to help Anthropic pursue its mission boldly by keeping our operations resilient and protected. Key responsibilities Insurance review of contracts: Review insurance and indemnity requirements in customer, vendor, lease, and compute agreements, and advise Legal and business partners on compliant, practical positions. Insurance operations: Manage claims intake and tracking, certificates of insurance, broker coordination, and policy administration. Build a data warehouse / repository and repeatable processes as volume scales. Data gathering and reporting: Collect and maintain exposure data (property values, payroll, revenue, headcount, etc.) for renewals, audits, and underwriting submissions. Actuarial and quantitative analysis: Support limit-adequacy, loss, and retention analyses to inform program structure and decisions. Captive operations: Support captive formation and ongoing operations, including fronting and reinsurance coordination. Automation: Identify and implement ways to automate manual insurance workflows using AI and workflow tools. Cross-functional support: Partner with Compute, Finance, Legal, and Payroll on insurance questions across the business. Minimum qualifications Experience in insurance, corporate risk management, brokerage, underwriting, or risk consulting. Hands-on experience supporting a multi-line commercial insurance program (property, casualty, cyber/tech E&O, D&O/management liability, and similar). Preferred qualifications 8–12 years in insurance, corporate risk management, brokerage, underwriting, or risk consulting At least 4 years on the corporate (buyer) side, or in a broker or carrier role serving corporate clients Experience at, or insuring, a technology company or other fast-growing, complex organization Property insurance experience, including large or complex property, construction, or data center exposures Captive insurance experience (formation, management, fronting, or reinsurance) Experience insuring emerging technology risks, such as AI or technology liability and cyber Background at a major broker, carrier, or large technology company risk team Actuarial training or credentials, or experience with actuarial analysis Familiarity with insurance management systems, SQL or Python, or building workflow automation Experience building processes from scratch in an ambiguous, fast-moving environment The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $180,000 — $230,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Brand Insights, Measurement Lead at Anthropic, you will strengthen the evidence that fuels our brand decisions: knowing whether marketing spend and effort is working, saying so clearly on a schedule to the people who need to hear it. Marketing Insights turns market, campaign and user data into decisions that product, marketing, comms and sales leadership can act on. You'll tell us, with data, whether awareness is turning into consideration, whether consideration is turning into pipeline, and where that chain breaks down for a given audience. This role sits at the intersection of human understanding, marketing science discipline and organizational influence. In this role, you'll own the team's recurring measurement readouts, including the Prosumer and B2B brand health tracker studies and the metrics, headwinds and tailwinds that show up in front of business leadership and in all-hands updates, keeping them accurate, current and easy to act on. You'll partner closely with your Marketing Insights teammates, Comms and data science on the brand-health dashboard, Brand & Integrated Marketing leadership, brand data science, research vendors, and cross-functional stakeholders across Enterprise Marketing, product marketing and finance. Responsibilities Own the recurring executive and all-hands readouts that put key metrics, headwinds and tailwinds in front of marketing management and the broader team Lead process ownership of the Prosumer and B2B brand health tracker studies, including managing the research vendor relationships that field them Lead coordination across Comms, Marketing and data science on the brand-health dashboard, aligning all three groups on one consistent view of the data Support media mix modeling, multi-touch attribution and incrementality analyses that inform how marketing budget and effort get allocated, moving the team past correlation to a defensible read on what's actually driving outcomes Run best-practice pre- and post-campaign analysis on individual campaigns, covering creative, channel, audience, and timing effects, and turn each read into a specific change for the next campaign Roll up campaign-level learnings into a recurring view for leadership: which channels, creative approaches, and audiences are outperforming over time, and where the team should adjust the playbook next Build audience and funnel analyses that quantify how different audiences move, and relate to each other, from awareness through consideration to conversion, and what that means for where to invest Audit how customer sentiment gets reported across the business and design a more efficient, consistent process Manage the underlying data pipelines so that recurring readouts stay reliable and don't get rebuilt from scratch each cycle Partner with Marketing Insights teammates to keep measurement process and research design in sync, including feeding into the Marketing Business Review scorecard process Develop one defensible view from first-party behavioral data, campaign and media data, and survey or attitudinal research, being clear about what each source can and can't tell you on its own Present findings to non-technical audiences, including marketing leadership, enterprise sales and finance partners, translating hedged results into clear recommendations You may be a good fit if you Have a strategic orientation, strong curiosity for understanding what customers and users think and how to shift perceptions, and can use that to influence business and marketing direction Are fluent in SQL and Python or R, and move comfortably between a quick exploratory pull and a more rigorous statistical model Have designed or analyzed experiments (A/B tests, holdouts, lift tests) to establish a causal effect rather than settle for a correlation, and have applied regression, segmentation or other causal-inference methods to a real business question Have run campaign-level measurement end to end, from a pre/post read on a single campaign to synthesizing learnings across multiple campaigns into a change the team acts on next time Have built and maintained a recurring metrics report or dashboard that executives or cross-functional partners actually rely on, and kept it trustworthy over time Can turn a hedged, caveated finding into a clear recommendation a non-technical stakeholder can act on, and know which caveat matters enough to keep in the headline Start an analysis by pinning down the business question and the decision it needs to serve, not the method that's most interesting to run Can reconcile data with no universal taxonomy across first-party, third-party, real-time and survey sources Know when a directionally correct answer now beats a more rigorous one that arrives too late to matter Work well across functions, building credibility with both technical partners and non-technical leadership Are excited about Anthropic's mission to develop AI that is safe and beneficial Strong candidates may also have Experience with media mix modeling, multi-touch attribution or incrementality and lift testing specifically, rather than general-purpose analytics Experience advising marketing stakeholders on experimental design for live campaigns (email, paid social), or measuring marketing performance across multiple markets Familiarity with survey-based quantitative research (MaxDiff, conjoint, brand and sentiment tracking) alongside behavioral and usage data Experience with a modern data warehouse (Snowflake, BigQuery) and a BI tool (Tableau, Looker, Power BI) Prior experience in marketing, growth or brand analytics specifically, rather than data science in a general or product context A graduate degree in statistics, economics or another quantitative field A career trajectory spanning BI and dashboarding, applied causal inference and experimental design, and multi-market marketing measurement The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 — $320,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

From Fivetran's founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We're proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt Labs are now one company. Together we build the data movement and transformation tools that data teams around the world rely on. Our Analytics team runs on those same tools every day, so you'll work on a modern data stack and help set best practices for the industry. As a Senior Product Analyst, you'll help product leaders understand how customers adopt, use, and stay with our core Fivetran data movement and dbt platform products as well as new product releases spanning AI, BI, and compute. You'll be a "full-stack" analyst. You'll build the data models, define the metrics, create the dashboards, run the analysis, and turn it all into recommendations that shape what we build next. AI is part of how we work. We expect analysts to use AI tools thoughtfully to accelerate analysis and increase efficiency, while applying their own judgment and validating the results. This is a full-time, flexible hybrid position based in Oakland, CA. Our hybrid work model offers remote flexibility and in-person collaboration; there is no fixed number of required office days, and we encourage teams to meet in person regularly. Why This Role Is Exciting Two product portfolios just came together. Many questions about how customers use Fivetran and dbt together have never been asked. You'll be one of the first people to answer them. Your work drives leadership decisions. You'll focus on adoption, engagement, and retention, the metrics product leaders use to decide where to invest. You own the work end to end, from raw data to the decision it informs. You'll analyze products built for people like you. Our customers are data teams. Technologies You'll Use SQL (BigQuery / Snowflake) dbt / dbt State Looker / LookML / Omni Hex / Sigma / Google Sheets Claude Code / Codex What You'll Do Partner with product managers and product line leaders to understand problems and potential solutions with data. Deliver regular analysis and insight on product adoption, engagement, and retention. Proactively investigate trends in user behavior and product usage. Find issues and growth opportunities before anyone asks, and use them to shape product and growth strategy. Define, measure, and monitor the KPIs that show whether our products are healthy and whether the company is on track. Size the potential impact of new product initiatives and recommend how to prioritize them. Analyze product launches and experiments, and recommend what to do next. Find and reduce friction in the funnels users go through to sign up, activate, and adopt our products. Tackle questions where product data meets broader business data, such as revenue, sales, and support. Build and maintain the data models, metrics, and dashboards behind your work. Help new hires, colleagues, and partners understand our data and use it well, so data-informed decisions become the norm. Skills We're Looking For 5+ years in analytics, mostly in product analytics, ideally at a high-growth B2B or SaaS company. Advanced SQL. You can turn messy, raw data into clean, trustworthy datasets, and write, debug, and explain SQL yourself. Comfort using AI tools in analytics workflows to explore data, draft or improve SQL, automate repetitive work, and synthesize findings. You can evaluate and validate AI-generated output. Hands-on experience building data models, ideally with dbt, creating dashboards in a BI tool such as Looker, Omni, or Tableau, and performing funnel, cohort, and segmentation analysis. A track record of using analysis to drive product or business decisions, not just report on them. You can take an open-ended question with little direction and turn it into a clear analysis and recommendation. Strong attention to detail and prioritization. Clear written and verbal communication, including the ability to explain findings to executives and technical tradeoffs to engineers.  Experience influencing cross-functional, distributed teams, both asynchronously and in real time. Bonus Skills ​ Experience designing and analyzing experiments (A/B/n tests), including test design, sample size, significance, and turning results into launch decisions. Deep knowledge of the SaaS customer lifecycle and business metrics, such as ARR (annual recurring revenue), retention, and expansion. Experience defining product events and helping teams self-serve in product analytics tools like Amplitude, Mixpanel, or Heap. Experience developing and scaling a large dbt project. Python or R for analysis. #LI-DJ1 #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $156,082 — $195,102.50 USD   Perks and Benefits 100% employer-paid medical insurance Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We're honored to be valued at over $5.6 billion , but more importantly, we're proud of our  core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in  Forbes .      Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran's culture and what it's like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

About Lucid At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid's proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our "Compromise Nothing™" approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.   We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what's possible and shape the future of mobility.   The ADAS Data Infrastructure team builds and operates the foundational systems that power autonomous vehicle development. We create scalable platforms, services, and data pipelines that ingest, process, store, and serve large-scale sensor data from vehicle fleets to engineering teams across the company. We build the platforms and services that transform vehicle data into usable datasets for autonomous vehicle development.   Role:   We are looking for an Engineering Manager to lead the team that builds the data platform supporting autonomous vehicle development. You will set technical direction and own delivery and operations of high-scale data pipelines and backend services for camera, LiDAR, and vehicle telemetry data. You will grow and coach a team of software engineers, and partner with ADAS, ML, and platform customers to turn their needs into a clear roadmap.     • Lead, mentor, and grow a team of software engineers. This includes hiring, onboarding, performance management, career development, and feedback. • Own the roadmap, prioritization, and delivery of data ingestion, processing, storage, and serving platforms. • Support the architecture for Python and AWS-based backend services, APIs, and data tooling. Review designs and drive engineering best practices. • Own the reliability, observability, performance, and cost of production services. • Partner with internal customers (ADAS, perception, ML, and data engineering) and external vendors to gather requirements and set expectations. • Manage storage, compute, and data movement budgets and capacity planning. • Drive CI/CD, infrastructure automation (IAC), and operational excellence across the platform. • Plan resourcing and run planning and execution rituals. Report status, risks, and progress to senior leadership. • Build a culture of ownership, quality, and collaboration, and stay hands-on enough in code and design reviews to guide technical decisions.   Qualifications:   • Bachelor's degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience. • 8+ years of professional software engineering experience, including 2+ years managing or technically leading engineering teams. • Track record of hiring, developing, and retaining high-performing engineers. • Strong technical background in Python and in building and operating backend services, distributed systems, or large-scale data platforms. • Experience with AWS, IAC Tools like Terraform / OpenTofu, and with deploying applications to Kubernetes. • Experience with Airflow or similar workflow orchestrators, and with designing data pipelines, ETL systems, or data processing frameworks. • Experience with containerized applications, microservices, and event-driven systems. • Experience owning production services, incident management, and operational metrics. • Strong communication skills, with the ability to work across teams and influence stakeholders.   Preferred:   • Experience in the autonomous driving or automotive industry, specifically backend and cloud development. • Strong ownership mindset, with experience driving projects from design through production operations. • Experience building distributed systems or data platforms that process large-scale datasets in cloud environments. • Experience managing budgets or cloud cost optimization. • Experience managing teams that serve ML or autonomy data workflows.       At Lucid, we don't just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations. Salary Range : The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.   Base Pay Range (Annual) $188,400 — $276,320 USD Compensation & Benefits:   Lucid offers a comprehensive and competitive  benefits package  including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off.  Eligible employees may also participate in Lucid's equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.   Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.   Accessibility:  Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at  TA-Operations lucidmotors.com . This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website. Candidate Data Privacy:  By submitting your application, you understand and agree that your personal data will be processed in accordance with our  Candidate Privacy Notice .   To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.    

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Machine Learning models are at the core of Waymo's fully autonomous driving technology. Our models allow the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like perception, planning and control while collaborating with hardware and systems engineers. If you're curious and passionate about Level 4 autonomous driving, we'd like to meet you. Waymo interns work with leaders in the industry on projects that deliver significant impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skillset. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship! This internship will be based on-site at our headquarters in Mountain View, CA. You will: Design and implement state-of-the-art multi-modality (camera/radar/lidar/audio) and multi-task perception models. Potential project areas include: 3D object detection and tracking Open vocabulary detection applying world knowledge models 3D occupancy detection Semantic segmentation Large-scale foundation models Pre-training and self-supervised learning through forecasting Train and evaluate ML models on our vast and high fidelity data from Waymo driving logs Gain experience using large scale ML infrastructure and working in a team environment You have: Enrolled in a Masters or PhD program in Computer Science, Robotics, or a similar technical field of study or enrolled in a master's program with a strong publication record Experience in Python Experience building ML models with JAX, PyTorch or Tensorflow We prefer: Strong track record of high quality ML / CV research. Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, IROS, RSS, NeurIPS, AAAI, IJCV, PAMI Experience in object detection, segmentation, multiple-object tracking audio perception or occupancy detection The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly Masters Pay $70 — $70 USD The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $85 — $85 USD

About Coursera + Udemy Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world's most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our  blog . Why join us now? AI is transforming how people learn, work, and grow, and the need for new skills has never been greater. Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real-world experts. By combining these strengths, we can connect more people and organizations to the skills they need, when they need them. Shape what comes next By joining our team, you'll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale. Coursera + Udemy lets you choose the best way to work, whether it's from home, an office, or a collaboration space. We're a globally distributed team that comes together intentionally for collaboration, complex problem-solving, and key milestones — creating opportunities for teams to come together. If you're ready to make a global impact, help scale unique products across Coursera + Udemy, and grow your career, apply below.   About your skills Strategic Merchandising: You develop merchandising strategies that align learner needs with business objectives. You identify opportunities to improve discovery, engagement, conversion, and expansion by balancing customer insights, commercial priorities, and long-term platform strategy. Experimentation & Optimization: You use experimentation as a core decision-making tool. You develop hypotheses, design and execute A/B tests, interpret results with rigor, and translate learnings into scalable merchandising improvements that continuously optimize the learner experience and business performance. You leverage qualitative and quantitative data to identify trends, diagnose performance issues, and uncover growth opportunities. You synthesize complex information into actionable insights, prioritize work based on business impact, and make informed decisions supported by evidence. Cross-Functional Leadership: You build trusted partnerships across Product, Marketing, Design, Engineering, Analytics, and Content teams to deliver shared outcomes. You effectively influence stakeholders, align teams around common goals, and drive initiatives from strategy through execution in a highly collaborative environment. Where we Work  Udemy is a global company headquartered in San Francisco, with additional U.S. offices in Denver and Austin, and international hubs in Australia, India, Ireland, Mexico, and Türkiye. About this role The Consumer Category Management team is responsible for helping learners discover the right content, offers, and learning pathways at every stage of their journey. Through strategic merchandising, the team shapes how learners experience Udemy - using on-platform experiences as a business lever to drive discovery, conversion, retention, and expansion. As a Senior Merchandising Manager, you will play a key role in establishing and evolving merchandising as a strategic growth function at Udemy. Working closely with the Director of Merchandising and cross-functional partners, you will develop merchandising strategies, introduce new capabilities, and create scalable merchandising practices that focus on maximizing learner engagement and driving revenue growth. You will run experiments and analyze performance data and trends to optimize offerings and ensure that users receive the most relevant and impactful content while driving business results. Collaborating with various teams, you will introduce new capabilities, design experiments, and refine our merchandising tactics to enhance the overall educational experience.  As Udemy and Coursera continue to integrate, you'll also help identify opportunities to connect learners with complementary products and learning experiences across the combined portfolio through thoughtful cross-sell and upsell merchandising strategies. This is an exciting opportunity to help shape the future of merchandising at one of the world's largest online learning platforms while influencing how millions of learners discover, purchase, and continue their learning journey.   What you'll be doing   Lead merchandising initiatives across key consumer surfaces, including homepage, navigation, browse, search, course pages (XDP), hubs, recommendation modules, and promotional placements. Partner with Category Managers to amplify strategic content launches, priority categories, seasonal campaigns, and business initiatives through thoughtful merchandising and content placement. Collaborate with Product and Engineering to define and enhance merchandising capabilities, including curated collections, candidate pools, business rules, personalization, and scalable merchandising tools. Design, execute, and analyze merchandising experiments to validate hypotheses, improve customer experiences, and optimize business outcomes. Analyze learner behavior, customer journeys, merchandising performance, and marketplace trends to identify opportunities for improved discovery, conversion, and expansion. Develop merchandising frameworks that balance learner needs, commercial priorities, editorial curation, and algorithmic recommendations to deliver the best customer experience. Partner across Udemy and Coursera teams to identify strategic cross-sell and upsell opportunities that introduce learners to complementary products, subscriptions, certificates, degrees, and learning experiences across the combined ecosystem. Help establish merchandising best practices, operating models, and measurement frameworks that enable the Category Management organization to scale merchandising capabilities over time.   What you'll have   Bachelor's degree in Business, Marketing, Analytics, or a related field, with 7+ years of experience in digital merchandising, e-commerce, category management, growth, marketplace strategy, or a related discipline. Demonstrated success developing merchandising strategies that drive measurable improvements in learner engagement, conversion, retention, and revenue. Strong experimentation mindset with experience designing A/B tests, interpreting results, and translating insights into scalable merchandising improvements. Exceptional analytical skills with experience using customer insights and performance data to prioritize opportunities and inform strategic decisions. Experience partnering cross-functionally with Product, Engineering, Design, Marketing, Analytics, and Data Science to deliver customer-centric solutions. Strong commercial acumen with the ability to balance learner experience, marketplace dynamics, and business objectives. Excellent communication and stakeholder management skills, with a demonstrated ability to influence across functions and levels of the organization. Experience with digital analytics, experimentation, and merchandising platforms such as Amplitude, Tableau, Optimizely, Adobe Analytics, Contentful, or similar technologies.   Posting Date: 10/14/2026 Application Window: 10/29/2026 #LI-AS2   For more information about how Coursera collects and uses your personal information, please see our Coursera + Udemy Global Applicant Privacy Notice . To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page. If you encounter suspicious recruitment activity, please report it via our  Fraudulent Activity Submission Form. Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at recruiting@coursera.org. 

Our mission at Duolingo is to develop the best education in the world and make it universally available. It's a big mission, and that's where you come in! At Duolingo, you'll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You'll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that's both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.  Read our blog to learn more. About the role   You will... Derive insights from data to influence product roadmaps and drive business results Apply advanced analytical methods, structural approaches, causal inference, and/or machine learning and AI to model user behavior and estimate the impact of potential new feature implementations, and collaborate with product and engineering teams to develop solutions Evaluate product experiments to create and improve user experiences Communicate and present findings and recommendations to senior management  Help preserve our culture of fact-based decision making as we scale     You have... Pursuing a PhD degree (in at least the third year of PhD program) in a quantitative field (e.g. Economics, Finance, Statistics, Math, Linguistics, Computer Science, Computational Social Science, ML/AI), ideally planning to graduate in Fall 2027 or Spring/Summer 2028 Strong understanding of consumer digital products and an interest in applying advanced analytics and economics to business outcomes Previous experience analyzing large datasets, communicating results to technical and non-technical senior-level audiences, and making actionable recommendations that improve the product or business Skilled in SQL, R or Python, and/or statistical methods to analyze behavioral data Enthusiasm for learning and sharing analytical methods to help grow a collaborative Data Science team and data-forward company culture Able to relocate to Pittsburgh or NYC for the internship     Exceptional candidates will have... Experience with "big data" and cloud computing technologies like BigQuery, Snowflake, and/or dbt Experience articulating business questions and using available data to find answers that translate into product recommendations Self-starter, with a desire to both learn new techniques and guide others Previous experience/internships in applied business settings Familiarity with AI tools such as Cursor, a knack for prompt engineering, and a desire to continue to innovate and learn in AI A GPA of 3.5+ A Duolingo streak   Why you'll love working here… Language learning opportunities Catered in-house lunches and breakfast Company-wide Hackathon PTO and company holidays Frequent company-wide dinners, monthly celebrations, social clubs, and so much more!   Connect with your recruiter on the benefits for interns at Duolingo! Hourly Range for this internship is: $63 — $65 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we'll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Our mission at Duolingo is to develop the best education in the world and make it universally available. It's a big mission, and that's where you come in! At Duolingo, you'll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You'll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that's both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.  Read our blog to learn more. About the role     You will... Derive insights from data to influence product roadmaps and drive business results Apply advanced analytical and AI methods to model user behavior and estimate the impact of potential new feature implementations, and collaborate with product and engineering teams to develop solutions Evaluate product experiments to create and improve user experiences Develop dashboards, reports, and/or forecasts Ensure the quality of our tracking and data collection Help preserve our culture of fact-based decision making as we scale     You have... Pursuing an Undergraduate or Masters degree in a quantitative field (e.g., statistics, economics, computer science, math, linguistics, computational social science, ML/AI) with expected graduation in Fall 2027 or Spring/Summer 2028 Strong understanding of consumer digital products and an interest in applying advanced analytics to business outcomes Previous experience analyzing large datasets and communicating results Skilled in SQL, Python or R, and/or statistical methods to analyze behavioral data Excellent presentation and communication skills Enthusiasm for learning and sharing analytical methods to help grow a collaborative Data Science team and data-forward company culture Able to relocate to Pittsburgh, PA or New York, NY     Exceptional candidates will have... Experience with "big data" and cloud computing technologies like BigQuery, Snowflake, and/or dbt Experience articulating business questions and using available data to find answers that translate into product recommendations Self-starter, with a desire both to learn new techniques and guide others Familiarity with AI tools such as Cursor, a knack for prompt engineering, and a desire to continue to innovate and learn in AI. A GPA of 3.5+ A Duolingo streak   Why you'll love working here… Language learning opportunities Catered in-house lunches, and breakfast and dinner options Company-wide Hackathon Frequent company-wide dinners, monthly celebrations, social clubs, and so much more!   Connect with your recruiter on the benefits for interns at Duolingo! Hourly Range for this internship is: $54 — $56 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we'll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: SoFi is seeking a Financial Services Strategic Sourcing Analyst to support sourcing and procurement initiatives across our Financial Services businesses. This role will partner with teams across Home Loans,, Credit, Finance, Risk, Fraud, AML, Crypto, and other functions. You will manage and execute sourcing projects across a broad range of financial services categories, including RFPs, RFQs, contract renewals, net-new purchases, competitive benchmarking, supplier negotiations, and cost-saving initiatives. The ideal candidate is comfortable working in a complex, highly regulated environment and can build strong relationships with business stakeholders while ensuring procurement processes are followed. This role reports to the Head of Procurement and may support additional procurement projects and strategic initiatives as needed. What you'll do:  Strategic Sourcing and Category Management Manage sourcing projects from intake through supplier selection, negotiation, contracting, and implementation. Lead RFPs, RFQs, renewals, competitive bids, and net-new supplier engagements across Financial Services categories. Partner with stakeholders to understand business requirements, define sourcing strategies, develop evaluation criteria, and establish project timelines. Conduct market research, supplier benchmarking, spend analysis, and commercial-model assessments. Identify opportunities to consolidate suppliers, improve commercial terms, increase competition, and optimize demand. Support category strategies and sourcing roadmaps for financial services suppliers. Negotiation and Supplier Management Lead negotiations involving pricing, rate structures, volume tiers, minimum commitments, payment terms, service levels, termination rights, implementation fees, and other commercial terms. Evaluate supplier proposals and develop fact-based negotiation strategies. Partner with Legal, Finance, Risk, Information Security, Compliance, and Third-Party Risk Management to address contractual and supplier requirements. Monitor supplier performance, contract expirations, auto-renewal dates, pricing escalators, and other key commercial obligations. Support supplier relationship management and issue resolution in partnership with business stakeholders. Financial Analysis and Value Delivery Identify and negotiate cost savings, cost avoidance, payment-term improvements, and other sources of financial value. Prepare pricing analyses, total-cost-of-ownership comparisons, business cases, negotiation summaries, and executive-ready recommendations. Partner with Finance to validate savings methodologies, forecast financial impact, and track realized results. Analyze the impact of business growth, volume changes, product usage, and supplier concentration on procurement strategy. Stakeholder Partnership Build trusted relationships with stakeholders across Lending, Credit, Finance, Risk, Fraud, AML, Crypto, and other business functions. Serve as a procurement advisor by engaging early in business planning, supplier evaluations, and purchasing decisions. Facilitate cross-functional alignment and help stakeholders make informed supplier and commercial decisions. Communicate project status, risks, decisions, and recommendations clearly to stakeholders and leadership. Balance business urgency with procurement governance, competitive processes, financial discipline, and risk management. What you'll need: Bachelor's degree in business, finance, supply chain, economics, or a related field, or equivalent experience. 4+ years of experience in strategic sourcing, procurement, vendor management, consulting, finance, or a related discipline. Experience managing sourcing projects, including RFPs, RFQs, renewals, competitive bids, or supplier negotiations. Strong analytical and financial modeling skills, including the ability to compare complex pricing proposals and evaluate total cost. Demonstrated ability to negotiate pricing and contract terms with technology, data, financial services, or other strategic suppliers. Experience working with cross-functional stakeholders in a matrixed organization. Ability to manage multiple projects, prioritize competing demands, and meet deadlines. Strong written and verbal communication skills, with the ability to present clear recommendations to stakeholders and leadership. Comfort working with ambiguity and developing practical solutions to business problems. Proficiency with Excel or Google Sheets, presentation tools, and procurement or contract-management systems. Nice to have: Experience supporting financial services, lending, credit bureau, fraud, identity, AML, risk, payments, cryptocurrency, or regulated technology categories. Experience working with suppliers that process sensitive financial, consumer, or personal information. Familiarity with third-party risk management, information security reviews, regulatory requirements, and contract governance. Experience negotiating SaaS, data, API, transaction-based, or usage-based supplier agreements. Procurement certification such as CPSM, CIPS, or equivalent. Experience using Coupa, Ironclad, Venminder, Workday, or similar procurement and contract-management tools. Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location.    To view all of our comprehensive and competitive benefits, visit our  Benefits at SoFi   page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. We are unable to accommodate remote work from Hawaii, Alaska or Puerto Rico at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

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. We're looking for an exceptional Futures Risk Program Manager to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving spaces in technology, and the challenges we're tackling require deep innovation, critical thinking, and scale that don't always have strong precedents. You'll take on a highly influential role shaping vision and execution across key strategic initiatives. You'll partner with cross-functional leaders, contribute to high-impact decisions, guide complex projects from concept to completion, and mentor others on the team. This is a role for someone who leverages modern tools and cutting-edge methodologies as a core part of how they solve problems, and raises the bar for everyone around them. This role is based in our Chicago, IL, with in-person attendance expected at least five days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you'll do Design and implement a comprehensive risk management strategy emphasizing early risk detection, automated alert systems, incident response, and continuous improvement. Conduct thorough risk assessments focused on operational and technology risks, identifying vulnerabilities, and recommending mitigations. Support Risk Exposure Reporting, regulatory reviews, and updates to the Risk Management Program to meet evolving business and regulatory needs. Develop automations for robust supervision and risk management. Develop real-time monitoring systems to quickly identify adverse market conditions or operational issues. Implement a robust control testing framework to validate risk mitigation measures and the effectiveness of controls. Implement automated alert mechanisms for risk limit breaches, unusual trading patterns, and system anomalies. Leverage advanced analytics tools to uncover risk trends and provide actionable insights for decision-making. Build dashboards and reports using tools like Looker to visualize key risk metrics and inform stakeholders effectively. Telecommuting permitted. What you bring Bachelor's degree or foreign equivalent in Computer Science or related field plus five years of progressively responsible experience in job offered or related occupation. Education and/or experience must include: Apply Commodity Futures Trading Commission (CFTC) and National Futures Association (NFA) regulatory requirements into risk controls, supervisory procedures, and program documentation; Design and execute enterprise or Future Commission Merchant (FCM) level risk assessments; Build and implement automations such as ETL data pipelines and scheduled data jobs (Airflow-type scheduling tools) to support risk monitoring; Develop real-time or near–real-time monitoring and alerting systems that detect risk limit breaches, unusual trading activity, or system anomalies; Execute control testing programs for risk mitigation; Perform advanced statistical analytics on large structured datasets utilizing Python or similar programming tools to identify trends and quantify risk exposures; Utilize industry-standard business intelligence or visualization platforms (Looker, Superset, Tableau, or PowerBI) to build dashboards, trend analyses, and key risk metric reporting; and Investigate complex risk scenarios and develop mitigation strategies aligned with industry regulatory standards. Background checks required What we offer Challenging, high-impact work to grow your career. Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching. Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents. Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more. Employer-paid life & disability insurance, fertility benefits, and mental health benefits. Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to the corresponding compensation zone. Base Pay Range: $138,632 - $175,000 per year To Apply: Apply by clicking APPLY NOW. Indicate job code 9902186 in your application. Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you're ready to build the future of finance, we look forward to seeing your application. AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the  Privacy Policy for your country of application.

About the role Chime's Data Science & Machine Learning team builds the models, services, and platforms behind how millions of members manage and grow their financial lives. We're hiring a Staff AI/ML Engineer on our Lending and Cashflow team to lead the modeling behind cash flow underwriting and surface member insight: using members' transaction and deposit data to make fair, accurate credit decisions for people that traditional credit scores often miss. In this role, you'll build and deploy machine learning systems on some of the richest transactional and behavioral data in fintech, turning it into the credit decisions behind products like MyPay, Instant Loans, and SpotMe. This is a highly applied role: you'll own problems end to end, from framing the question through to a model running in production and moving a metric that matters, and you'll set the technical direction for how Chime underwrites with cash flow data. In this role, you can expect to Lead the design, training, and deployment of deep learning and classical ML underwriting models that turn members' transaction and cash flow data into credit decisions, from approval and line assignment to loss forecasting Take models from problem framing through to production — training, evaluation, deployment, monitoring, and iteration — and stay accountable for how they behave once they're live Design and improve the systems around the model: feature pipelines, batch and real-time inference, monitoring, and retraining Partner with Product, Engineering, Analytics, and Risk to turn ambiguous business problems into ML solutions, and to make sure the solution is the right one Connect model performance to member outcomes and business metrics, and use experimentation to prove impact Set the technical roadmap for Lending ML and raise the bar across the team through design reviews, mentorship, and shared standards for model development, validation, and governance Help identify where AI/ML creates measurable impact for members — and where a simpler answer is the better one To thrive in this role, you have A track record of leading the design and deployment of deep learning models in production, including multi-quarter initiatives that span teams, with a solid grasp of architecture choice, training dynamics, and evaluation, and the judgment to make model design choices Solid machine learning fundamentals: classical modeling, evaluation design, and knowing which metric actually answers the question in front of you Hands-on experience across the end-to-end ML lifecycle — training, experimentation, optimization, deployment, and monitoring Comfort with messy real-world data, including label definition, leakage, class imbalance, and train/serve skew Strong proficiency in Python and SQL, with deep learning frameworks such as PyTorch and distributed compute such as Spark or PySpark Working knowledge of modern ML infrastructure — AWS and tools such as SageMaker, Airflow, Kafka, Redis, and Snowflake — and an MLOps mindset for keeping production systems healthy The ability to operate independently in ambiguous environments, influence technical direction beyond your own team, and explain model decisions clearly to engineers, risk partners, and senior leaders Nice-to-have Experience in either of these is a plus: Credit or underwriting models, and familiarity with model governance, explainability, and fairness requirements, such as adverse action reason codes and fair lending testing Cash flow or alternative-data underwriting: building credit features from bank transaction data, such as income and expense detection, balance trends, and transaction categorization Deployed transformer models in production #LI-Onsite #LI-DA1 Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $246,000 — $340,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.  We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you're coming in regularly or are part of our fully remote program, you'll stay engaged with your work and teammates. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can't be done without a diverse team and inclusive environment. That's why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the  Chime Applicant Privacy Notice .