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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. Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the fully autonomous vehicle's software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate closely with many other teammates to ensure we design and optimize hardware and software for maximum performance. We are a multidisciplinary team seeking curious and talented teammates to work on one of the world's highest performance automotive compute platforms. In this role, you will report to a Hardware Engineering Manager. You will: Analyze inference workloads and map them efficiently to hardware, proposing novel HW-friendly implementations and projecting performance Build scalable tools for performance modeling and evaluation of inference workloads Work closely with compiler and model developers to influence engineering tradeoffs and future model architectures Architect, simulate and design novel hardware solutions for state-of-the-art autonomous driving models Interact with cross-functional engineering teams to identify opportunities and realize architectural vision You have: M.S. degree in Computer Science or Computer Engineering or equivalent practical experience 10+ years on designing/architecting complex, high performance architectures - CPUs, GPUs and/or ML accelerators - in the industry or through doctoral research 3+ years experience with machine learning architectures, acceleration and model optimization Deep knowledge of ML model architectures and their compute characteristics (bottlenecks, optimization opportunities) Strong programming and algorithmic problem solving skills We prefer: Track record of analyzing workloads and architecting, delivering novel HW+SW solutions to vastly improve performance, efficiency for ML inference Proven ability leading cross-functional teams to deliver your architectural vision Familiarity with novel semiconductor technologies and their tradeoffs across the full hardware stack Experience with microarchitecture design (SystemVerilog or HLS)   The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.  Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.  Salary Range $251,000 — $310,000 USD

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. You will: Design, develop, and deploy data pipeline, storage, and query infrastructure supporting autonomous driving training and evaluation;  Write high-quality, testable, and maintainable code to ensure robust software performance; Participate in peer code reviews to uphold engineering standards and drive continuous improvement in development practices;  Enhance existing systems for greater performance, scalability, and reliability across large-scale applications;  Monitor system health and proactively resolve issues while providing technical support to internal users; and  Collaborate with cross-functional teams including data scientists, product managers, and engineers to align data solutions with simulation, planning, perception, and commercialization needs. You have: Bachelor's degree in Computer Science, Computer Engineering, Information Systems or a related field and 5 years of progressive post-baccalaureate experience in the job offered or or in a Software Engineering related occupation. Alternatively, the employer will accept a Master's degree in Computer Science, Computer Engineering, Information Systems or a related field and 3 years of experience in the job offered or in a Software Engineering related occupation.  Position requires 3 years of experience in the following:  data structures and algorithms to optimize backend software performance and efficiency;  backend systems and infrastructures for large-scale software applications;  large-scale distributed systems and data processing frameworks;  data processing frameworks to handle high-volume data pipelines;  C++, Java, or Python; and  SQL queries for relational database management and data retrieval. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.  Salary Range $205,000 - $215,000 USD   Position reports to the Waymo office & may allow for a hybrid schedule per Waymo policy.   #LI-DNI

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. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!   You will: Design and implement scenario preprocessors (e.g., visual rendering, scene representations, and multimodal prompting) to effectively present driving scenarios to state-of-the-art VLMs Develop postprocessors that translate VLM outputs into feasible, safe trajectories for closed-loop vehicle control Evaluate VLM driving harnesses in closed-loop autonomous driving simulation and iterate on representations based on driving metrics Communicate to both technical and non-technical audiences regarding research motivations and research findings Conduct cutting-edge research and potentially communicate research findings to the wider academic community via technical reports and/or publications   You have: Currently enrolled in a PhD program in computer science, statistics, applied mathematics, physics, or a related technical field of study Familiarity with major ML Frameworks (JAX, Pytorch) Experience using coding agents for auto-research 3+ years of experience with Deep Learning, Computer Vision, and Generative Models (such as VLMs/LLMs)   We prefer: Publications at top-tier conferences such as CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/IROS/CoRL etc. Substantial involvement in and contributions to high impact industry AI projects Experience with Vision-Language Models (VLMs), multimodal prompting/reasoning, or autonomous driving simulation and planning   Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. 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

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. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!   You will: Research and develop novel visual and spatio-temporal reasoning methods for multimodal Perception Foundation Models using AV sensor data Design and implement post-training recipes—including Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL)—to improve perception generalization in long-tail autonomous driving scenarios Conduct large-scale experiments and ablation studies on autonomous driving benchmarks, with the opportunity to publish findings at top-tier AI/CV conferences (e.g., CVPR/ICCV/ECCV/NeurIPS/ICLR/ICML)   You have: Currently pursuing a PhD in Computer Science, Machine Learning, Robotics, Electrical Engineering or a related technical field Hands-on experience & strong publications in perception, and/or LLM/VLM Knowledge of pre-training and post-training of the large foundation models Strong Python coding skills with expertise in modern deep learning frameworks (e.g., PyTorch, JAX, TensorFlow)   We prefer: Experience with visual reasoning for LLM/VLM/robotics/driving Experience with RL training in LLM/VLM/robotics Experience with open-vocabulary perception   Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. 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

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. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!   You will: ML experiment design ML modeling and iteration Evaluation and interpretation of results You have: Currently pursuing a PhD in Computer Science, Robotics, Machine Learning, or a related quantitative field Familiarity with modern ML techniques (transformers, diffusion models etc)  Familiarity with at least one ML framework (pytorch, tensorflow etc) Proficiency in Python   We prefer: Evidence of research output (eg: top tier publications) Exposure to robotics, perception or AV technology Familiarity with world modeling   Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. 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

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. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!   You will: Build tools for sampling, selecting, and discarding synthetic driving data with testable hypotheses of how that data will lead to improvement Train and evaluate models with mixtures of synthetic and logged data Present and write about methods for synthetic data generation and training   You have: Currently pursuing a PhD in Computer Science, Machine Learning, Robotics, Electrical Engineering or a related technical field Familiarity with methods of sampling from large models Experience with post-training methods such as SFT, RL, and preferences Modern deep learning frameworks such as PyTorch and Jax   We prefer: Experience working with open and closed loop decision making models in robotics Experience with synthetic data generation and evaluation Prior projects using LLM-as-a-judge   Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. 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

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. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows 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 robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you.  Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!   You will: Design, implement, and scale Reinforcement Learning post-training and distillation algorithms (such as flow or diffusion policy optimization, off-policy importance sampling, and constrained multi-objective RL) for foundation world models in simulation and autonomous driving Develop learned reward models, realism critics, and discriminators within a closed-loop multi-agent simulator to align simulated agent and driving behaviors with human driving realism and safety Run rigorous closed-loop ablation studies on large-scale TPU clusters—leveraging agentic auto-research workflows and fleet-scale driving behavior metrics (such as route progress, braking comfort, lateral stability, and lane selection)—to mitigate simulator exploitation and distribution shift Write clean, modular, and well-tested JAX code in core simulation and autonomous driving codebases, collaborating closely with researchers and engineers across simulation, world modeling, and autonomous driving teams   You have: Currently pursuing a PhD in Computer Science, Machine Learning, Robotics, or a related technical field, with an anticipated graduation date between December 2027 and August 2028 (returning to a degree program for at least one academic term after the internship) Core Implementation Fluency (Mandatory): Strong tensor implementation and debugging skills in Python and JAX/Flax or PyTorch, with hands-on experience training and modifying modern neural architectures (such as Transformers, Diffusion/Flow models, or deep RL networks) Deep Research Expertise in Either (a) Reinforcement Learning & Post-Training (hands-on research experience in policy gradient methods such as PPO/GRPO/REINFORCE, off-policy or offline RL such as importance sampling/AWR/DPO, constrained MDPs, inverse RL, or learned reward and critic modeling) OR (b) Generative World, Sequence, or Trajectory Modeling (hands-on research experience in continuous flow matching / Rectified Flows, score-based diffusion policies such as DDPO/DPPO/Diffuser, or spatiotemporal autoregressive world and trajectory models), with working familiarity in the other   We prefer: First-author publications at top-tier machine learning or robotics venues (e.g., NeurIPS, ICML, ICLR, CVPR, CoRL, RSS, ICRA, or equivalent venues) in RL post-training, flow/diffusion policy optimization, generative world models, or autonomous driving Experience with multi-agent closed-loop simulation, Sim2Real transfer, or reward-hacking mitigation (e.g., Waymax, WOMD, NuPlan, IsaacGym/MuJoCo, adversarial traffic generation, or discriminator stabilization) Experience profiling and scaling distributed training workloads on TPUs or multi-node GPUs (such as XLA compilation, vectorized batched rollouts, and memory optimization) and familiarity with C++/Python interfaces   Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. 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. About this role Corporate Finance sits at the center of the broader finance team to help leadership gain financial visibility and insights on the business. The Manager, Corporate Finance will support the Director of Corporate Finance and collaborate with our global finance team to manage successful budgeting and forecasting processes, deliver strategic insights, and help scale our organization.   About your skills  Financial Process & Planning Management: Demonstrated history of managing, developing, and improving key corporate financial processes including forecasting, budget planning, long-range planning, cash flow, and 3-statement financial modeling (P&L, cash flow, balance sheet). Strategic Business Partnering & Influencing: Ability to act as a trusted strategic finance partner to department leaders, evaluate ROI on new initiatives, influence strategic decision-making, and lead cross-functional workstreams without direct authority. Financial Systems & Analytics : Proficiency in Excel, business systems (such as IBM Analytics, Adaptive, NetSuite, or Workday), and driving insights through data analysis to streamline financial reporting and processes. Executive Communication & Reporting: Proven ability to translate complex financial data into clear, compelling narratives and present financial reporting, commentary, and metrics to executive leadership, board members, and investor relations.   What you'll be doing Manage, develop, and improve key financial processes, including forecasting, budget planning, performance reporting, long-range planning, cash flow, and balance sheet forecasting. Collaborate closely with finance, investor relations (IR), and data insights teams to manage and drive key financial and investor metrics. Act as a trusted strategic finance partner to key department leaders, helping them navigate budget constraints and evaluate ROI on new initiatives. Provide financial reporting, analysis, and commentary to partners including Coursera's Board, management team, and investors. Translate complex financial data into clear, compelling narratives for non-finance stakeholders and executive leadership. Drive process improvements and automation initiatives to streamline financial reporting and reduce manual work. Qualifications 5+ years of corporate finance experience, including experience in the consumer, enterprise, and/or SaaS industries. Experience with Excel & strong business modeling and analytical skills. Experience leading complex workstreams and cross-functional efforts such as managing a yearly planning process. Demonstrated history of building financial statements (P&L, cash flow, and balance sheet) as well as knowledge of accounting and corporate finance concepts. Demonstrated history with financial planning processes and business systems such as IBM Analytics or similar tools. Compensation At Udemy, we strive to be transparent around compensation. Actual compensation for this role is based on several factors, including but not limited to job-related skills, qualifications, and experience. In addition to a base salary, this role is also eligible for equity.   Hiring Compensation Range $136,000 - $170,000   Posting Date: October 19, 2026 Application Window:  October 19, 2026 - October 30, 2026 We anticipate the application window will be open until October 30, 2026. Based on business needs, this opportunity may remain posted beyond or closed before the anticipated application window.   #LI-JC2 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. 

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: Want to build the data foundation powering AI and self-serve analytics at scale? As part of Samsara's Marketing Data and Analytics (MDA) Engineering team, you will shape the technical roadmap alongside our BI and Data Science peers. You will architect core Databricks pipelines, Gold Layer tables, and semantic models, turning ambitious, ambiguous business challenges into high-value data products, autonomous agents, and cross-functional automation. This role is open to candidates residing in the US. You should apply if: You want to impact the industries that run our world: Your efforts will result in real-world impact – helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely. You are the architect of your own career: If you put in the work, this role won't be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment. You're energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers. You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best.  In this role, you will: Partner on defining the strategy and multi-quarter roadmap for MDA's data and AI foundation. Architect and own Samsara's marketing data infrastructure: ETL/ELT pipelines, Databricks Gold Layer tables, and the core data models that power segmentation, targeting, automation, and analytics. Design the semantic layers, data dictionaries, and structured documentation that enable self-serve BI and conversational analytics, partnering with the BI team to ensure core sales and marketing KPIs are built on trusted, well-modeled data. Translate ambiguous business questions from Marketing, Sales, and R&D into clear requirements and scalable solutions, working autonomously without dedicated PM support and influencing decisions with data and sound reasoning. Lead complex, cross-team initiatives end to end: stand up new data pipelines and integrations quickly, manage risk across interdependent teams, and own the reliability and data quality of what ships. Serve as the senior technical lead for the team's hardest problems: raise the bar for engineering quality and code review, remove bottlenecks that slow multiple teams, and mentor engineers and analysts.  Drive the strategic use of AI to solve ambiguous, high-impact problems: build AI-enabled data products and agents, with the integrations, retrieval pipelines, and evaluation practices that keep them reliable and trustworthy. Identify and automate manual workflows with AI across Marketing and GTM teams, taking ideas from concept to prototype to production and influencing org roadmaps. Ship high-quality Python and SQL, increasingly by directing agentic coding tools, while holding a high bar for reviewing and verifying AI-generated work before it reaches production. Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices. Minimum requirements for the role: 8+ years of experience in data engineering, analytics engineering, or AI engineering, including deep hands-on data engineering experience. Expert-level Python and SQL, with strong hands-on data modeling and DBT experience. Deep experience with data warehouse and lakehouse architectures, ETL/ELT, and the modern data stack, including hands-on Databricks (or similar, such as Snowflake or BigQuery). Experience building semantic layers and structured documentation optimized for AI ingestion and agentic workflows. Agentic coding tools (e.g., Claude Code, Cursor) are part of your regular workflow, and you verify and take ownership of AI-generated output. Experience building, shipping, evaluating, and monitoring LLM or agent systems in production. Track record of leading complex, cross-team data initiatives, including independent requirements gathering with technical and non-technical stakeholders. Experience supporting Marketing, Sales, or Product teams. An ideal candidate also has: Experience working with Databricks and building AI Agents within the ecosystem.  Software engineering background beyond data or AI engineering, with a track record of turning ambiguous, unfamiliar problems into well-architected, delivered solutions. Expertise in data visualization and building dashboards for sales and marketing KPIs. Familiarity with go-to-market data and systems: CRM (e.g., Salesforce), marketing automation, web analytics, and MarTech tools. Experience building interactive applications with Streamlit, Claude workflows, or web frameworks. Data science, machine learning, or predictive analytics experience. Comfort working in an exploratory environment, testing and iterating on new data sources and methodologies. The compensation range shown spans approved pay zones for this role. Your primary work location determines the range applicable to you, which may be narrower than the full range displayed. The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below. Annual Base Salary $137,445 — $231,000 USD Total Rewards At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time. Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you're ready to build for the long term and own the outcome, your journey starts here. Flexible Working  At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Belonging at Samsara At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Accommodations  Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process. Our Commitment to Authenticity We use Tofu , a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara's Candidate Privacy Notice for more information. Fraudulent Employment Offers Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our  blog post here .

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 The Senior Operations and Supplier Tester resides within the 1st Line of Defense (1LOD) Operations and Supplier Testing team. This position plays a crucial role in supporting risk management of 1LOD Operations.  This role requires hands-on support for performing 1LOD transactional and supplier oversight testing.  Achieving success in this role requires a demonstrated ability to complete all assigned testwork within the established timelines, assist the Testing Manager with the build-out of new tests and expansion of existing test scripts, and proficiently articulate exceptions and findings related to testwork.    By joining SoFi, you'll become part of a forward-thinking company that is transforming financial services for the better. We offer the excitement of a rapidly growing startup with the stability of an industry leading leadership team.   What you'll do: Ensure Operations and key suppliers have a sustainable and effective end-to-end control environment by identifying gaps and weaknesses during testing Document and perform complex and high risk process and control testing to provide reasonable assurance that internal and external processes are operationally effective Obtain and analyze test data from multiple sources, following documented test plans, testing procedures, and leveraging job aids as needed Manage assigned testing timelines to ensure all tasks and reporting are completed within established timeframes Apply regulatory and compliance knowledge to evaluate scenarios, assess risk implications, and inform testing conclusions Assist the Testing Manager in the build-out of new test scripts for previously un-tested areas, augment existing test scripts to broaden test scope while ensuring alignment with regulatory requirement, policies and business processes Make principle based scoring and risk decisions grounded in policy intent, evidence and data Assist the Testing Manager in partnering with stakeholders to offer feedback on testing results and ensure the completion of any necessary corrective actions Communicate findings, risk implications to cross functional stakeholders Determine when issues can be resolved independently versus escalated to management and proactively engage cross-functional stakeholders to clarify expectations, resolve issues, and communicate risk implications  Support the Testing Manager in monitoring changes to procedures, policies  and regulatory requirements to assess their impact on the testing scope and the related test script Collaborate with the Testing Manager to ensure test scripts are comprehensive for identifying and mitigating respective risks effectively  Prioritize competing responsibilities based on workload and demands Conduct peer reviews of analyst work to ensure accuracy, consistency, and adherence to testing methodology Provide real time feedback, reinforcing best practices and elevating testing quality Serve as subject matter resource to testing analysts by providing guidance on scenario interpretation, sample methodology, and evaluation. Support a culture of accountability, continuous learning, and improvement within the testing team Train analysts on newly designed or revised tests Serve as a subject matter expert on complex processes, regulatory frameworks, and testing approaches Mentor analysts to build critical thinking, problem solving and communication skills under managers guidance Undertake ad-hoc duties as needed to support the Operations and 1LOD Risk department What you'll need: 5+ years of relevant experience in audit, compliance testing, or other control/ transactional reviews  Experience in banking and/or fintech industry; knowledge of banking products, processes and regulations covering areas such as deposit products and consumer lending products Demonstrate ability to apply testing methodology, regulatory knowledge and risk and control frameworks to evaluate complex scenarios and inform testing conclusions Strategic thinker who can partner with testing manager to build, expand and improve existing testing scripts and processes Strong organizational skills, able to balance multiple critical priorities simultaneously and successfully Maintain strong time management, able to complete multiple concurrent tasks within close deadlines with a high degree of accuracy and detail Strong analytical skills and ability to review and comprehend large sets of data; able to synthesize diverse processes and data and formulate appropriate conclusions Fluent in Excel and PowerPoint, comfortable with analyzing large datasets in Google suite, MS Office apps, etc. Results oriented, demonstrated achievement of exceeding expectations Ability to work independently with minimum oversight and exercise sound, risk based judgment in ambiguous or complex scenarios Inquisitive nature, attention to detail, diligence and a good attitude Strong interpersonal, verbal, and written communication skills; capable of writing documentation, and interacting positively with management and colleagues effectively via telephone (Zoom) Demonstrated outlook of positive and productive relationships and successful partnerships with stakeholders Demonstrated ability to coach, mentor and review peers with a focus on accuracy and development   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.

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. About the Role We're looking for a Senior Data Analyst to join the Business Intelligence team supporting Operations at SoFi. In this role, you will be the analytical engine supporting various Operations functions and initiatives, translating complex operational data into the insights and narratives that drive performance, service quality, and member experience. This role sits within a broader data organization and supports stakeholders across Frontline and Backline Operations Teams, Workforce Management, and Customer Experience teams. You will help operational leaders better understand performance and identify bottlenecks by architecting comprehensive reporting frameworks and performing deep-dive diagnostic analyses to uncover the 'why' behind our metrics. You will work across a diverse spectrum of operational datasets—including omnichannel contact data, IVR and chatbot interactions, customer experience (CX) sentiment metrics, and agent productivity performance. This is a strong fit for someone who thrives at sitting in the intersection of business operations and data analytics. You have a talent for building deep partnerships to understand operational needs, a passion for building reporting and analytical frameworks from the ground up, and a track record of leveraging modern AI tools to work faster and smarter to pave the strategic roadmap for our Operations team. What You'll Do Serve as a thought partner to leadership — helping define what operational excellence looks like through data. Act as a reporting leader for Operations, setting standards for how SoFi measures, monitors, and improves the member experience through data . Own and drive reporting roadmaps, ensuring consistency, data accuracy, and scalability. Partner with Operations and CX leaders to define, monitor, and evolve key performance indicators (KPIs) that align with service excellence and business objectives. Lead the design, automation, and maintenance of Tableau reporting suite for Operations stakeholders, establishing a scalable 'source of truth' for operational performance and member experience metrics. Partner with Data Engineering to define business logic and data requirements, ensuring that upstream data collection is structured to support accurate, scalable downstream analytics. Develop reporting frameworks that unify data from multiple sources ( ex. customer experience metrics, contact center systems, agent productivity tracking, workforce management, and survey tools ) into cohesive, actionable insights. Lead deep-dive diagnostic analyses—including variance and root cause investigations—to uncover performance drivers and identify opportunities to reduce member friction or operational inefficiency. Leverage cutting-edge AI tools (such as Claude, Cursor, ChatGPT, and AI coding assistants) to accelerate analytical workflows, automate query/script building, and deliver faster, smarter insights. Proactively identify emerging trends and 'unknown unknowns' within operational data to alert leadership of risks or opportunities before they impact member experience or SLAs. Translate analytical findings into strategic recommendations that influence process design, workforce planning, and continuous improvement initiatives. Lead data storytelling efforts, ensuring insights are communicated clearly and persuasively to both technical and non-technical audiences. Collaborate with Product, Engineering, Data Science, and other BI teams to enhance data accessibility and automate recurring analytics. Mentor junior analysts and cross-functional partners on best practices for data-driven performance management, visualization, and AI-assisted analytics . What You'll Need Bachelor's degree in Analytics, Statistics, Economics, Engineering, or a related quantitative field (Master's preferred). 5+ years of experience in data analytics, operations analytics, or business intelligence—ideally within a high-growth FinTech or regulated financial environment. Proven experience analyzing complex operational datasets, such as contact data, customer experience data, and agent productivity metrics. Advanced SQL skills with the ability to write complex, performant queries to extract insights from large-scale data warehouses. Advanced proficiency in Tableau (highly preferred) or other visualization tools (Looker, Power BI) to build scalable, automated dashboarding suites. Demonstrated ability to be on the leading edge of modern AI analytics tools (e.g., Claude, Cursor, ChatGPT) to optimize workflows, code more efficiently, and deliver impactful insights faster. Proven track record of "building from the ground up"—specifically designing new reporting frameworks, defining KPIs, and establishing data "sources of truth." Elite communication and storytelling skills, with the ability to simplify complex data and influence non-technical stakeholders and leadership. Strong business acumen and a passion for improving member experiences through data-driven decision-making. Comfort navigating ambiguity and working in fast-paced environments with evolving priorities and cross-functional dependencies. Nice to Have Experience in business banking, commercial banking, or fintech with an understanding of lending, payments, or risk operations. Familiarity with operational performance management, workforce planning, service operations, risk operations, or process optimization. Experience working in regulated environments with attention to governance, controls, and auditability. Familiarity with Python, R, or other analytical 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.

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Engineering team The Engineering team builds systems that power Affirm's mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we're enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering. About the team Affirm's Communications team builds and modernizes the highly available platform that delivers billions of customer messages reliably and on time across the customer journey. As a senior backend engineer, you will shape multi-region, multi-tenant infrastructure, APIs, and vendor integrations that help product teams communicate with customers at scale. What you'll do You will own and deliver quarterly technical goals for the Communications area, collaborating with teammates to solve ambiguous, open-ended problems across messaging infrastructure. You will design and evolve reliable backend services for high-volume communications across multi-region, multi-tenant environments, including orchestration, delivery, preferences, templates, and observability. You will collaborate with product management, design, analytics, security, and engineering partners throughout the product lifecycle, articulating technical constraints and balancing customer impact, risks, and trade-offs. You will design, implement, and operate resilient integrations with external messaging vendors, balancing reliability, latency, cost, and compliance. You will proactively identify and solve project, process, technology, or business issues that affect scalability, developer experience, and operational resilience. You will support the operations and availability of your team's services by defining service-level objectives and metrics, improving alerting and incident response, and participating in on-call efforts. You will foster quality and ownership by improving design, testing, code review, rollout, and operational standards, and advocating for them through writing and tech talks. You will help develop talent on your team by providing feedback, mentorship, and technical direction, and leading by example. On-Call Rotation - There would be an on-call rotation for this role as a requirement. What we look for You have 5+ years of experience in software development or engineering, with a deep understanding of system design and architecture. Proficiency in modern programming languages such as Python, Kotlin, or similar. You have a track record of developing highly available distributed systems using technologies like AWS, MySQL, DynamoDB, and Kubernetes. You have experience designing multi-region, multi-tenant platforms with strong isolation, scalability, failure recovery, and data-consistency guarantees. You have experience integrating with third-party communications or messaging vendors and designing abstractions that account for different capabilities, rate limits, and failure modes. You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. You are proficient with AI-assisted development tools and apply sound judgment to validate their outputs. Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Compensation & Benefits Pay Grade - N Equity Grade - 4 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). ESP base pay range per year: €86,000 - €122,000 Additional benefits include: • Flexible Spending Wallets for tech, food and lifestyle • Away Days - wellness days to take off work and recharge • Learning & Development programs • Parental benefits • Employee Resource & Community Groups Location - Remote Spain We are able to offer visa sponsorship for this role, but do require that someone is based in Spain for the role. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We're committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we're happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's  Global Candidate Privacy Notice and consent to the use of your personal information as described.