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 Vehicle Efficiency Engineering (VEE) team is responsible for vehicle-level attributes that directly impact efficiency, performance, and customer experience. Working closely with product development, manufacturing, testing, validation, and attribute teams, Efficiency Engineering plays a critical role in delivering efficient, high-performing vehicles that meet customer expectations and regulatory requirements. Through a combination of engineering expertise, data-driven decision-making, and cross-functional collaboration, the team influences key decisions from concept development through production launch and beyond. About the Role As a Technical Specialist, Vehicle Systems Modeling, you will define the modeling methods and cross-functional evidence used to answer vehicle-efficiency, architecture, and performance questions. You will lead CFD and coupled physical-system modeling across thermal, propulsion, charging, chassis, aerodynamic, and controls domains and connect models to instrumented test data. In your first 12 months, success means an adopted modeling strategy, correlated priority models, reproducible analysis workflows, and faster design decisions across vehicle programs. Lucid offers technical ownership of the evidence chain from first-principles models through vehicle-level decisions. What You Own Technical Leadership: Align hardware, software, controls, test, and program stakeholders; review critical evidence; mentor engineers; and present decision-ready recommendations. Modeling Strategy: Define fit-for-purpose methods, fidelity, assumptions, uncertainty, and sign-off criteria for vehicle-efficiency and physical-system models. CFD and Multiphysics: Lead targeted CFD and thermal-fluid simulations for HVAC, cooling, aerodynamic, and other vehicle systems and translate results into design decisions. Coupled Vehicle Models: Develop and integrate mechanical, electrical, and thermal models spanning batteries, drive units, inverters, chargers, chassis, HVAC, and controls. Engineering Workflows: Build reusable pre-processing, parameter-study, optimization, post-processing, version-control, and regression workflows using Python, MATLAB, or equivalent tools. Correlation and Validation: Partner with test teams on instrumentation and experiments, correlate models to physical data, quantify uncertainty, and close gaps to agreed criteria. Qualifications: Advanced hands-on capability with commercial CFD plus system-modeling and data-analysis tools. Passion for problem-solving, and curiosity to discover and understand. Proven technical leadership of model development, instrumented testing, model-to-test correlation, and cross-functional engineering decisions. Deep expertise in thermodynamics, fluid mechanics, heat transfer, numerical methods, and physics-based modeling. Bachelor's or higher degree in Mechanical Engineering, Aerospace Engineering, Automotive Engineering, Thermal Sciences, or in a related technical discipline. 8+ years of related experience with a bachelor's degree, 6+ years with a master's degree, or 3+ years with a PhD. Preferred: Experience and passion for hands-on work. Electric-vehicle modeling experience across batteries, drive units, inverters, charging, chassis, cooling, HVAC, or controls. Experience with ANSYS Fluent, Star-CCM+, OpenFOAM, reduced-order models, plant models, or coupled multidomain simulations using tools such as GT-SUITE, Simulink, AMESim, Python, or MATLAB. Experience with vehicle instrumentation, data acquisition, CAN data, test automation, and model correlation. Experience with Git, automated regression, reusable modeling standards, optimization, or high-performance-computing workflows. Work Requirement This role is fully onsite at our Newark, CA headquarters. Daily in-person presence is required. 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) $166,500 — $244,200 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.
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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. About the role Lucid is putting an AI layer over the systems that run our commercial and industrial operations, how we sell vehicles, how we service them, and how we move parts through a global supply chain. This role sets the technical direction for that work and is accountable for what reaches production. You will sit close to the business. Sales, Service and Supply Chain leaders will bring you problems, and you will decide what is worth building, design it, build the hard parts yourself, and lead a distributed engineering team to deliver the rest. This is a hands-on lead role, architecture and code, not a management track. What you'll do Own the architecture for LLM-based and agentic systems across Sales, Service and Supply Chain: assistants over enterprise knowledge, agents that act against internal APIs, document and data extraction pipelines, and the platform pieces they share. Deliver those systems into the channels our customers and employees already use: web and in-app chat, email and SMS. Own the conversational contract across them, including threading, context carry-over, handoff to a human, and tone appropriate to the channel. Turn business problems into engineering plans. Work directly with stakeholders to define the outcome, then sequence the work so value lands early and often. Build the parts that make AI safe to run in the enterprise: input and output guardrails, identity-aware access to tools and data, prompt governance, and clear trust boundaries between internal and external-facing surfaces. Own the tool layer, including MCP servers and internal tool interfaces, so agents reach business systems through contracts that are versioned, permissioned and testable. Define how quality is measured, including evaluation datasets, regression suites, tracing and production telemetry, and make it the default gate for prompt and model changes. Own the unit economics. Set targets for cost and latency per conversation and per resolution, and hold them through model routing, context trimming, caching, batching and right-sized retrieval. Integrate with systems of record: ERP, supplier portals, service and CRM platforms, logistics and planning systems. The interesting problems here are data, integration and correctness more than model choice. Set standards the wider team builds on , such as shared services, reusable patterns and review expectations, and make sure they hold up outside your own code. Lead technically across time zones, including close partnership with our engineering team in India. Mentor engineers, review designs, and be the person others bring their hardest problem to. Be honest about where AI helps and where it does not. Part of the job is preventing expensive detours. What you'll bring 10+ years building and operating production software, with 3+ years owning the technical direction of a team or a significant platform. Strong Python and solid distributed systems fundamentals. Comfortable owning services end to end, including what happens after they ship. Real production experience with LLM applications: retrieval-augmented generation, agent and tool-calling patterns, structured output, streaming, prompt design and iteration under load. Strong hands-on experience with LLM engineering tooling such as Langfuse or LangSmith , used for tracing, prompt versioning, evaluation runs and production monitoring, not only local experiments. Good working experience with MCP: building and consuming MCP servers, designing tool schemas, and handling authentication and permissions at the tool boundary. Practical command of LLM cost optimization: model routing and tiering, context and prompt compression, prompt caching, batching, token budgeting, and knowing which lever to pull when spend moves the wrong way. Experience delivering AI over customer and employee communication channels such as chat, email and SMS, and the integrations behind them. Judgment on the model landscape, across hosted models, managed services and fine-tuning, enough to make a defensible choice on cost, latency and accuracy and move forward. Strong AWS engineering (or equivalent): serverless and container workloads, event-driven design, IAM, networking basics, and a working sense of what things cost at scale. Experience with the data layer behind AI systems, relational, document and vector, and with keeping retrieval accurate as content and users grow. A concrete point of view on evaluating AI systems, and the discipline to build the harness before scaling the feature. Experience working with non-technical stakeholders and translating between business intent and system design. Nice to have Automotive, manufacturing, logistics or another operations-heavy domain background. Exposure to SAP, supply chain execution, EDI, or field service and CRM platforms. Hands-on work with messaging and contact center platforms such as Twilio, Amazon SES or Pinpoint, Salesforce Service Cloud, or similar. Security-sensitive AI work: prompt injection defense, tenant or supplier data isolation, red-teaming. Multi-agent orchestration, or experience running an evaluation program at scale. Experience leading distributed teams across US and India time zones. How we work Small teams with direct ownership and a short path from a business problem to a running system. We prefer working software and measured results over decks, and we expect engineers at this level to have opinions and defend them with evidence. 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) $216,600 — $317,680 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.
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. Position Overview We are seeking an experienced Senior Engineering Manager, Data Platform and AI to lead the strategy, architecture, delivery, and operation of an enterprise data platform that ingests high-volume vehicle telemetry and enterprise systems data, integrates and curates it into trusted data products, and provides scalable, governed, AI-ready data foundations. This role will oversee teams building business-critical capabilities for engineering, manufacturing, supply chain, finance, sales, service, and corporate functions. The ideal candidate combines strong engineering leadership with deep technical expertise in data engineering, data quality, AWS, and Amazon Redshift. You will build and lead a high-performing team responsible for reliable batch and streaming ingestion, cross-domain data integration, identity resolution, data curation, governance, and platform operations at scale. What You'll Do Lead Data & AI Platform Engineering Define and execute the strategy and roadmap for enterprise data, telemetry, and AI platforms. Lead, mentor, and grow a high-performing team of data and platform engineers. Drive engineering excellence through automation, operational rigor, and modern development practices. Partner with business and technology leaders to deliver high-impact data products and capabilities. Build and Scale Data Platforms Own the architecture, reliability, performance, security, and cost efficiency of the enterprise data platform on AWS. Lead the design and operation of Amazon Redshift, including data modeling, distribution and sort strategies, workload management, scaling, performance tuning, access controls, and cost optimization. Develop and operate scalable data lakes, warehouses, streaming platforms, orchestration frameworks, and self-service data capabilities. Establish reusable platform patterns, data contracts, metadata standards, and automation that improve delivery speed and operational consistency. Lead Enterprise & Telemetry Data Engineering Build and operate high-volume, resilient batch and real-time pipelines that ingest vehicle telemetry and data from enterprise applications. Integrate and stitch telemetry with manufacturing, supply chain, sales, service, finance, customer, and master data to create consistent cross-domain views. Address schema evolution, late-arriving events, time-series processing, event ordering, data contracts, and vehicle-to-enterprise identity resolution. Curate governed, reusable data products and standardized business entities that support analytics, engineering diagnostics, machine learning, and Generative AI. Provide secure, reliable self-service access to trusted telemetry and enterprise data for engineering, data science, and business teams. Drive Data Quality, Governance, and Operational Excellence Define and enforce data quality standards, ownership, controls, and measurable SLAs across critical data products. Implement data profiling, validation, reconciliation, lineage, observability, anomaly detection, and root-cause remediation capabilities. Establish monitoring, incident management, disaster recovery, and service-level objectives for business-critical data services. Lead platform modernization, performance optimization, security, compliance, and cloud cost optimization initiatives. Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. 12+ years of experience in data engineering, data platform engineering, distributed systems, or large-scale data technologies. 6+ years of experience leading engineering teams and delivering enterprise-scale, production data solutions. Deep hands-on expertise in Amazon Redshift, including dimensional modeling, distribution and sort strategies, workload management, query and storage optimization, security, scaling, and cost management. Proven experience integrating high-volume vehicle, IoT, connected-product, or telemetry data with enterprise transactional and master data. Strong knowledge of data quality management, including profiling, validation, reconciliation, lineage, observability, quality metrics, and remediation processes. Experience creating curated, governed, reusable data products and AI-ready datasets for analytics, machine learning, and Generative AI. Deep understanding of batch and streaming architectures, schema evolution, event processing, time-series data, data contracts, and distributed data systems. Strong AWS experience and hands-on knowledge of technologies such as S3, Glue, Lambda, Kinesis or Kafka, Airflow, Spark, IAM, Terraform, CI/CD, and observability platforms. Strong programming skills in Python and SQL, with experience in Java and/or Scala preferred. Strong software engineering foundation and experience operating secure, reliable, petabyte-scale data platforms in production. Excellent communication and stakeholder management skills, with the ability to translate business and AI use cases into scalable technical solutions. Why Join Us You will lead a strategic engineering organization responsible for connecting vehicle telemetry and enterprise data to create trusted, governed, AI-ready foundations. This is an opportunity to shape the AWS and Amazon Redshift data platform, improve data quality and accessibility at enterprise scale, enable advanced analytics and AI, and develop a world-class engineering team. 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) $211,400 — $310,090 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. 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: Define research goals, setup dataset and training code to hill-climb the model performance, analyze the results and define the next sets of experiments Write a good document for communicating with team members Able to use the feedback from the team members to adjust the setup, experiments, and research directions You have: Currently pursuing a PhD in Computer Science, Robotics, Machine Learning, or a related quantitative field Knowledge of pre-training and post-training of the large foundation models Hands-on experience of training modern AI models Good analytical skills and interpret experiments results and forming verifiable hypothesis Write a bug-free code, and able to implement correct software without much guidance We prefer: Have a solid research background in robotics or self-driving cars Familiar with modern AI infrastructure and tooling such as pytorch, jax, and comfortable in working on cluster/server environments Have a strong research skill and publish several papers in top conferences 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: Design, implement, and benchmark a system where LLM meta-agents generate, synthesize, and iteratively refine reward functions for autonomous driving planning policies Diagnose policy failure modes, reward exploitation, and multi-objective trade-offs, integrating findings back into the automated discovery loop Collaborate with scientists engineers to transfer validated reward formulations and tooling into planner recipes Document research outcomes, distill key design patterns, and prepare findings for internal tech transfers and potential conference publication You have: Currently pursuing a PhD in Computer Science, Robotics, Machine Learning, or a related quantitative field Strong hands-on experience in Reinforcement Learning (RL / RLFT) and training deep learning policies with PyTorch or JAX Demonstrated proficiency in Python and modern ML engineering practices Familiarity with autonomous vehicle planning, trajectory optimization, or sequential decision-making under uncertainty We prefer: Track record of peer-reviewed publications at top AI/robotics conferences (e.g., NeurIPS, ICRA, IROS, CoRL, ICML, ICLR, CVPR) Experience with LLM-guided code generation, automated reward discovery (e.g., Eureka-like frameworks), or meta-RL methods Hands-on experience with RL or RLFT training in LLM/VLM/robotics Proven ability to independently drive an exploratory research problem from ideation to implementation and results 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
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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. Overview: Financial management is crucial to the performance and success of any company. The roles and responsibilities of the Coursera Finance team include accounting, financial reporting, analysis, planning, budgeting, and compliance. Problem solvers at heart, this team works to fuel Coursera's growth by developing creative solutions in response to accounting and finance challenges. Coursera is seeking an experienced Accounts Payable Specialist to join our growing Finance team. The Accounts Payable Specialist will assist with daily AP operations, such as managing vendor relations, working closely with business stakeholders for processing invoices and expense reports, and assisting with month-end close tasks. The ideal candidate will be a detail-oriented professional who multi-tasks well and can handle shifting priorities in a fast-paced environment. What you'll be doing: Process invoices across Coursera's global entities, ensuring accurate coding, alignment with contracts, and timely resolution of internal and external invoice and payment inquiries Manage vendor onboarding and maintain complete, accurate vendor records and tax documentation; support annual Form 1099 filings and coordinate with the Tax team on withholding tax compliance Support month-end close by preparing accruals for invoices pending approval and gathering information for accrual estimates Review, process, and audit employee expense reports for accuracy and policy compliance; maintain T&E policies and procedures and provide employee training and guidance Administer the travel management platform and corporate travel credit card program, maintaining accurate employee profiles, overseeing reconciliations, and resolving discrepancies, unauthorized charges, missing receipts, and policy violations Analyze T&E data to monitor spend, identify trends and cost-saving opportunities, and support system enhancements, process automation, and other improvement projects Qualifications: 6+years of experience in a similar role Knowledge of US GAAP and end to end Procure to pay process in IT services/SaaS/technology companies Experience with Excel, G-suite particularly using advanced functions Experience with Netsuite, Coupa, ZIP, Navan and Workday Expenses as an end user or administrator About your skills: Bachelor's Degree in Accounting or related area of study Previous experience with AI tools Able to work both independently, cross-functionally and collaboratively across multiple time zones Organized and able to work in a fast paced and deadline driven environment Excellent written and verbal communication skills Values collaboration and contributing to the shared goals and success of the team and company #LI-MJ1 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 Maps are part of nearly everything Samsara builds. Vehicles, routes, sites, assets, and safety workflows all depend on knowing where things are and how the physical world fits together. The Maps team is building the shared geospatial platform that makes that possible. We source, ingest, enrich, and serve the map data that Samsara's product teams use every day: from road networks and points of interest to addresses, boundaries, and customer-specific map context. Our customers are the engineers building products for millions of workers and the businesses that depend on them. When our data and APIs are accurate, reliable, and easy to use, every team building location-aware experiences at Samsara moves faster. We're hiring a Staff Software Engineer to help set the technical direction for this platform. You'll work across the geospatial stack: building data ingestion and processing pipelines, modeling and serving map data, improving map matching and routing foundations, and creating APIs that make spatial capabilities reusable across Samsara. It's a small team with broad ownership, and the systems you build will become foundational infrastructure for teams across the company. This role is remote and open to candidates based in the US. You might be a good fit if: You enjoy working with internal and external customers to iterate and build software platforms You care about what Samsara does. The software we build helps keep grocery shelves stocked, lights on, and workers safe on the job. You work with urgency and think through the best solutions for the opportunities, requirements, and scale in front of you. You work well with others. We move faster when we move together. In this role, you'll: Shape the technical direction of the Maps teams Build geospatial systems and integrations that support foundational features across most Samsara products. Scale our offerings to continue to support storage, query and computational load of the real-time features dependent on them Consolidate existing team-specific geospatial solutions into scalable platform-wide offerings. Build agentic solutions that allow our customers to self-serve the data they want to see how they want to see it. Raise the technical bar through code reviews, design discussions, and mentorship Partner with engineering leadership on the bets worth making, and be honest about tradeoffs Represent Samsara externally when it makes sense — talks, open source, community engagement with the mapping/geospatial ecosystem Live out our cultural principles: Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, and Win as a Team Minimum requirements: Bachelor's degree in Computer Science, Engineering, or equivalent practical experience 8+ years building software, with at least 2 years in an architect or technical leadership role Strong programming and design fundamentals 4+ years working on large-scale distributed systems 4+ years leading technical projects across multiple teams Nice to have: Experience with GIS technologies and spatial analysis, including PostGIS, spatial SQL, GeoPandas/Shapely, QGIS, and geospatial data validation Familiarity with geospatial data formats and open mapping ecosystems, including GeoParquet, OpenStreetMap (OSM), and OSM PBF; experience ingesting, transforming, validating, or serving these datasets Comfort working in ambiguity and getting teams aligned without needing formal authority 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 $162,400 — $290,000 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 .
POSITION SUMMARY: Natera is looking for an Associate Director, Tax to manage and facilitate the accurate preparation and filing of our company's various tax and compliance filings including, state and federal income and business tax filings, international tax compliance, as well as multi-state sales and use tax returns. The ideal candidate is a team player who creates and implements tax plans, forecasts, and works with the accounting and leadership teams to identify opportunities for process improvement, tax savings, and potential areas of risk. The Tax and Compliance Manager will ensure compliance with state, federal and international tax law through a series of systems, inquiries and controls that are designed to ensure accurate, timely reporting. They will monitor current and impending changes to tax regulation and make the appropriate updates to policies and strategies. The ideal candidate is single minded in their pursuit of ensuring compliance and achieves this goal through optimizing reporting procedures and driving the successful performance of the tax function. This role will be reporting to Corporate Controller. PRIMARY RESPONSIBILITIES: Responsible for federal, state and international tax related accounting and compliance, including such taxes as income, business, sales and use, withholding, HST/GST, VAT and property taxes, as well as preparing and/or coordinated other regulatory and compliance filings as required. Facilitate and manage the preparation and review (including for SOX compliance documentation purposes) company federal and state tax returns and the accurate, timely filing of all tax forms. Ensure accurate, timely filing of consolidated federal, state and local income tax returns and other business-related filings, including sales, use, property tax returns and additional statutory recurring filings. Prepare adjusting journal entries as needed. Responsible for tax related accounts and related reconciliations Find and implement opportunities for process improvement in company tax procedures. Develop and implement strategic tax planning for all necessary federal, state and international taxes. Manage relationship with third party consulting firm who is currently assisting with miscellaneous tax compliance initiatives and tax returns. Plan for and develop overall tax returns and business tax and compliance filings calendar and coordinate timing and inputs from accounting team and management. Maintain effective control procedures over all aspects of the tax process. Manage and facilitate IRS income tax audits: preparing responses, creating schedules, etc. Monitor legislative and regulatory tax law developments, communicate the effects of these developments to management and the tax team and create strategies to capitalize on changes to taxation legislation. Provide support with various internal audits and special tax related projects. Review tax returns and quarterly/yearly tax projections. Occasionally be involved with employee level taxation questions such as equity related with holdings. Being fully engaged in external audits of internal controls by Big 4 and oversee and monitor progress and execution. To be engaged in any other related adhoc projects, as needed. Duties typically performed in an office setting. This position requires the ability to use a computer keyboard, communicate over the telephone and read printed material. Duties may require working outside normal working hours (evenings & weekends) at times. QUALIFICATIONS: 7+ years of experience as a tax manager in public accounting. Have a current CPA license preferred. Extensive individual and corporate tax knowledge. Familiarity with U.S. federal, state and local reporting requirements. Familiarity with international taxation in withholding and VAT taxation. Strong knowledge of tax code, compliance and procedures for corporations. Strong experience with a variety of tax operations and ability to drive process improvements. Proficient with the following software/tools: Microsoft Office (especially Excel and Word), Outlook, gSuite (GMail, Sheets, Hangouts). KNOWLEDGE, SKILLS AND ABILITIES: Ability to work well independently as well as the ability to work well with stakeholders and communicate the benefits of tax initiatives. Strong organizational and interpersonal skills Ability to communicate effectively with others in written and spoken English. Ability to prepare and deliver compelling presentations to others of varied cultural perspectives and levels of organizational responsibility. Ability to establish and maintain harmonious working relationships with colleagues, staff and external contacts, and to work collaboratively and cooperatively in a professional team environment. Demonstrated capacity for gathering and scrutinizing data to identify issues, opportunities, patterns, and sustainable business solutions. Foster a "client service" culture and instill a work ethic that includes collaboration. Strong ability to utilize project management and accounting best practices to organize and prioritize tasks and the tasks of other tax team members. Compensation & Total Rewards This range reflects a good-faith estimate of the base pay we reasonably expect to offer at the time of hire. Final compensation will vary based on experience, qualifications, and internal equity considerations. This position is also eligible for additional compensation and benefits through Natera's robust Total Rewards program, including: Annual performance incentive bonus Long-term equity awards Comprehensive health benefits (medical, dental, vision) 401(k) with company match Generous paid time off and company holidays Additional wellness and work-life benefits Compensation Range $143,600—$179,000 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women's health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you'll work hard and grow quickly. Working alongside the elite of the industry, you'll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit www.natera.com . Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: https://www.natera.com/notice-of-data-collection-california-residents/ Please be advised that Natera will reach out to candidates with a @ natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information: - BBB announcement on job scams - FBI Cyber Crime resource page
Blend is a diverse team of problem solvers who believe that the world's financial resources should be more accessible. Our cloud banking platform is used by Wells Fargo, U.S. Bank, and over 330 other financial services firms to acquire more customers, increase productivity, and deliver end-to-end digital experiences. Our software enables our customers to process an average of more than $5 billion in loans per day, making it possible for consumers to reach their financial goals faster and lead better lives. Come do work that matters. Job Summary Blend IT runs three complementary teams: Helpdesk (day-to-day employee productivity, including hands-on fleet and identity operations), Infrastructure & Projects (platform-level architecture for the systems, SaaS, and automation tooling IT depends on), and Enterprise Apps (Finance, GTM, and People Ops stacks). We're hiring a Senior Helpdesk Engineer to be the bridge between the T1 queue and Helpdesk's project work: own escalations that go past Tier 1, and take Helpdesk-driven projects, especially the AI-and-automation-first initiatives that keep getting pulled off track by day-to-day capacity, from kickoff to finish without needing someone else to close the loop. You'll be the person asking "should a human even be doing this one?" for every recurring request, and then actually building the answer, freeing Helpdesk leadership to set direction instead of getting pulled back into the queue to keep projects moving. This is a builder's role, not a ticket-taker's role. We're looking for someone who is genuinely self-learning: comfortable researching an unfamiliar problem from scratch, forming a hypothesis, testing it, and proposing a fix, rather than waiting to be told the answer or escalating everything that isn't already documented. You'll be expected to bring solutions to the table, not just tickets, and to own a project through to completion, not just start it. How You Will Contribute AI & Automation: Owning the Pivot Identify recurring ticket patterns and turn them into automated or AI-assisted resolutions: self-service, agentic triage, workflow automation (e.g., Workato), rather than solving the same request by hand every time. Propose and prototype new automation or AI approaches to Helpdesk work; bring ideas forward rather than waiting for direction. Continuously evaluate what should move from "a human resolves this" to "a system resolves this, with a human as backstop," and help build that system. Document what you automate so it survives past you. Future teammates shouldn't have to reverse-engineer a workflow to trust it. Senior Escalation & Technical Ownership Be the escalation point for tickets that exceed Tier 1 scope: deeper troubleshooting, ambiguous root causes, cross-system issues. Research unfamiliar problems independently. Read the docs, test a hypothesis, consult the right internal owner when genuinely stuck, and drive the ticket to a real resolution rather than a workaround. Keep resolutions durable: document fixes so the same hard problem doesn't get re-solved from scratch next time. Project Ownership, Start to Finish Own Helpdesk-driven projects end to end: scope, plan, execute, and close, without needing someone else to carry it over the finish line. New tooling rollouts, fleet or identity initiatives, cross-team asks. Flex between queue support and project work based on where Helpdesk needs capacity that week, without either one silently dropping. Who You Are 5+ years of IT support experience, including meaningful time past Tier 1. You've already handled escalations and carried at least one real project from kickoff to done, not just followed a runbook. A genuinely self-learning mindset: given an unfamiliar problem, you research it, form a hypothesis, and test it. You don't wait for someone to hand you the answer, and you proactively propose solutions rather than just surfacing problems. Real curiosity about AI and automation tooling. You don't need to have shipped a production agent or workflow yet, but you should already be experimenting, or clearly want to. Comfortable owning ambiguity and moving between queue work and project work without losing track of either. Hands-on with a modern endpoint/identity stack (JAMF, Intune, Okta, or comparable) and a modern ITSM (Freshservice, Zendesk, Jira Service Management). Strong macOS and Windows troubleshooting fundamentals plus working knowledge of networking (DNS, DHCP, VPN, Wi-Fi) at the endpoint level. Senior peer presence: comfortable driving a project without close supervision, and giving/receiving direct feedback with teammates and stakeholders. Clear communicator, comfortable working async with distributed teammates across the US, India, Mexico, and Spain. Comfortable in a Google Workspace-first environment, with working familiarity with Confluence for documentation. Bonus Points Hands-on experience with workflow automation platforms (Workato, Zapier, n8n, or similar). Experience building or supporting AI-assisted support tooling : ticket triage, auto-response drafting, internal copilots, agentic workflows. Scripting fundamentals (Bash, Python, PowerShell). Background in fintech, banking, or another regulated industry (SOX, SOC 2). Experience supporting a multi-region, distributed workforce. Compensation: Base Salary Range: $90,000 to $106,000 (This applies to full time hires. Final offer determined by multiple factors, including but not limited to function, level, geographic location, job related knowledge, skills, and experience.) Bonus: Eligibility is contingent upon both company performance against established goals and achievement of individual performance objectives. Equity: Meaningful Restricted Stock Units in public company stock (NYSE: BLND) so you share in Blend's long-term growth and success. Our Benefits at a Glance We offer a comprehensive and competitive benefits package designed to support your health and work-life balance. Health & Wellbeing We offer medical, dental, and vision benefits, with a generous employer contribution that helps keep your medical insurance costs low. Company-paid life, short-term, and long-term disability coverage Generous PTO, holidays, and maternity/parental leave Employee Assistance Program (EAP): mental health, legal, childcare & eldercare, financial planning, college search, and more Voluntary benefits: accident, critical illness, hospital indemnity, identity theft, and legal insurance Monthly wellness stipend for fitness, mental health, and well-being Additional perks: Milk Stork, pet insurance, and paid volunteer time off Growth & Future 401(k) retirement plan with company match Pre-tax savings: healthcare & dependent care FSAs, Limited Purpose FSA, and HSA
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's Affiliate Marketing Team is seeking a Senior Affiliates Manager to join us as we continue to expand and evolve our affiliate partnerships across multiple verticals. This role will lead our "Banking" vertical, with primary ownership across our Checking & Savings , Smart Card , Invest , and Crypto products. You'll work closely with cross-functional teams to shape and execute affiliate strategy, drive growth and performance across the portfolio, and ensure strong operational and compliance discipline. You'll also lead internal stakeholder and partner engagement while overseeing key areas including reporting and analytics, forecasting, budgeting, and program optimization. What you'll do: Lead the Banking affiliate portfolio across Checking & Savings, Smart Card, Invest, and Crypto, owning strategy, performance, and growth across the vertical Develop and execute affiliate strategies that drive sustainable, efficient growth, balancing volume, acquisition economics, member quality, and long-terMat business objectives Build, manage, and grow high-value affiliate partnerships, from prospecting and negotiation through activation, optimization, and expansion Translate performance data, market insights, and partner trends into clear strategic recommendations and actionable growth opportunities Own portfolio-level forecasting, budgeting, performance management, and optimization, ensuring affiliate investment is aligned to business goals and deployed efficiently Use data and analytics to continuously optimize campaign strategy, partner mix, placements, creative, and channel economics Identify opportunities to improve the affiliate funnel from lead through revenue, partnering with internal teams and affiliates to unlock incremental growth and improve performance Establish and evolve the affiliate partner strategy, including prioritization, relationship development, recruitment, and expansion of strategic accounts Serve as a senior affiliate leader and trusted strategic partner to Business Units, Growth Engineering, Data Science, Marketing, Compliance, and other cross-functional teams, aligning stakeholders around priorities and driving initiatives from strategy through execution Lead executive-level and cross-functional conversations with the ability to influence decisions, resolve complex issues, and represent Affiliate Marketing's perspective across the organization Identify opportunities to strengthen the Affiliate organization's strategy, operating model, processes, and capabilities to support continued growth and long-term channel scalability Mentor and develop team members, sharing affiliate expertise and helping build a high-performing, data-driven culture across the channel Highly self-motivated and success-driven professional, capable of generating relationships through own initiative What you'll need: 3+ years in Affiliate Marketing 7+ years of experience Bachelor's degree Strategic, data-driven mindset with demonstrated experience optimizing, scaling, and growing performance-based partnerships Proven ability to translate complex data into actionable insights and business recommendations Exceptional communication, relationship-building, and stakeholder management skills, with the ability to influence internally and externally, and across functions and levels Experience with affiliate marketing platforms and data/reporting tools such as Impact, Tableau, Snowflake, or similar Ability to thrive in a fast-paced, performance-driven environment while balancing competing priorities and driving results Strong organizational and time management skills, with the ability to independently manage a broad portfolio of urgent priorities Understanding of and commitment to affiliate compliance, including applicable state and federal regulations and internal policies Experience in financial services or fintech preferred 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. The mission of our team is to build a scalable and secure AI platform that enables security teams across Robinhood to develop and operate AI-powered agents and security solutions with confidence. As a Software Engineer on the AI Security team, you'll help build the foundational platform, infrastructure, and security primitives that make it easier for teams to develop AI-powered security capabilities at scale. You'll work on complex engineering problems at the intersection of AI, distributed systems, and security, with a particular focus on areas such as identity, authentication, authorization, encryption, and platform safety. You'll partner closely with security and engineering teams across Robinhood to create systems that make AI development easier while ensuring security is built into the platform from the start. This is a hands-on engineering role for someone who enjoys building platforms, solving complex technical problems, and helping shape how AI is securely adopted across security. This role is based in our Menlo Park, CA and Bellevue, WA office(s), with in-person attendance expected at least 3 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 build a scalable AI platform that enables security teams to develop, deploy, and operate AI-powered agents and security capabilities Build foundational platform services, APIs, libraries, and SDKs that make it easier for teams to integrate AI into security workflows Design secure systems with strong identity, authentication, authorization, encryption, and data protection controls Build and operate reliable, large-scale distributed systems that support AI-powered security use cases Develop platform capabilities and guardrails that enable teams to safely build and operate AI agents Partner with security, infrastructure, and engineering teams to understand their needs and translate them into reusable platform capabilities Identify opportunities to improve platform performance, developer experience, reliability, and security through automation Help shape the technical direction and architecture of Robinhood's AI Security platform as the team and platform continue to grow What you bring 3+ years of software development experience 2+ years of experience building large-scale distributed systems, with experience designing systems around security concepts such as authentication, authorization, identity, or encryption Experience building AI platforms, AI infrastructure, or production systems that support AI-powered applications or agents Proficiency in Go or Python, with strong problem-solving and production debugging skills Experience with cloud-native platforms and distributed systems technologies such as AWS, Kubernetes, gRPC, or Kafka Strong understanding of security fundamentals and experience incorporating security into the design of production systems Experience designing and building reusable platform capabilities, APIs, libraries, or developer tooling Proven experience delivering large engineering projects with meaningful, long-term impact Strong technical judgment and the ability to make thoughtful trade-offs across security, reliability, scalability, and developer experience Ability to solve complex engineering problems and collaborate effectively across security and engineering teams 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 Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents Access to the Robinhood Employee Fund that gives eligible US employees the opportunity to invest in a private employee fund that provides exposure to Robinhood Ventures funds. Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not. 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 one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $166,000 — $195,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $147,000 — $172,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $130,000 — $152,000 USD 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.
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. Our Marketplace is continually evolving to deliver a deeply personalized shopping experience that seamlessly links consumers with merchant partners. By leveraging machine learning alongside rich consumer and merchant data, we aim to simplify and streamline the customer journey around everyday and major purchases with tailored brands, products, deals, and offers. In tandem, we are advancing our Ads Platform which is a key technology that empowers merchant partners to strategically deploy their budgets and reach targeted consumers for maximum incremental impact. What You'll Do With the support of your team's tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will support the operations and availability of your team's artifacts by creating and monitoring metrics, escalating when needed, and supporting "keep the lights on" & on-call efforts. You will contribute to a sense of community on your team by engaging in growth and development activities such as participation in the interview process. What We Look For You have a total of 1.5+ years of experience as a software engineer. You have experience shipping web apps using declarative UI frameworks like React. You have experience designing, developing and launching APIs at scale using languages like Python or Kotlin. You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews. 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. This position requires either equivalent practical experience or a Bachelor's degree in a related field. Base Pay Grade - L Equity Grade - 5 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). CAN base pay range per year: CAD $133,000 - $183,000. This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. #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.