Drivers Jobs

We are looking for research interns to join our Quantitative Equity team for 4 to 8 months starting in January or May 2027. We are a top-performing quant fund that manages over $111 billion in financial assets, with a track record spanning more than two decades. As a privately owned firm, we take a long-term perspective, investing in lasting business success and the long-term careers of our people. What You Will Do Investing presents a rich set of research problems that you will explore in this role. Quantitative Researchers lead the development of our investment models and strategies. As an intern, you will work on a real investment research project that requires thinking deeply about the factors that determine business success and modeling the complex dynamics of capital markets, including how information is created, interpreted and reflected in prices. Y our work will have a direct impact on investment outcomes. You will own your research project from beginning to end, including idea generation, signal construction, backtesting and calibration. There is plenty of opportunity to collaborate with your peers and receive mentorship from senior members of our research team. Our team works with: State-of-the-art techniques, including reinforcement learning, large language models, AI agents and econometric methods Large financial and alternative data Advanced technologies, such as high-performance computing infrastructure and custom research systems What You Bring Exceptional quantitative and technical ability : a strong foundation in mathematics, statistics, computer science, economics, finance or a related discipline An interest in finance: an interest in the domain is essential ; an understanding of capital markets and the drivers of business success is valuable but not required Evidence of exceptional ability and achievement: demonstrated through academic, professional, research, competition

We're looking for an Account Executive, Acquisition who will be responsible for prospecting and selling within an assigned territory to uncover new business opportunities. The AE will identify, nurture, and close new business opportunities, run forecasts, and supervise customer data. The AE will also be responsible for quarterly and annual sales targets in the designated region, work with Solution Architects, Marketing, SDR Teams, Partners/Resellers within the region to improve the velocity of business and to build solutions that serve the best interests of our customers at MongoDB. We are looking to speak to candidates who are based in Singapore for our hybrid working model. Responsibilities Develop new business opportunities by driving sales in their designated territory as well as new accounts development, territory planning and execution to achieve targets via activities such as but not limited to, cold calling, prospecting, qualification, account mapping, and presentations Effectively utilize sales tools for pipeline development, tracking opportunity progress (Forecasting), developing monthly, quarterly level forecasts Responsible for all aspects of the selling process - Identity, Qualify, Sell, Close, and Coordinate for all volume business in a designated territory Generate leads by using networking and other sales tools Qualify, Sell and Close Identify key steps to close the sale, identify the decision-maker and influencers, etc Resolve Availability needs and Objectives Gain agreement of proposed solution / Services, tying back to customer business drivers Close significant sales across multiple Accounts across assigned territory Accurate Forecasting of business, previous experience with Salesforce.com is ideal Requirements 5 years + of sales closing experience in software/technology solutions Ability to present & excellent listening skills Daring selling approach | consultative selling A strong network of relationships with key decision-makers in small/m

We are looking for researchers to join our Quantitative Equity team. We are a top-performing quant fund that manages over $111 billion in financial assets, with a track record spanning more than two decades . As a privately owned firm, we take a long-term perspective, investing in lasting business success and the long-term careers of our people. What You Will Do Investing presents a rich set of research problems that you will explore in this role. Quantitative Researchers lead the development of our investment models and strategies. This requires thinking deeply about the factors that determine business success and modeling the complex dynamics of capital markets, including how information is created, interpreted and reflected in prices . Y our work will have a direct impact on investment outcomes. You will own your research projects from beginning to end, including idea generation, signal construction, backtesting and calibration. There is plenty of opportunity to collaborate with your peers and receive mentorship from senior members of our research team. Our team works with: State-of-the-art techniques, including reinforcement learning, large language models, AI agents and econometric methods Large financial and alternative data Advanced technologies, such as high-performance computing infrastructure and custom research systems What You Bring Exceptional quantitative and technical ability : a strong foundation in mathematics, statistics, computer science, economics, finance or a related discipline An interest in finance: an interest in the domain is essential ; an understanding of capital markets and the drivers of business success is valuable but not required Evidence of exceptional ability and achievement: demonstrated through academic, professional, research, competition, entrepreneurship, or other accomplishments The starting annual base salary range is $200,000 – $350,000 for new graduates.

Role Description Dropbox is seeking a Head of Scaled Sales to build and lead our sales-assisted growth motion from the ground up. This is a foundational leadership role for an entrepreneurial builder who is energized by creating a new motion from 0 to 100 and pairing product-led growth with the right sales touch to accelerate conversion, expansion, and efficiency. This leader will design the segmentation, coverage, and experimentation systems that determine when, where, and how sales engages self-serve customers, while partnering closely with marketing, data science, and sales analytics to turn signals into action. The right candidate will bring a strong operator mindset, deep fluency in PLG and hybrid GTM models, and a clear point of view on how to balance AI and human judgment to improve outcomes at scale. Responsibilities Build a self-serve segmentation model that identifies the right customers for the right sales motion, maximizing cost efficiency, conversion, and speed through the funnel. Design and implement a highly efficient coverage model that introduces sales engagement at the optimal point in the customer journey. Partner closely with data science and sales analytics to develop and operationalize a data-driven targeting strategy. Work cross-functionally with marketing to deliver targeted campaigns to the right customers at the right time with the right message, improving take rates and product expansion. Define how AI should be deployed across the scaled sales motion to improve productivity and business outcomes, while making sound decisions about where human engagement adds the most value. Build and run a strong experimentation framework that enables rapid testing, learning, and iteration across segmentation, outreach, coverage, and conversion strategies. Establish clear operating rhythms, performance metrics, and diagnostic frameworks to understand business drivers and inform resourcing and investment decisions. Lead execution with a strong bias for act

Role Description Dropbox is seeking a Head of Scaled Sales to build and lead our sales-assisted growth motion from the ground up. This is a foundational leadership role for an entrepreneurial builder who is energized by creating a new motion from 0 to 100 and pairing product-led growth with the right sales touch to accelerate conversion, expansion, and efficiency. This leader will design the segmentation, coverage, and experimentation systems that determine when, where, and how sales engages self-serve customers, while partnering closely with marketing, data science, and sales analytics to turn signals into action. The right candidate will bring a strong operator mindset, deep fluency in PLG and hybrid GTM models, and a clear point of view on how to balance AI and human judgment to improve outcomes at scale. Responsibilities Build a self-serve segmentation model that identifies the right customers for the right sales motion, maximizing cost efficiency, conversion, and speed through the funnel. Design and implement a highly efficient coverage model that introduces sales engagement at the optimal point in the customer journey. Partner closely with data science and sales analytics to develop and operationalize a data-driven targeting strategy. Work cross-functionally with marketing to deliver targeted campaigns to the right customers at the right time with the right message, improving take rates and product expansion. Define how AI should be deployed across the scaled sales motion to improve productivity and business outcomes, while making sound decisions about where human engagement adds the most value. Build and run a strong experimentation framework that enables rapid testing, learning, and iteration across segmentation, outreach, coverage, and conversion strategies. Establish clear operating rhythms, performance metrics, and diagnostic frameworks to understand business drivers and inform resourcing and investment decisions. Lead execution with a strong bias for act

About the Role As a Director, Compute & Infrastructure FP&A, you will own and drive the monthly forecasting process for the Compute & Infrastructure org by partnering with various stakeholders across Finance, Accounting, Tax and Engineering. You will play a critical role in planning and forecasting the company’s largest and most complex cost center ( Compute & Infrastructure ). You will collaborate cross-functionally to develop long-range infrastructure investment plans, evaluate build vs. buy decisions, and ensure capital is deployed efficiently to support rapid growth. You will also provide strategic financial guidance through scenario modeling, ROI analysis, and performance tracking, enabling leadership to make high-stakes decisions under uncertainty. What You’ll Do Own compute financial planning & Forecasting. Build and manage consolidation models for GPU/CPU capacity, storage, networking, and data center investments. Translate infrastructure roadmaps into short- and long-term financial forecasts (LRP, annual planning) Coordinate closely with Corporate FP&A on timelines and process Present insights on a monthly basis to senior management. Drive infrastructure investment decisions. Evaluate build vs. buy, vendor vs. owned infrastructure, and capacity allocation tradeoffs. Develop frameworks for investment trade-offs to guide executive decision making. Build scalable tooling & reporting. Implement stakeholder-facing dashboards to track compute spend, utilization, and efficiency metrics. Improve visibility into unit economics (e.g., cost per training run, cost per inference, cost per customer). Drive forecasting accuracy & accountability. Lead budget vs. actual analysis for compute and infrastructure spend. Identify key cost drivers (utilization, pricing, efficiency gains) and reduce forecast variance. Support close & financial reporting. Partner with Accounting to ensure accurate classification of infrastructure spend (OpEx vs C

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative and analytical skills to drive forward a best in class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company’s vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry from our San Francisco headquarters. Lyft’s Verticals team owns three of the most strategically important and operationally complex marketplaces in our business: airports, scheduled rides, and events. These moments matter most. Airports are a defining touchpoint in the Lyft experience—high-stakes, high-complexity, and critical to both rider trust and driver earnings. Scheduled rides give riders confidence and control while providing drivers with greater predictability. Events—from packed stadium concerts to sold-out games—require precision logistics and seamless coordination at scale. Together, these verticals represent some of the highest-intent, highest-value use cases on the Lyft platform. As Group Product Manager for Verticals, you will define how millions of people plan, book, and experience their journeys across these critical moments. You’ll lead a high-performing team of PMs to build seamless booking flows, deeply personalized experiences, and robust integrations with travel and event partners—owning the end-to-end product across all three verticals. You’ll take on some of the most complex challenges in rideshare: optimizing rider-driver matching in dynamic, high-variability environments; advancing demand forecasting; improving real-time driver guidance; and designi

Our Enterprise Sales team works with a best-of-breed product that solves real problems for our customers. Sellers follow a well-defined methodology that helps them identify the customer's unique needs and clearly convey the value of the Datadog product. Whether you're looking to learn from the best or be the best, the Datadog sales team is dedicated to furthering personal development and team success. We are searching for an experienced Sales Executive that has a real passion for technology and can deliver on bold revenue targets. As we continue to enter into bigger markets, and formalize our support for the Public Sector enterprise segment, this division within Datadog will blaze the path for organizational growth. This is a lucrative opportunity to break into new Federal Government accounts within a rich territory, as well work with accounts who are in a hybrid state and transitioning to the cloud. What You’ll Do: Prospect into Federal Government organizations while running an efficient sales process Maintain, build and own specific relationship maps for your territory including existing relationships and aspirational contacts Develop a deep comprehension of customer's business Negotiate favorable pricing and business terms with FED enterprises by selling value and ROI Handle existing customer expectations while expanding reach and depth into assigned territory Demonstrate resourcefulness when faced with challenges that defy easy solution Have intuitive sense of necessary steps to close business and gain customer validation Identify robust set of value drivers behind all opportunities Ensure high forecasting accuracy and consistency Who You Are: Someone with 5+ years closing experience (mix of field selling within mid-market or enterprise) Driven and have met/exceeded direct sales goals of 800k+ and operated with an average deal size of $50k+ Able to demonstrate methodology to prospect and build pipeline on your own Experienced in working for an innova

Why This Role Exists Eulerity is an AI-native marketing automation platform — not a legacy tool with AI bolted on. We serve enterprise brands like Mastercard, UPS Store, Uber Eats, and European Wax Center, automating digital advertising across thousands of franchise locations. We've crossed $10M ARR, largely bootstrapped, and we're accelerating. Our iOS app is a critical surface for how clients interact with the platform — and we're looking for an intern who doesn't just write Swift, but builds with AI as their primary development tool. At Eulerity, AI-first development isn't a buzzword — it's how we actually ship code. Our engineers use Claude Code, agentic coding workflows, and prompt engineering as core parts of their daily process. We expect you to do the same. You'll be building features that real users depend on, not a sandbox project that lives in a repo no one checks. If you've shipped an app, already use AI coding tools to move faster than your peers, and know the difference between a good prompt and a great system — read on. The Fast Facts Compensation: $16-18/hour Location: NYC Midtown — 3 days/week in office Schedule: 30 hours/week AI Tools: Unlimited. Claude Code, Copilot, whatever makes you sharp — we don't gatekeep tools here. Start Date: As soon as possible Perks: In-office lunches and unlimited snacks What You'll Actually Do This isn't a "shadow a senior dev and update button colors" internship. You'll own real work that ships to real users. Take an active role in developing, testing, and maintaining our iOS app using AI-first development practices — Agentic coding tools are your daily drivers Implement new features end-to-end, from design through deployment, leveraging AI at every stage: architecture decisions, code generation, debugging, testing, and review Write effective prompts and system instructions as a core engineering skill Collaborate with engineers, UX designers, and product managers across all phases of the project lifecycle Contribute

MongoDB is seeking a Business Operations & Strategy Senior Analyst to join a small, high-impact team working on some of the company’s most important strategic and financial priorities. You will work directly with senior leaders across finance, product, and analytics, including regular exposure to C-suite on high-stakes questions that shape how MongoDB scales. The scope spans strategic planning, business case development for new products, and partnerships with AWS, Google Cloud, etc.. This role is ideal for someone with strong analytical horsepower, structured thinking, and executive presence who wants meaningful ownership and direct visibility into major business decisions. This role is a hybrid / in-office role, with approximately two to three days per week in our New York City Office. Responsibilities Own high-priority strategic and operational initiatives that shape MongoDB’s growth, efficiency, and long-term scale Develop executive-facing business cases and recommendations for key product and infrastructure decisions, including scenario analysis and trade-off evaluation Manage vendor relationships and contract negotiations with hyperscalers (AWS, Google Cloud, Microsoft Azure) Partner with Finance, Product, and other cross-functional teams to evaluate business performance, surface key drivers, and translate ambiguous questions into structured analyses Build and refine gross margin analyses and forecasting frameworks across MongoDB’s core and emerging businesses Requirements 2-5 years of experience in business strategy and operations, preferably at least 2 years as a management consultant or at a data-driven product/technology company Outstanding problem-solving skills and the ability to structure ambiguous business questions into clear analyses and actionable recommendations Strong executive communication skills, with the ability to distill complex findings into concise, compelling narratives Advanced Excel and PowerPoint skills (or Google Suite

Our Database Experience (DBX) Team A great MongoDB experience starts with great tools. The Database Experience team builds the libraries and tools that developers use day-to-day working with MongoDB. Our mission is to increase developer adoption, satisfaction and retention by providing a reliable, enjoyable interface for developers and other end-users. Our senior engineers are typically specialists in a particular programming language, but are capable of contributing to projects in other languages as well. For this role, we're looking for someone who will enjoy designing, writing, and supporting open source libraries for the Python ecosystem developers that use MongoDB. This is an opportunity to make a major impact at MongoDB as Python is one of the most popular runtimes for MongoDB users, and our driver has over 3 million daily pypi downloads. You might be right for this role if you... Have substantial experience writing high-quality software in Python Have extensive knowledge in Python tools and frameworks, scientific python and web development frameworks Have practical experience with AI/ML frameworks and technologies in Python, including large language models and agentic tools are a plus Have an interest in learning and staying up-to-date with Python ecosystem trends and best practices and incorporating them into your work Can make pragmatic design decisions, balancing tradeoffs such as usability, maintainability and delivery time Want to, or already do, participate in open source software development and communities, both online via e.g. GitHub and optionally through conferences and speaking engagements Communicate well, internally and externally, both verbally and in writing Enjoy collaborating with teammates, and mentoring junior engineers and interns Are self-motivated, organized, and have strong time management skills You'll be on the team responsible for... Developing and supporting the MongoDB Python drivers and subsidiary libraries ( PyMongo , Django Mon

Our Database Experience (DBX) Team A great MongoDB experience starts with great tools. The Database Experience team builds the libraries and tools that developers use day-to-day working with MongoDB. Our mission is to increase developer adoption, satisfaction and retention by providing a reliable, enjoyable interface for developers and other end-users. Our senior engineers are typically specialists in a particular programming language, but are capable of contributing to projects in other languages as well. For this role, we're looking for someone who will enjoy designing, writing, and supporting open source libraries for the Python ecosystem developers that use MongoDB. This is an opportunity to make a major impact at MongoDB as Python is one of the most popular runtimes for MongoDB users, and our driver has over 3 million daily pypi downloads. You might be right for this role if you... Have substantial experience writing high-quality software in Python Have extensive knowledge in Python tools and frameworks, scientific python and web development frameworks Have practical experience with AI/ML frameworks and technologies in Python, including large language models and agentic tools are a plus Have an interest in learning and staying up-to-date with Python ecosystem trends and best practices and incorporating them into your work Can make pragmatic design decisions, balancing tradeoffs such as usability, maintainability and delivery time Want to, or already do, participate in open source software development and communities, both online via e.g. GitHub and optionally through conferences and speaking engagements Communicate well, internally and externally, both verbally and in writing Enjoy collaborating with teammates, and mentoring junior engineers and interns Are self-motivated, organized, and have strong time management skills You'll be on the team responsible for... Developing and supporting the MongoDB Python drivers and subsidiary libraries ( PyMongo , Django Mon

About Hark Hark is an artificial intelligence laboratory, building the most advanced, personal intelligence in the world. We believe that artificial intelligence can be used to help offload our mental workload through thinking like us and sometimes ahead of us. Intelligence that is proactive and personalized through new models capable of interacting with the world through speech, text, vision and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. About the Role The Embedded Software team owns the software running on Hark’s next generation of AI hardware, and we are looking for an Embedded Software Engineer to build the system software at the heart of it. You will design, implement, and debug system-level components and services that span the kernel, user space, and the microcontroller domains, and you will work across RTOS, bare metal, and Linux environments on the same product. This is a systems software role. You will partner with the BSP, platform, UX, firmware, and hardware teams to make the device work as one product. Responsibilities Design, implement, and debug system-level components and services across kernel, user space, and MCU domains Develop system software on RTOS and bare metal environments as well as embedded Linux Build and maintain interfaces across the stack to deliver end to end features Run performance analysis and produce memory and power profiles, then close the gaps they expose Partner with the BSP, platform, and UX teams so system software, drivers, and user-facing behavior land together Debug across layer and process boundaries, from a user space service down to the hardware Requirements 5+ years of professional embedded software development experience

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role The Embedded Software team owns the software running on Hark’s next generation of AI hardware, and we are looking for an Embedded BSP Engineer to join the team. You will own critical pieces of the firmware across the stack that powers Hark's consumer products, from board bring-up, vendor code integrations, to custom peripheral drivers and integrations, FPGA-based system integrations, and system power and performance improvements. Responsibilities Develop and maintain embedded firmware in C/C++ targeting ARM-based SoCs and microcontrollers Own BSP development, board bring up, peripheral drivers (SPI, I2C, UART, I2S etc.), and system integration Working closely with vendors on system integration and validation Working with Hardware and Software team to ensure our hardware are built and functioning to the specifications Optimize power consumption and thermal performance for always-on, battery-powered operation Debug complex hardware-software interactions using logic analyzers, oscilloscopes, and JTAG Requirements 5+ years of professional firmware or embedded systems development Strong proficiency in C and/or C++ in resource-constrained environments Experience with ARM Cortex-M or Cortex-A processors Hands-on experience wi

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role The Operations Specialist, Logistics will play a key role in facilitating final-mile supply chain logistics at DoorDash Labs. You will be responsible for the handling, movement, and organization of materials, components, and finished goods within our autonomous robotics service environment. This will involve operating a box truck and/or sprinter van with a lift gate to move items ranging from fully assembled robots to individual parts and other equipment between sites. You will ensure all transport activities adhere to safety regulations and maintain the integrity of the materials during transit. You’re excited about this opportunity because you will… Perform material handling tasks, including loading and unloading a wide range of components and robotic systems. Safely and efficiently operate various material handling equipment, such as liftgates, forklifts, pallet jacks, and reach trucks. Load and unload materials from trucks, containers, and other transport vehicles, ensuring proper securing and documentation. Handle hazardous materials in accordance with established safety procedures and regulations. Adhere to all company policies, safety regulations, traffic laws, and relevant government regulations for drivers. Collaborate effectively with service operations, engineering, quality, and other teams to ensure seamless material flow. Proactively identify and suggest improvements to material handling processes and workflows. We’re excited about you because… High School Diploma or equivalent; Associate's degree or technical certification preferred. 3+ years of demonstrated experience as a driver operating Box Trucks / Sprinter Vans, serving as a material transporter or logistics