Partner Marketing Intern in San Francisco

About the Team The Finance & Strategy team accelerates the growth of our business by identifying and implementing new opportunities and solutions. We partner with teams across the company to improve the profitability, scalability and defensibility of our business model. We're looking for people who can use strategy to identify areas of opportunity, and collaborate to help carry projects from conception through execution. About the Role We are looking for someone who will help guide our global strategy. You will be a strategic advisor to important partners across DoorDash to ensure we are making the most efficient investment and capital allocation decisions across the geographies in which we operate while improving the experience for all of our marketplace participants. You will help lead financial reporting and planning, and will guide financial insights and direction for our operational decisions and strategies. This role reports to a Senior Director in our Finance & Strategy organization and is remote-friendly within the United States. You’re excited about this opportunity because you will… Partner with senior leadership to help guide and run our Digital Ordering business, implementing, measuring and optimizing the SaaS and transactional components of the business Own the global financial performance picture for this business line and understand the levers to optimize our approach to balancing global growth vs. profitability Track and analyze key business/financial KPIs, including SaaS specific metrics, uncover trends and assess current/future business risks and opportunities Support DoorDash’s quarterly financial planning, collaborate with cross functional business partners to identify growth areas and business priorities. Leverage and apply knowledge of SQL, finance, analytics, and AI technology to manage financial reporting, forecasting, and quantitative analysis to assist DoorDash in making better business decisions. Deep-dive into complex operat

A bout the Team Our sales and success teams are the heart and soul of DoorDash, helping us partner with top merchants (think restaurants, grocers, convenience stores, retailers) across the country to grow their revenue and help them operate even better. As DoorDash grows both in scale and scope of offering, the strength of our sales engine and organizational structure must grow with it. We are looking for a Manager level in Sales Strategy and Operations to 1. Develop strategic plans in retaining and growing partnerships at scale, 2. Leverage data tools (e.g. SQL) to help enhance sales productivity in targeting and closing the most valuable partnerships. You'll work among our sales, partner management, operations, product, and analytics teams to build the merchant foundation About the Role Within this job posting, we’re hiring for roles on the following team(s): Long-Tail: We are looking for a Sales Strategy Manager to build and execute the Long-Tail Emerging Bets strategy for our Global Sales Vendor organization. You will work closely with internal stakeholders (Sales, Sales S&O, Finance, and more!) to retain and grow Merchants at scale. You will report into the Manager of Revenue Strategy and Operations in our Merchant organization. You’re excited about this role because you’ll… Contribute to post-sales strategy for our top company priorities. This team sits at the nexus of both scaled initiatives and innovative bets at DoorDash focused on catapulting our restaurant partners’ growth. This role will help to develop a strategic vision for SMB Emerging Bets sales strategy, aligning it with DoorDash's overarching business goals. Drive operational excellence in reporting cadences, rigorous pipeline tracking, and sales productivity – leading end-to-end ideation to execution through data-driven insights. Partner with our cross-functional teams to expand and elevate our offering. To retain, optimize, and grow SMBs, this role

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. With Lyft Business, sales isn't a script you follow. It's a problem you solve in real time. As Business Associate for Lyft Business, you'll drive growth and expansion within your existing book of business in a market where transportation touches nearly every part of daily life. Success here isn't just about closing deals; it's about the judgment to identify where your time has the biggest return, and the strategic thinking to advise each client like a trusted partner as you grow their business with us. This job rewards people who think critically about where to focus their energy. Priorities will evolve, systems are still maturing, and you won't always have a playbook for every situation, but you'll have the experience and confidence to navigate ambiguity and make an impact as we figure it out. The people who thrive here are the ones who are resourceful, hard to rattle, and genuinely motivated by finding the right product fit for a client, especially when a conversation gets complex or unexpected. You'll focus on expanding and deepening relationships with small and mid-sized businesses, becoming a Lyft product expert who can efficiently resolve common support issues and guide clients through solutions that fit their needs. In this hybrid role, you will balance inbound and outbound outreach, but with a sharper eye toward prioritization: identifying key decision makers and influencers within your top accounts, and focusing your energy where it will drive the most growth. You're the hunter and the farmer, now with the experience to know which fields are worth tending. You'll be part of a driven, tight-knit sales team that's laser-focused on winning and growing business. We're looking for people who know how to apply critical thinking and strong judgment around ROI, work well with cross-functional partne

Industrial Designer San Francisco, CA - Hybrid At IDEO, we use design to create new products, services, experiences; tangible strategies; and creative capabilities. IDEO San Francisco is in search of a new Industrial Designer to partner with interdisciplinary teams designing innovative and human-centered physical products and services. This role will own a hands-on workstream emphasizing creative problem solving, core industrial design skills, rapid prototyping and advanced visual storytelling. The ideal hire will champion hands-on making & prototyping, and collaborate fluidly with a wide variety of design professionals from communications design to UX researchers (and everything in between).This hire will have the unique opportunity to design cutting edge products, and grow as a Design Thinking practitioner within IDEO’s diverse network of Design Directors, Partners and Business Leaders. At IDEO, an Industrial Designer is responsible for independently executing components of highly complex client projects, showcasing advanced skills in user-centered physical product design . You will integrate form and function, while balancing user needs and technical considerations to create solutions that resonate with users and businesses alike. What makes a career at IDEO unique is our radical empathy and compassion for the user, always leading with creative confidence and collaborative rigor. You will work with world-class researchers, business designers, data scientists, and others disciplines outside of design, to push the edges of your craft, creating solutions that are as inclusive as they are transformative. We are especially excited to meet candidates with exceptional visual storytelling abilities, a drive to “get out from behind the screen” by prototyping in both digital and physical realms, and a grounding in design for manufacturing (DFM). This hire must be within a commutable distance of IDEO’s San Francisco studio. IDEO proudly supports flexible work. Onc

About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. What You’ll Do Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features Tackle novel UX problems at the intersection of AI, BI, and apps What You Bring Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required) 10+ years of experience building and deploying production-grade AI/ML systems Deep knowledge of machine learning, deep learning, and applied AI Experience across the full ML lifecycle: data curation, training, deployment, monitoring A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex Experience adapting or training foundation models (language or multimodal) for novel domains Bonus Points (or skills you’ll build here) You've built agents that can plan, reason, and use tools You know your way around cloud infrastructure (AWS, GCP, Azure) You’ve worked in a fast-moving startup or high-growth environment Additional Job details The base salary range for this posit

As Sigma scales its global footprint, the Sales Engineering (SE) organization is the technical engine driving our GTM motion. We are looking for a Strategy and Operations Lead, SE to partner directly with our VP of SE and serve as the operational bedrock for this critical organization. Operating within our broader GTM Strategy & Operations team, you will own the global operating rhythm, operational infrastructure, and capacity planning for the entire SE organization. You will drive strategy across a highly matrixed, global environment. You are part strategist, part builder, and part operator - responsible for ensuring our pre-sales motion scales seamlessly. What You Will Do Drive Business Reporting & the SE Operating Rhythm: Own the cadence of the SE organization. Design and execute regular business reviews and leverage Sigma to build robust, real-time reporting that gives the VP of SE crystal-clear visibility into technical pipeline health, team utilization, and conversion metrics. Optimize Funnel Mechanics & Deal Acceleration: Deep dive into the pre-sales funnel to identify where deals stall during technical validation. Partner with SE leadership to optimize the Proof of Concept (POC) lifecycle, remove friction, and accelerate the technical win. Lead Global Headcount & Capacity Planning: Serve as the SE representative in cross-functional GTM planning cycles. Own end-to-end global SE capacity requirements, design territory allocation frameworks, and manage annual headcount planning seamlessly across AMER, EMEA, and APAC. Build Solutions in Sigma: Leverage Sigma itself to build robust operational solutions, designing the dashboards, data models, and workflows needed for POC tracking, capacity management, and performance visibility. Act as the Cross-Functional Hub: Represent the SE organization in all major GTM Strategy & Operations initiatives. Serve as the connective tissue between SE, Sales, Product, and RevOps, ensuring SE requir

About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. What You’ll Do Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features Tackle novel UX problems at the intersection of AI, BI, and apps What You Bring Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required) 10+ years of experience building and deploying production-grade AI/ML systems Deep knowledge of machine learning, deep learning, and applied AI Experience across the full ML lifecycle: data curation, training, deployment, monitoring A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex Experience adapting or training foundation models (language or multimodal) for novel domains Bonus Points (or skills you’ll build here) You've built agents that can plan, reason, and use tools You know your way around cloud infrastructure (AWS, GCP, Azure) You’ve worked in a fast-moving startup or high-growth environment Additional Job details The base salary range for this posit

About the role: Are you a relationship builder? Are you curious to learn about customers and passionate about giving them the best customer experience? Are you a self starter and thrive in a dynamic and fast-paced environment where you can make a difference in creating playbooks and processes? We’re looking for a Renewals Manager to be the post-sales quarterback for our corporate customers. In this role, you will be responsible for renewing and generating expansion opportunities. You will work with your Sigma colleagues to maximize customer value and to grow their business. Responsibilities: Develop professional and personal relationships with key stakeholders within each customer account Partner with Customer Success to minimize attrition, identify growth opportunities, drive adoption and increase usage Work with customers to create a strategy for achieving goals and assist Customer Success with removing barriers to business growth Collaborate closely with internal stakeholders such as Product, Engineering, and Alliances. Be able to communicate feedback and insights to the business. to improve product and customer experience Serve as an advocate for our customers and set appropriate expectations Leverage data to effectively guide meaningful customer conversations Facilitate business reviews to accomplish goals and opportunities Help identify opportunities for improvement in existing processes Required Skills / Experience: 2+ years working in Renewals / Customer Success role Ability to react and adapt to potential rapid shifts in priorities and organizational policies Strong negotiation and objection handling skills that allow for value-based contract negotiations Strong process management and detail oriented skills Strong customer management skills, including soft skills Additional Job details The base salary range for this position is $100k - 120k annually. Compensation may vary outside of this range depending on a number of factors, incl

Summary We are looking for a detail-oriented and dedicated Administrative Assistant to provide support to our Portfolio Managers and Analysts within our Point72 office in San Francisco, CA. What you’ll do The Administrative Assistant will provide administrative support to one or several investment teams including Portfolio Managers and Research Analysts. Specifically, you will: Strategically partner with investment team(s) to help alleviate workload and create efficiencies Manage calendars and conference calls, make appointments, book conference rooms, organize meetings Coordinate domestic and international travel arrangements Create and process expense reports Manage phone coverage for team and set up conference calls as needed Develop and maintain strong working relationships with internal and external partners Work on special projects as needed What’s required 2+ years of relevant work experience Bachelor’s degree from an accredited university Capacity to multitask, effectively prioritize and adapt to an ever-changing work environment Bring a “roll up your sleeves and get the work done” mentality and a sense of urgency and attention to detail to requests and projects Excellent communication and ability to interact with people of all levels in a confident and professional manner Strong attention to detail; can keep track of multiple projects and work through abstract issues in an organized and efficient manner Proficient knowledge of Microsoft Outlook, Excel, and Word Strong industry knowledge preferred Commitment to the highest ethical standards We take care of our people We invest in our people, their careers, their health, and their well-being. When you work here, we provide: Fully-paid health care benefits Generous parental and family leave policies Volunteer Opportunities Support for employee-led affinity groups representing women, people of color and the LGBTQ+ community Mental and physical wellness programs Tuition assistance A 401(k) savings program with a

About Scale Scale’s mission is to develop reliable AI systems for the world’s most important decisions. As the leading AI data foundry, we provide the high-quality data and full-stack technologies that power the world’s most advanced models — fueling breakthroughs in generative AI, defense, and autonomous vehicles. We partner with leading enterprises and governments to bring AI into production that performs when it matters most, combining rigorous evaluation with full-stack deployment so our customers can build AI they can trust. About the Team Applied Intelligence Systems (AIS) is part of the Scale Generative AI Platform (SGP), focused on pushing the frontier of what agentic applications can do across diverse enterprise and government use cases. We build the infrastructure and tooling that power agentic AI in production, paired with applied ML research, design, and evaluation to ensure these systems perform reliably at the scale our customers demand. AIS spans multiple workstreams — agent evaluation and oversight, orchestration and tool-use infrastructure, model and systems optimization, and applied research on new agent capabilities — and this role is not scoped to any single one of them. We’re growing fast, with increasing traction across both commercial and public sector customers, and we’re just getting started — this team will define what dependable, production-grade agentic AI looks like. About the Role As a Staff Machine Learning Research Engineer, you will operate across the full breadth of AIS’s technical needs — wherever the hardest ML problem in agentic AI happens to be that quarter. This could mean training and fine-tuning models, designing evaluation and observability systems, building improvement loops from production data, prototyping novel agent architectures, or designing internal systems and tooling that boost productivity across teams. You’re not tied to one team’s roadmap; you’re expected to move to where the technical leverage is highest, and t

Scale’s Generative AI business unit is currently seeing historic levels of growth. As a Strategic Projects Lead (SPL), you will leading initiatives that will drive $XXM+ in new revenue for the business. This is a demanding role, and as an SPL, you should be prepared to wear many hats such as Operator, Product Manager and customer-facing Engagement Manager. The ideal SPL should have a strong entrepreneurial mindset, be comfortable getting into the weeds, and be excited about intense, impactful work that leads to an accelerated career progression. You will: Lead cross-functional projects with diverse stakeholders (Engineering + Ops + Go-to-Market) Partner with product and engineering teams to enhance products to fulfill needs of strategic customers and initiatives Own the execution of our data labeling operations for strategic projects Give regular progress updates to Scale’s executive team Work on some of the most impactful problems at the company Ideally, you’d have: Strong technical background (a degree in computer science is ideal, and at minimum the role requires the ability to do data analytics using SQL or Python). 2+ years of experience leading a team, developing product or operational processes, or as a SWE. Strong problem solving capabilities (experience working on operational challenges or as a consultant is a plus). Entrepreneurial experience and mindset - you are excited about building things from scratch Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted e

Scale works with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities. In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models. You will: Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities. Design and experiment new approaches to preference optimization. Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness. Publish research findings in top-tier AI conferences. Ideally you’d have: Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field. Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning. Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning. Excellent written and verbal communication skills Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals Previous experience in a customer facing role. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined du

Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling) and evaluation. This role is on the evaluation pod within the GenAI Research Organization and will focus on building benchmarks and diagnosing model failure modes in both text and multimodal modalities. In this role, you will develop rigorous evaluations and diagnostic methods that reveal where frontier models fail and why. You will collaborate with researchers and engineers to define best practices in evaluation-driven AI development. You will also partner with top foundation model labs to translate failure analysis into technical and strategic input on the next generation of generative AI models. You will: Analyze model behavior to identify, characterize, and diagnose failure modes in frontier LLMs and Agents. You’ll identify everything from capability gaps and reasoning errors to robustness and alignment issues, all focusing on RCA. Design and build benchmarks and evaluation methods that measure LLM capabilities in both text and multimodal modalities. Apply post-training expertise (SFT, RLHF, reward modeling) to connect observed failures to the data and training interventions that address them. Publish research findings in top-tier AI conferences. Ideally you’d have: Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field. Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning. Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning, and with LLM evaluation or benchmark development. Excellent written and verbal communication skills. Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals. Previous experience in a customer facing r

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 want to work on commercializing autonomy and robotics in a service used by millions of people — and on bringing the merchant partners who power that service along with us — then we want to talk to you! About the Role Come help us redefine last-mile logistics through robotics, automation, and other advanced technologies. Autonomy only works when merchants — restaurants, retailers, and other partners — can reliably interact with our robots: handing off orders, troubleshooting edge cases, and trusting the experience enough to keep using it. This role owns that side of the equation. We're looking for a Merchant Success & Growth lead to build the strategy and operational mechanisms that get merchants onboard, keep them performing, and turn their day-to-day reality into a tight feedback loop for product and engineering. You're excited about this opportunity because you will… Own merchant adoption and performance KPIs for autonomy end-to-end — defining what "successful merchant interaction with a robot" means, instrumenting it, and driving improvement against it. Build the playbooks and operational mechanisms to onboard merchants to autonomy — from first conversation through training, go-live, and steady-state ops — and scale them across markets. Partner with sales, account management, and field ops to recruit and ramp the right merchant cohorts for each stage of the product, and design experiments that test new merchant-facing features and handoff models. Define merchant performance benchmarks (handoff success rate, dwell time, dasher/robot interaction quality, merchant CSAT) and run the cadence that holds partners and internal teams accountable to them. Stand up the feedback loop from the field back to product and engineering — turning merchant complaints, edge cases, and frontline observations into prioriti

About the Team Our team exists to empower DoorDash Mobile engineers. We are the champions of three core pillars: Quality, Velocity, and Efficiency. Ultimately, our goal is to build the supportive infrastructure that allows our fellow engineers to build, ship, and operate apps at massive scale—with confidence and ease. We believe that a great developer experience leads to a great customer experience. About the Role We are looking for an Engineering Manager to lead our Mobile Developer Experience team (also known internally as the Mobile Foundations team). In this role, you’ll not only set the technical vision but also nurture the culture required to build world-class mobile applications. Your team will concentrate on one vertical—ZeroKit, which enables rapid mobile prototyping via agents—and two horizontal infrastructure pillars: the iOS and Android monorepos. You will partner with senior engineers and stakeholders across the company to design systems that make our platform faster, more reliable, and more efficient. You will be a partner to your customers—your fellow engineers—working side-by-side to understand their hurdles and solve their immediate challenges. You’ll also look to the future, anticipating needs so we can deliver solutions before they become blockers. Crucially, this role will support our growing international engineering footprint and unified technology stack, meaning you and your team will work across our DoorDash, Wolt, and Deliveroo brands. This is a unique opportunity to lead a team through a mix of exciting greenfield initiatives and the refinement of established, successful tools. You must be located in the following locations for this opportunity: San Francisco, CA; Sunnyvale, CA; Seattle, WA; Los Angeles, CA; New York, New York. You’re excited about this opportunity because you will… Develop and maintain foundational components to enable DoorDash Engineers to excel at mobile engineering. Lead the development and strategy for ZeroKit to enabl