Help Desk Support Specialist in San Francisco

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. The New York Times is looking for a talented, experienced and versatile correspondent to join the tech pod on the Business desk to cover OpenAI and Anthropic as the artificial intelligence race heats up. At the core of the beat are two companies that are writing people’s futures with their fast-advancing technology and becoming the new power brokers in Silicon Valley, dealmaking, geopolitics, national security, economics and Wall Street. We are looking for an energetic, determined and collegial journalist who thrives when competing on the most compelling and important storylines. Proven success in building and cultivating sources and experience reporting on companies are prerequisites. You will work closely with other tech reporters in the United States and around the world. This is a high metabolism job, with breaking news, second-day stories, analysis, explainers, profiles, accountability stories and enterprise. You will collaborate across multiple desks and teams including finance, Audio, Video and Graphics. You will write articles, short Live updates, contribute to newsletters and videos and participate in collaborative reporting projects. This is an in-office position, based in San Francisco and includes regular attendance in the office four days each week. There may be some flexibility to work remotely per your departmental guidance. Responsibilities : You will generate original reporting on news, events and trends on Anthropic a

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. The New York Times is looking for a talented, experienced and versatile correspondent to join the tech pod on the Business desk to cover Anthropic as the artificial intelligence race heats up. Anthropic has grown quickly and changed coding, security and other areas with its technology, becoming a new power broker as it heads toward a public offering, and tangling in geopolitics, national security, economics and religion. We are looking for an energetic, determined and collegial journalist who thrives when competing on the most compelling and important storylines. Proven success in building and cultivating sources and experience reporting on companies are prerequisites. You will work closely with other tech reporters in the United States and around the world. This is a high metabolism job, with breaking news, second-day stories, analysis, explainers, profiles, accountability stories and enterprise. You will collaborate across multiple desks and teams including finance, Audio, Video and Graphics. You will write articles, short Live updates, contribute to newsletters and videos and participate in collaborative reporting projects. This is an in-office position, based in San Francisco and includes regular attendance in the office four days each week. There may be some flexibility to work remotely per your departmental guidance. This role is represented by the NewsGuild of NY. Responsibilities: You will generate original reporting on

About The Team: To help achieve our mission, we are looking for a Recruiting Coordinator to join our team. AI is rapidly changing the world, and Scale is growing to meet that rapid demand. Recruiting Coordinators who join today will help schedule and coordinate interviews, provide exceptional candidate experience, and help develop strategies that will scale alongside the new challenges we’re facing. Many of our greatest challenges are yet to be solved, and we're looking to hire a Recruiting Coordinator who is excited to tackle them. About the Role: We are looking for a talented Recruiting Coordinator on a 6 Month Contract (with possibility of extension or conversion given further business need). This is a hybrid role (3 days per week in office) based in our San Francisco or New York City office to join our team and participate in the hiring process from beginning to end. You’ll be directly working with our hiring partners, recruiters and candidates to create a personal and creative recruiting experience! You will: Schedule, coordinate, and confirm candidate interviews, handling cancellations and reschedules promptly across multiple time zones Collaborate and communicate effectively with recruiters, hiring managers, and business leaders to ensure smooth interview processes Create a welcoming and high-touch candidate experience for both virtual and in-person interviews Support Recruiting Operations on initiatives related to improving coordination workflows, candidate experience and interviewer experience Ideally you have: 1-2 years of relevant experience; scheduling high volume (100+ interview events a week) and tech industry experience are a plus Familiarity with Greenhouse, ModernLoop, or similar ATS/scheduling tools A highly organized and process-driven approach to work, ensuring SLAs are met and work is completed efficiently and accurately A curious and proactive mindset, leveraging AI tools and technology to identify opportunities for process improve

About the Team Come help us build and develop tools serving hundreds of engineers internally! We’re looking for a Fullstack Software Engineer to join our Developer Insights team. About the Role Our mission is to improve the developer experience of engineers at DoorDash by building various internal products, including our internal developer portal, Developer Insights. Our success as a platform team depends on the success of the product teams we serve. Because of this, we invest in building a strong community that encourages participation and promotes best practices. You’re excited about this opportunity because you will… Introduce cutting edge technologies to our engineering organization, including tools built on LLMs Build new features for Developer Insights (using Backstage.io) Improve the developer experience for all of our engineers Work and collaborate across team boundaries. Contribute features and bug fixes to upstream open-source projects. Mentor and educate your peers. Lead the team in a technical fashion and assist in roadmap planning and measurement of existing features. Represent the team at large in OKR and engineering all-hands presentations. Context switch from frontend to backend to data depending on the need that arises. We’re excited about you because… You have at least 2 years of experience in web technologies using Typescript with React on the frontend with Java, Kotlin, Python or Go backend experience. You have a product mindset and apply that to how you would build out platform services. You love systems and software, and you're proficient in both. You’re curious and dive deep into different system architectures. You are an organized and excellent written and verbal communicator. You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Compensation The successful candidate’s starti

About the Team We help Merchants access the financial products they need to grow and operate their businesses. DoorDash Capital is one of the company's fastest-growing bets, and our team owns the full growth engine from identifying unmet Merchant needs to launching products and scaling them. We obsess over how to deliver more value to Merchants through our platform and our financing partnerships, and we measure ourselves on adoption, revenue, and Merchant outcomes. About the Role You will report to the Director, S&O New Business on our DoorDash Capital team and own the growth of one of our newest bets with a key partner in the financing space. This is a 0-to-1 growth role: you'll take an early product and scale it to maturity by driving adoption, conversion, and revenue. You will have support from product, engineering, sales, and marketing. The ideal candidate is energized by finding growth levers, moving fast, running experiments, and learning from data in a high-velocity environment. You’re excited about this opportunity because you will… Strategize – Understand the needs of our Merchants, prioritize those needs by impact, and create solutions with cross-functional partners Build – Drive the implementation of new product features and processes for managing Merchant financial products Construct - Navigate in an ambiguous environment and bring structure to undefined opportunities. There won’t be playbooks or templates, instead you will create them. Analyze – Leverage data whenever possible to inform your hypothesis and convince cross functional partners. Influence – Work cross-functionally with our Product, Engineering, Sales, Marketing, Finance, and Business Development teams to align on a path forward and bring these products to market We’re excited about you because… You have 4+ years of experience in strategy & operations / product management / investment banking / management consulting / mergers & acquisitions or relate

We are building the Finance team to help make data-driven and financially sound decisions for Scale. The team is responsible for improving strategic, financial, and operational decisions by partnering with the leadership team in making critical decisions across Scale. The Corporate Finance team is responsible for owning the company’s budget, helping to drive monthly forecasts and annual planning processes, allocating and deploying the company’s resources efficiently, and performing financial analyses in partnership with all departments. As AI reshapes the competitive landscape, Corporate Finance sits at the center of decisions about where Scale invests, how quickly we scale, and which bets we make. You will have a unique opportunity to work closely with department heads on real-time, high-priority business issues and use quantitative insights to drive better decision making across Scale. The ideal candidate will not only have the technical skills to support their recommendations but also strong interpersonal skills to manage various stakeholders. What You’ll Do Provide analysis to support short and long-term decisions regarding workforce planning across the company. Own tools (such as the company's workforce planning system, TeamOhana) to automate and streamline reporting and headcount processes Partner cross-functionally with HR, Recruiting, Compensation, and Analytics teams to drive scalable analyses and insights. Define and maintain KPIs to measure impact on strategic initiatives and resource allocation. Manage the development, implementation, and administration of our financial forecasting system (Pigment) Partner with finance and accounting to drive process improvements (e.g. month-end close and reporting) Implement enhancements to forecasting tools, processes, and reporting deliverables that reduce manual work and improve data integration Support management, Board business, and financial planning, including presentations and key analysis requests Help execute

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

About the Team The Outside Account Management team at DoorDash partners with restaurant merchants to help them grow simply and profitable on the platform. Our mission is to support merchants throughout their journey – ensuring a positive experience while also helping them unlock meaningful growth opportunities. We work closely with merchants to understand their goals, solve operational challenges, and recommend growth strategies that fit their business – balancing thoughtful partnership with commercial impact. About the Role As a Strategic Partner Manager II (SPM) , you will own and grow relationships with a portfolio of SMB restaurant partners, operating with a high degree of autonomy and strategic judgment. You’ll lead complex, high-impact partnerships focused on driving long-term growth, profitability, and retention for merchants on the DoorDash platform. In this role, you’ll move beyond day-to-day account management to guide more strategic merchant conversations—helping partners think holistically about growth, operations, and how to scale their business with DoorDash. You’ll proactively adapt account plans as opportunities and challenges emerge, identify and address risks early, and consistently drive measurable outcomes across your book of business. Beyond your own accounts, you’ll play an influential role across the team — serving as a voice of the merchant internally, shaping cross-functional initiatives, and sharing best practices that elevate how DoorDash partners with restaurants at scale. You’ll report to a regional manager within Outside Account Management. We expect this role to be flexible, with time split between traveling to merchants and additional flexibility to work remotely from home or a DoorDash office. You’re excited about this opportunity because you will… Own and grow strategic partnerships: Manage a portfolio of SMB restaurant partners, consistently driving measurable growth, retention, and satisfaction Lead advanced merchant s

About the Team We’re looking for a Senior University Recruiter to help us identify and attract top-tier early career talent to join our Engineering and Design teams. For the first time, our global organizations of DoorDash, Wolt, and Deliveroo will be joining forces for one unified, global internship program and you would be on the forefront of building what this strategy looks like for a global team. From building relationships with universities to advising on the interview processes, being a part of headcount conversations to planning events and running performance review cycles, you will help build the foundations of this program making it something that can scale and grow each year. About the Role Your impact will go beyond filling roles; you’ll shape how we approach hiring from how we define what ‘great’ looks like in an engineer. You’ll play a key role in how we build diverse talent pipelines and create a seamless experience for every candidate and intern throughout the program. You’ll be the bridge between us and top university talent, helping DoorDash continue to invest in, build, and grow the next generation. This role sits within our Engineering Recruiting team and reports into the Recruiting Manager for Global University Recruiting. It will be based in San Francisco, CA. You’re Excited About This Opportunity Because You Will… Manage full-cycle recruitment for all technical intern and new grad hiring roles across the US Identify, engage, and maintain relationships with high-potential candidates, partnership organizations, and universities Build diverse talent pipelines, and run smooth, efficient processes from first conversation to final offer Embed DE&I principles into every stage of the process from diversifying sourcing channels to reducing bias in assessment and ensuring diversity in interview panels. Build and streamline interview processes and workflows ensuring we’re iterating and adjusting as we scale and grow Train interviewers and coach

Overview Scale’s Finance Systems and Automation team is looking for a builder-oriented team member to help design and develop integrations, automations, and AI agents that streamline workflows across Finance, Accounting, People, and Recruiting. In this role, you will work closely with stakeholders across Finance, Accounting, People Operations, and Recruiting to understand their workflows and build integrations, automations, and agentic workflows that reduce manual effort and accelerate execution across these teams. You will leverage our internal data infrastructure, system integration tooling, and emerging AI platforms to architect scalable solutions — from traditional system integrations to intelligent agent-driven workflows — that serve as the foundation for long-term operational efficiency. We’re looking for someone who thrives on connecting systems, automating repetitive processes, and pushing toward more autonomous, AI-assisted operations. You should be comfortable navigating ambiguity, designing solutions that scale, and rigorously validating outcomes end to end. What You’ll Do Design and build agent-driven workflows and automation systems across People Operations, Recruiting, Finance, and Accounting Identify opportunities to replace manual or rules-based processes with agentic workflows Partner with stakeholders to translate business processes into scalable, automated solutions Lead the implementation of end-to-end workflows, from requirements through deployment and validation Automate candidate-to-employee transitions (e.g., Greenhouse → HRIS → provisioning systems) Build workflows to manage employee lifecycle events such as onboarding, transfers, and offboarding Automate approval flows and data synchronization across People, Finance, and Recruiting systems Support accounting and finance workflows through scalable integrations and automation Design and implement the underlying integrations and data flows that enable reliable automation and agent behavior Est

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. Flexdrive, Lyft's wholly-owned fleet management subsidiary, is undergoing a transformational shift from traditional rideshare fleet operations to autonomous vehicle fleet ownership and operations. We are seeking an AV Program Manager to help drive the cross-functional operating plan that will prepare Flexdrive to receive, staff, and operate AV fleets at scale domestically and abroad. This role supports the operational backbone of Flexdrive's AV readiness initiative. You will maintain the program timeline, coordinate cross-functional workstreams spanning infrastructure, people, fleet operations, treasury, legal, and finance, and help ensure that requirements are tracked, dependencies are surfaced, and deployment milestones are met. You will work closely with workstream leads across Operations, Strategy, Infrastructure, Finance, Legal, Analytics, and People. If you thrive in ambiguity, can bring structure to complex multi-workstream programs, and have a bias toward action, this role is for you. Responsibilities: 1. Program Planning & Execution Maintain the program timeline for Flexdrive AV Operating Readiness, tracking deliverables and dependencies across workstreams: Strategic Planning, Infrastructure, Analytics, People, Fleet Operations, Treasury, Finance, and Legal. Maintain the program's RAID log (Risks, Assumptions, Issues, Dependencies), surfacing cross-functional blockers with clear context for escalation. Support weekly leadership syncs and monthly deep-dive reviews, including preparation, presentation and follow-through. Translate upstream decisions (partner agreements, market selections, ) into operational requirements, updating the readiness roadmap accordingly. 2. Cross-Functional Coordination Serve as a connection point between workstream leads, helping ensure infrastructure time

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! In September 2026 we raised a $350 million Series E at a $3.5 billion valuation , and we are scaling our engineering and research teams to meet demand. The role Frontier AI data is expensive to make and hard to measure. Every task we deliver is tested against the strongest models, often through many long-running agent rollouts. Your job is to make that process faster, cheaper, and more rigorous with ML and AI You will be one of the early members of ML & Research Engineering at Snorkel. You will study how frontier-grade data is generated and evaluated, form hypotheses, validate them against real production data, and ship the winners at scale. You will shape the discipline's direction, its standards, and the team that grows around it. What you'll work on Efficient agentic evals. Cut the cost of long-horizon agent evaluation with adaptive sampling, statistically grounded early stopping, model cascades, caching, and cheap-first gating. AI model routing. Route every eval and judge call to the cheapest model that clears the quality bar, with fallback, monitoring, and cost attribution. Fine-tuned small models. Fine-tune and serve open-weight models (LoRA and other

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! We’re looking for a Research Scientist to advance how high-quality data and environments for AI agents are created. You’ll build and optimize pipelines that combine real-world data, automated generation, and human expert input. Working with domain experts, academic partners, customers, and our product and engineering teams, you’ll scale these pipelines to target frontier model performance gaps and expand data and environment diversity. Your work will amplify human knowledge and judgement, enabling experts to create and refine data and agentic environments that strengthens Snorkel’s position as the frontier data lab. This role is ideal for someone who wants to advance frontier AI through data and environment creation and enjoys turning research into reusable, scalable systems. Location: San Francisco, New York, OR REMOTE Main Responsibilities Design, implement, and optimize reusable pipelines that combine AI capabilities with expert judgment to accelerate data and agentic environment creation. Design and run rigorous experiments to validate proof-of-concept approaches, measure their impact on data quality, pipeline efficiency, and model performance, and communic

About the Team DoorDash is building the world’s most reliable on-demand logistics engine for delivery! We’re looking for machine learning engineer interns to join our fast-growing engineering team to help us develop a 24x7 global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers. About the Role As a Machine Learning Engineer intern at Doordash, you’ll work on tackling new challenges in machine learning and artificial intelligence. You’ll conduct research that can be applied across Doordash engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: Auction, Game theory, Recommender systems, Ranking, AdTech, Computer Vision, Causal Inference, and Big data analytics. We offer a 12-week summer internship program in our San Francisco, Sunnyvale, New York, or Seattle offices. You’re excited about this opportunity because you will… Use cutting-edge research in ML/AI, NLP, RecSys, Ranking, Computer Vision, Causal Inference, Ad Tech, Graph analysis to solve real-world problems across discovery, ads,forecasting, fulfillment and search experiences at Doordash. Contribute and execute on research ideas that can be applied and used to improve product experience at Doordash. Collect, analyze, and synthesize findings from data and use these insights to build relevant ML models. Write clean, efficient, and sustainable code We’re excited about you because you… Are working towards a Masters degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field and are graduating between Fall 2027 & Summer 2028 Have a mastery of at least one systems languages (Java, C++, Python, Kotlin, GoLang) or one ML framework (Tensorflow, Pytorch, MLFlow) Have experience in research and in solving analytical problems Are a strong communicator and team player. Have a passion for applied ML and the Doordash product Ideally have

About the Team DoorDash is building the world’s most reliable on-demand logistics engine for delivery! We’re looking for machine learning engineer interns to join our fast-growing engineering team to help us develop a 24x7 global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers. About the Role As a Machine Learning Engineer intern at Doordash, you’ll work on tackling new challenges in machine learning and artificial intelligence. You’ll conduct research that can be applied across Doordash engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: Auction, Game theory, Recommender systems, Ranking, AdTech, Computer Vision, Causal Inference, and Big data analytics. We offer a 12-week summer internship program in our San Francisco, Sunnyvale, New York, or Seattle offices. You’re excited about this opportunity because you will… Use cutting-edge research in ML/AI, NLP, RecSys, Ranking, Computer Vision, Causal Inference, Ad Tech, Graph analysis to solve real-world problems across discovery, ads,forecasting, fulfillment and search experiences at Doordash. Contribute and execute on research ideas that can be applied and used to improve product experience at Doordash. Collect, analyze, and synthesize findings from data and use these insights to build relevant ML models. Write clean, efficient, and sustainable code We’re excited about you because you… Are working towards a PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field and are graduating between Fall 2027 & Summer 2028 Have a mastery of at least one systems languages (Java, C++, Python, Kotlin, GoLang) or one ML framework (Tensorflow, Pytorch, MLFlow) Have experience in research and in solving analytical problems Are a strong communicator and team player. Have a passion for applied ML and the Doordash product Ideally have work