Structural Analysis Engineer in San Francisco

Owns day-to-day deal pricing execution for Enterprise, including pricing calculations, staffing inputs, and dashboard reporting that gives Sales and Deal Desk leadership visibility into deal status, pricing, and margin. Partners with the Deal Desk Manager on customer deal structuring and on identifying ways to accelerate the deal approval process. What You’ll Do Deal Pricing Execution Manages day-to-day deal pricing calculations for Enterprise deals, including ROI modeling and EPD staffing inputs Applies existing pricing frameworks consistently across Land, Expansion, and Framework deals Partners with the Deal Desk Manager to design customer-specific deal structures for non-standard or complex deals Pricing & Deal Status Reporting Builds and maintains a pricing dashboard tracking deal status, pricing, margin, and overall deal health across the Enterprise pipeline Updates pricing and trend reporting to keep leadership current on where deals stand and how pricing is trending against targets Process Optimization Identifies bottlenecks in the deal review & approval process and proposes ways to accelerate cycle time Helps standardize and streamline recurring pricing/approval steps into repeatable, lower-friction workflows Tracks deal approval cycle time and surfaces trends to inform process improvements Cross-Functional Deal Coordination Owns deal crafting end-to-end from initial pricing/modeling through contract review, coordinating with sales management, reps, and internal stakeholders Ensures the relevant stakeholders (Accounting, Finance, EPD, Legal) review and approve deals at the appropriate stage before they progress Routes deal packages to the correct reviewers and tracks open items so deals aren't stalled waiting on sign-off Strategic & GTM Support Tackles ambiguous, open-ended questions around Scale's go-to-market motion and iterates quickly on solutions that deliver measurable results Supports Sales and Finance leadership in quarterly strategy and

Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world’s most important decisions. We’re looking for an AI Product Manager to own the Finance vertical within our Agents Data & Reinforcement Learning Environments team. In this role, you’ll own both the development of RL environments (the realistic, high-fidelity simulations of financial software and workflows that labs use to train and evaluate agents) and the “data as a product” strategy that powers them. You’ll understand where AI is being used in the Finance industry, decide what financial tasks are worth modeling, how to source and structure the underlying data, and how to turn deep domain knowledge into a defensible product. The ideal candidate has lived inside the Finance industry, and is able to pair that domain understanding with a sense for AI research and current agent capabilities in Finance workflows. You’ll translate that expertise into environments and datasets that teach AI agents to perform real financial work, and you’ll be the domain expert Scale’s most important customers and their leading researchers turn to. A strong entrepreneurial & go-to-market mindset will be necessary. What You’ll Do Own the Finance AI roadmap & data strategy: Set product direction for the Finance agents training stack and the data strategy behind it. Establish a vision for where AI is continuing to transform the Finance industry (including investment banking, private equity, public markets, corporate finance, FP&A, etc), driving execution across engineering, operations, and go-to-market teams. Build partnerships with research teams at frontier labs: Work directly with researchers at leading AI labs to understand where their Finance agentic capabilities fall short and shape new product lines and competit

About the Team Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Softare Engineer II to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs. You're excited about this opportunity because you will… Work with business partners and stakeholders to understand data requirements Work with engineering, product teams and 3rd parties to collect required data Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes Manage a portfolio of data products that deliver high-quality, trustworthy data Help onboard and support other engineers as they join the team We're excited about you because… 3+ years of professional experience working in data engineering, business intelligence, or a similar role 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 Proficiency in programming languages such as Python/Java 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP Expert in Database fundamentals, SQL and distributed computing 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink. Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS

About the Team Our sales and partner management teams are the heart and soul of DoorDash, enabling us to sign and partner with top restaurants across the country to drive revenue and help our partners operate and grow their businesses. As DoorDash grows both in scale and breadth of offering, the strength of our sales engine and organizational structure must grow with it. About the Role DoorDash is looking for a strong individual contributor within Sales Strategy - Sales Planning & Incentives, to execute top company business objectives and help define our sales strategy and planning roadmap. Your responsibilities will range from strategic (designing quotas and incentives aligned to the company's goals and strategy, integrating new products into sales GTM strategy and building consensus among sales leadership) to operational (forecasting, designing compensation plans, driving plan implementation and ensuring key metrics can be communicated, tracked and commissions calculated). You will bring a strategic mindset and deliver critical insights using analytical and technical support to the successful administration of sales incentive programs globally while proactively building partnerships, promoting open dialogue and creative insights expertise to issues in real time. This role specifically supports our US SMB Presales organization spanning multiple sales motions and role types. You'll be a planning and strategy partner for a high-velocity, high-volume sales motion where quota attainment, goaling accuracy / consistency, and rep productivity are the north stars. This role will report into a Senior Manager, Sales Strategy and Planning. You’re excited about this opportunity because you will… Work closely with sales leadership, sales strategy, finance, and product teams to own the development, implementation and administration of new and existing sales incentive structures Work closely with cross-functional partners (product, finance, sales, sales operations) to build a

About the Team Our sales and partner management teams are the heart and soul of DoorDash, enabling us to sign and partner with top restaurants across the country to drive revenue and help our partners operate and grow their businesses. As DoorDash grows both in scale and breadth of offering, the strength of our sales engine and organizational structure must grow with it. About the Role As Associate Manager, Sales Planning and Strategy at DoorDash, you will play a pivotal role in executing against top company business objectives and help define our sales strategy and planning roadmap. Your responsibilities will range from strategic (designing quotas and incentives aligned to the company's goals and strategy, integrating new products into sales GTM strategy and building consensus among sales leadership) to operational (forecasting, designing compensation plans, driving plan implementation and ensuring key metrics can be communicated, tracked and commissions calculated). You will serve as a strategic thought partner to Sales leadership while driving operational discipline across the organization. You will own cross-functional programs end-to-end, ensuring alignment across Sales, Product, Finance, Analytics, and Sales Operations to achieve business goals while proactively building partnerships, promoting open dialogue and creative insights expertise to issues in real time. This role specifically supports our CAN SMB Presales or Enterprise Ads & Promos Sales organization spanning multiple sales motions and role types. You will be the primary planning and strategy partner for the sales organization supported, where quota attainment, goaling accuracy and consistency, and seller productivity are the north stars. This role will report into a Sales Planning and Strategy manager. You’re excited about this opportunity because you will be driving… Strategic Leadership : Become the subject matter expert on sales data, sales incentives, while also gaining a comprehensiv

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craf

About the Team DoorDash is a data driven organization and relies on timely, accurate and reliable data to drive many business and product decisions. Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing data structures and data warehouse architecture, this team serves as the foundation for decision-making at DoorDash. The focus extends to enhancing the developer experience by creating tools that support the organization's high-velocity demands. To lead the growing team of Data engineers we are looking for managers who are passionate about Data and are thought leaders in coaching, guiding and leading teams to make Data a winning edge for DoorDash. About the Role DoorDash is looking for a Data Engineering Manager to guide the development of enterprise-scale data solutions. This manager will also act as a technical expert on all things related to data architecture to empower the greater community of data engineers, data scientists, and DoorDash partners. Your focus extends to fostering an engineering culture of excellence, empowering engineers to deliver reliable, flexible solutions at scale. Additionally, you'll play a pivotal role in building and nurturing a top-performing team, driving innovation and success in a dynamic, fast-paced environment. You must be located in San Francisco, CA, Sunnyvale, CA, or Seattle, WA for this hybrid position. You’re excited about this opportunity because you will… You are a people leader. You thrive in hiring, building, growing and nurturing impactful business focused data teams You are a technology leader. You drive the technical and strategic vision for the embedded pods and foundational enablers to meet current and future needs for scale and interoperability You strive for continuous improvement of data architecture and development process You think of quick wins

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 Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Senior Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs. This is a hybrid position and you must be located in Sunnyvale, San Francisco, or Seattle. You're excited about this opportunity because you will... Work with business partners and stakeholders to understand data requirements Work with engineering, product teams and 3rd parties to collect required data Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes Manage a portfolio of data products that deliver high-quality, trustworthy data Help onboard and support other engineers as they join the team We're excited about you because... 5+ years of professional experience 3+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP Expert in Database fundamentals, SQL and distributed computing 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink. Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms Excellent communication skills and experience working with technical and non-tec

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. The strongest enterprise and mid-market marketing doesn't lead with a product — it leads with the problem a buyer already has. A hospital administrator isn't looking for "Lyft Concierge"; they're looking to reduce missed appointments. An auto dealer principal isn't looking for a rideshare product; they're looking to keep loaner logistics from costing them revenue. We are in the process of revising our go-to-market for Lyft Business to organize around these audiences and their transportation problems, with Concierge, Lyft Pass, Business Profiles, and our Business Travel products positioned as the answer to a clearly named pain point by customer profile. We're hiring an Industry Marketing Manager to build that audience-first structure for our priority verticals, starting with Healthcare and Automotive , across both mid-market and enterprise segments. You'll own the vertical narrative and the content, demand generation strategy, and enablement that will drive marketing-attributable revenue. The primary function of this role is to build and lead vertical-specific go-to-market (GTM) motions for our mid-market and Enterprise business — bringing together vertical-specific content, demand generation, and sales enablement into a coherent, audience-first strategy. Responsibilities: Own vertical strategy and integrated programs Design and execute large, orchestrated tentpole programs for our priority verticals (no more than 2 per quarter) — multichannel activation spanning digital, live events, paid media, social, and press — that bring our value proposition and industry point of view to life for a defined buyer (e.g., hospital CFO, healthcare operations leader, dealer principal/service manager). Build and maintain a thought leadership agenda for each prioritized vertical: original research, proof p

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join Social media is an emerging discipline for Airbnb. We're seeking a Senior Social Measurement Lead to build an effective social media measurement strategy for Airbnb's global marketing and comms teams. The job will cover all content published on our owned channels, the social elements of our marketing and comms campaign work, and our influencer and creator programs. The right candidate will know how to identify, structure, and activate the right data — turning raw performance information into something usable, and ultimately into decisions that move the business forward. You will partner closely with social strategy, social creative, Comms, Data Science, and regional marketers to help Airbnb understand the impact of social media on business outcomes, and guide the team at both a day-to-day and at a strategic level on how to grow our channels and improve performance. The Difference You Will Make You will define how Airbnb measures social media — from the frameworks and tools we use to the stories we tell about performance. This is a greenfield opportunity to build a best-in-class measurement practice for one of the world's most recognized brands. You will go beyond dashboards. Your work will shape how Airbnb understands the impact of social on business outcomes, how teams make day-to-day creative and strategic decisions, and how leadership evaluates the effectiveness of our global social investment. You will bring rigor, innovation, and a bias for action — leveraging AI, experimentation, and deep platform expertise to keep Airbnb ahead of the curve. A Typical Day Define and own Airbnb'

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 Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craf

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 is in a defining moment — from turnaround to international growth, from traditional rideshare to the autonomous future — and how we build, organize, and lead our people will determine how well we get there. As Vice President, People, you will help drive the business forward through the strength of our people strategy, serving as a right hand to our Chief People Officer and a trusted advisor to Lyft's executive leadership team. This is a high-impact role for a seasoned people executive who operates at altitude and on the ground in equal measure, thrives in fast-paced, dynamic environments, and is energized by the chance to own some of the most complex and consequential work in the function. Reporting to the Chief People Officer, you will lead the People Business Partner organization, own workforce planning for the enterprise, and drive the human capital strategy behind Lyft's M&A activity from diligence through integration. You'll partner directly with the executive leadership team, represent the People function in cross-functional forums, and shape the org design, structure and ways of working that will carry Lyft into its next chapter. You'll anticipate challenges, help leaders look around corners, and bring forward-thinking solutions to keep Lyft's workforce agile, engaged, and ready for the future while shaping how the People function itself grows from here. Join us and help shape the future of work at one of the most mission-driven, people-focused companies redefining mobility. Responsibilities: Executive Partnership & People Strategy Partner directly with the Chief People Officer and executive leadership team on the people strategy behind Lyft's most significant business decisions, acting as a trusted advisor and bringing best-in-class practices to enable growth. People Business Par

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craf