Manager Marketing Services in San Francisco

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 Design Program Managers make DoorDash's Design Studio run better. As owner of the Logistics pillar within Design Operations, you're accountable for one of our most important operating outcomes: maximizing the bandwidth of the team. About the Role You'll find where ICs and managers lose time, fragmented workflows, manual processes, meeting overload, unclear rhythms, and you'll define and build the tools and systems that fix it. That might mean shipping a new internal tool, automating a recurring workflow, redesigning how scheduling or reviews work, or establishing a better operating cadence. You own the full loop: diagnose the problem, design the system, build the tool, measure whether it worked. You're excited about this opportunity because you will… Own the Logistics outcome, maximize the bandwidth of the team. ICs and managers have more usable time. Meeting load decreases. The team can focus on high-value work. Identify the biggest sources of operational drag across the Studio and turn them into a prioritized roadmap of tools and process fixes. Define and build the tools, automations, and workflows that reduce manual coordination, including for scheduling, budgets, vendor management, and event logistics. Redesign how the Studio operates: reviews, planning cadences, rhythms for both ICs and managers, information flows, whatever determines how fast teams can move. Measure whether your systems work, usable time for ICs and managers, meeting load, adoption, hours of manual work eliminated, and iterate. Turn recurring requests into scalable solutions. The second time a problem shows up, build the thing that stops a third. Own scheduling, budget, vendor, and logistics programs as a builder, not a permanent executor, your job is to make them need less manual effort every quarter. Partner with (and, as scope grows, help develop) other DPMs on the Logistics pod. We're excited about you because you have… 5+ years in operations, program management, or bu

About the Team At DoorDash, design means making experiences for the people who order, the people who prepare, and the people who deliver. As a Design Manager at DoorDash, you want to build things that matter to real people. You're at your best when you can move from idea to shipped product quickly, bringing experiences to life that reach and influence users at massive scale. You'll care about whether the product you make solved a real problem for real people, or changed how someone experiences their day. You'll work shoulder-to-shoulder with Engineering and Product Management, dig into the data, and use LLM-powered tools alongside traditional design tools. If the LLM powered tools don’t exist yet, you build them. About the Role Trust is the foundation of every interaction on DoorDash. We're looking for a design leader who can define and drive a vision for designing for integrity at scale. In this role, you will join the Integrity organization. You’ll lead a team of designers working across fraud prevention, trust, safety, and compliance — protecting millions of consumers, Dashers, and merchants while keeping the platform seamless and trustworthy. You will report into the Head of Design for our Customer Experience & Integrity organization. This role is hybrid- 1–2 days per week in one of our Design Hubs. You’re excited about this opportunity because you will… Set the technical direction for Design across your product area — decide what gets built, in what order, and why; connect multiple teams around shared platforms so the work compounds instead of duplicating Work on ambiguous problems and turn them into architecture decisions and working systems that teams actually use; earn trust with leadership not through decks, but through prototypes and shipped code that make your point for you Stay close to the code and the craft across multiple projects at once — you're not just reviewing, you're building; the work you ship will move real metrics across the product area

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 looking for a seasoned Sr. Manager, Accounts Payable, tto join our Controllership organization. In this high-impact leadership role, you will own Lyft’s end-to-end AP, which includes the T&E and corporate card programs. The role spans domestic and international operations—and serves as a key strategic and operational leader overseeing how the company pays its corporate suppliers, manages vendor relationships, and scales its procure-to-pay processes. You will lead a team of managers and individual contributors located across multiple locations, and partner closely with Finance, Procurement, Treasury, Legal, Tax, and the broader business to ensure operational and compliance excellence at scale. This role is uniquely positioned at the intersection of operational rigor, global expansion, and financial transformation—making it ideal for a leader who thrives on building world-class teams, deploying automation intelligently, and delivering best-in-class supplier experiences. Responsibilities: Team Leadership & Development Lead, mentor, and develop a multi-layered team of AP managers and staff distributed across the multiple locations, fostering a culture of accountability, continuous improvement, and growth. Set clear performance expectations, provide regular coaching and feedback, and support career development pathways for all direct and indirect reports. Build organizational capacity by identifying skill gaps, championing training initiatives, and creating succession plans for critical roles. Model Lyft’s values and leadership principles, cultivating a high-trust, inclusive, and results-oriented team environment. AP and T&E Operations & Procure-to-Pay Collaborate with business partners on the full end-to-end procure-to-pay cycle including Global Supply Management and Procurement O

Director of Engineering, Physical AI Role Overview The Director of Engineering will report to the General Manager of Physical AI, and will be responsible for leading a multi-disciplinary engineering organization. In this senior leadership role, you will own the execution of the Physical AI Data Engine — the platform powering the next generation of Physical AI/Embodied AI. You will collaborate closely with Operations and GTM to guide product direction and help solve the data bottleneck that stands between today's robotics research and real-world deployment. This role requires significant ownership in a fast-paced environment and you will motivate internal teams to set the pace for business growth. Travel will come into play. Key Responsibilities: Set and drive the technical vision across data collection infrastructure, teleoperation systems, ML training pipelines, model evaluation frameworks, annotation tooling, and research Lead a multidisciplinary engineering organization—spanning engineering managers, software engineers, ML engineers, and ML research scientists—while designing the organizational structure, talent strategy, and culture required to scale rapidly without compromising on quality or strategic alignment Maintain exceptional technical and operational excellence by deeply understanding team deliverables, asking incisive questions, identifying slipping standards early, and knowing precisely when to step in Drive cross-functional alignment across Engineering, Operations, and GTM on platform architecture, release processes, and shared priorities Collaborate with researchers and clients to architect and deliver scalable, production-grade data infrastructure tailored for complex robotics workloads Required Qualifications: Bachelor's degree in Engineering, Robotics, Computer Science, or a related technical field 8+ years of engineering experience in fast-paced environments, including 4+ years direct people management demonstrated history of recruiting, mentorin

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

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

About the Team The Sales Analytics team at DoorDash is responsible for getting the right information and insights out to drive our business goals. 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 You will be focused on partnering with our sales & strategy teams, who help solve pain points for small business (SMB) merchants on the Doordash platform through various methods such as new product adoption. You will lead analyses to guide our sales team with data-driven insights to unlock growth opportunities within their accounts. This cross-functional role will partner with sales, operations, product, and strategy teams. You will report into a Senior Manager on our Sales Analytics team, which is part of our Sales Operations organization. You’re excited about this opportunity because you will… Strategize – Devise and execute initiatives against the overall sales org strategy for “winning the merchant” while managing stakeholders across multiple lines of business Experiment – Use data-driven decision-making and sound business judgment to run sales tests and lead market intelligence efforts Optimize – Build the best merchant acquisition engine so DoorDash continues to offer the highest quality selection for its customers Analyze – Build models to evaluate the economics, value, and opportunity costs of strategic initiatives to improve sales performance Influence – Manage cross-functional projects with our sales, partner management, operations, product, engineering, business operations and BD teams to improve the merchant experience and achieve targets We’re excited about you because… You have 2+ years of experience in Analytics, Consulting, or Strategy You have a bachelors degree or higher You are highly technical with advanced SQL, basic Python/R, AI, and data modeling experience. You are an excellent analytical thinker who can deliver actionable recommendations

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About the Role HP IQ's Product Integrity & Developer Productivity team is responsible for building next-generation tools and systems that improve developer productivity and product quality at scale. We are specifically investing in agentic systems that automate complex workflows, from intelligent JIRA triage and root-cause analysis to test planning and quality automation. In this internship role, you will work directly with our hiring manager and team to design, build, and deploy agents that utilize pre-trained machine learning models to solve real problems for developers and quality engineers. This is an exceptional opportunity to be part of a team navigating the fundamental shift toward agentic development and to contribute meaningfully to tools that thousands of developers will rely on. What You Might Do As an intern on our team, you'll contribute to real-world engineering projects that explore how AI can improve the way software is built, tested, and maintained. Depending on business priorities and your team's needs, you may have the opportunity to: Design, build, and iterate on AI-powered t

About the Team The Storage organization builds and operates the online stateful systems and abstractions that DoorDash Engineering depends on: reliable, efficient, secure, and easy to use. Within Storage, the Distributed Caching team owns every caching offering at DoorDash end to end, including ElastiCache (Redis/Valkey), Boulder (our KVRocks-based key-value store for high-QPS feature serving), Entity Cache (read Bill Shen’s engineering blog post, “ High-Performance Proxy Cache for DoorDash Services ”), and the Distributed Lock Service, plus the smart clients (asgard-redis, valkey-go) that sit in front of them. These systems back critical product surfaces across DoorDash, Wolt, and Deliveroo: the team runs roughly 400 ElastiCache clusters serving hundreds of millions of GET requests per second in aggregate, and Boulder, our offline-to-online feature store, serves billions of feature lookups per second at peak. About the Role The team owns provisioning of clusters and the smart clients that sit in front of them, baking in sensible defaults so that other engineering teams get a turnkey caching solution instead of having to run their own. You'll help drive Boulder's evolution to scale further, improve cost efficiency, enhance performance, and support real-time updates; re-platform the Distributed Lock Service onto a strongly consistent backend; and build the self-serve tooling and recommendation engine that let customers describe a workload (QPS, TTL, payload size, latency profile) and get the right backend without talking to a human. You'll go deep on cache invalidation, replication, sharding, compaction, and failover, while shipping the guardrails, automation, and observability that keep this scale operable by a small team. You must be located in San Francisco, Seattle, or the New York Metro Area for this hybrid position. You will report to the Engineering Manager on the Distributed Caching team within the Storage organization. You’re excited about this opportunity b

About the Team The Code Quality team sits within the Developer Platform organization and owns the systems that keep DoorDash's codebase healthy and secure as it scales: static analysis, quality gates, test frameworks, regression infrastructure, and tooling. Our job is to make sure the signals engineers rely on before shipping — test results, coverage, performance feedback etc — are fast and trustworthy. The decisions we make about tooling and standards directly shape how confidently and quickly engineering teams at DoorDash can ship to production. About the Role We're looking for Software Engineers to help build and maintain the systems that validate code quality across DoorDash's engineering org, treating our tooling as a critical product for the engineers who rely on it every day: static analysis and quality gates, test frameworks and regression infrastructure. You’ll design the tooling and automation that will help derive trustworthy quality signals, integrate them into the development lifecycle, and make it easy for engineers to execute reliable, repeatable workflows. You will collaborate across the engineering org, partnering directly with the teams who use what you build to understand the accuracy, reliability and performance of their functionality. You will report into the Engineering Manager on our Code Quality team in our Developer Platform organization. You must be located in either San Francisco, CA, Sunnyvale, CA, Los Angeles, CA, Seattle, WA, or New York, NY. You're excited about this opportunity because you will… Build and maintain quality tooling — static analysis, quality gates, coverage reporting, test frameworks, regression infrastructure — and integrate it directly into our developer workflows and CI/CD pipelines Define and derive quality signals - flakiness, pass rate, coverage, performance, scale readiness etc - Build tooling that improves everyday engineering workflows, including local development, CI/CD, debugging, and rollou

About the Team Our mission is to provide a world-class development experience that makes DoorDash's web engineers among the most productive in the industry. We achieve this by creating the tools that enable all teams at the company to ship features quickly and reliably. Because their success is our success, we are deeply invested in building a strong, collaborative web community that champions best practices and welcomes participation. About the Role As a Software Engineer on the Developer Experience team, you will build the foundational pieces for all DoorDash, Wolt and Deliveroo Web applications. These include monorepos, build & CI systems and agent-first development tooling. You will work closely with engineers and other internal stakeholders to deliver large and impactful initiatives. Additionally, you will be a culture carrier for our Web engineers through mentorship, education, and engagement of your peers. You will report into the Engineering Manager of our Web Developer Experience team in our Developer Platform organization. You must be located in either San Francisco, CA, Sunnyvale, CA, Los Angeles, CA, Seattle, WA, or New York, NY. You’re excited about this opportunity because you will… Shape the future of Web Development. You will have a direct and meaningful impact on the daily workflows of every web engineer at the company, enhancing their productivity and overall developer experience. Build from the ground up. You will architect and implement foundational libraries, cutting-edge build systems, and innovative development tools that serve as the bedrock for all of our web applications. Solve complex, high-impact challenges. You will tackle some of the most significant technical hurdles in web engineering, and the solutions you deliver will be leveraged by hundreds of employees across numerous product teams. Act as a force multiplier. Your work will directly empower product teams to build, test, and release new features to our customers fa

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

About the Team The Spark Platform team owns and operates DoorDash's Apache Spark ecosystem — the execution runtime, remote shuffle service, cluster scheduler, and reliability tooling that powers the company's data, analytics, and ML workloads. We run Spark across the company at significant scale and continue to expand the workloads, capabilities, and consumer base we serve. Orchestrating and operating thousands of Spark cluster deployments is a complex distributed system problem which the team invests heavily in runtime optimization, systems architecture, multi-tenant scheduling, and end-user tooling. About the Role As a Software Engineer on Spark Platform, you will execute across the surfaces of our in-house Spark deployment that serves the entire company. The work spans Spark runtime upgrades and performance, multi-tenant scheduling and executor bin-packing on Kubernetes, cluster lifecycle automation, and the observability and incident automation that keep the platform sustainable. You will move between layers as the work demands — picking up the next high-leverage problem regardless of where it sits — and partner closely with the rest of the team and with platform consumers across the company. You must be located in San Francisco, Sunnyvale, Seattle, or New York City for this hybrid position. You will report into the Engineering Manager on our Spark Platform team. You're excited about this opportunity because you will… Build and operate an in-house Spark platform that runs at company-wide scale, spanning runtime, scheduler, reliability, and user-facing tooling. Drive multi-tenant scheduling, executor bin-packing, and cost-aware placement that let a small team serve dozens of consumer teams. Own pieces of cluster lifecycle automation — provisioning, upgrades, capacity changes, and node-failure handling — at a scale where these stop being manual events. Build the observability and incident automation that make the platform debuggable end-to-end and keep on-call sus

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