Associate Manager, B2B Demand Generation

DoorDash
San Francisco, CA; New York, NY; Los Angeles, CA; Seattle, WA; Chicago, IL; Austin, TX; Boston, MAPosted 23 February 2026

Job Description

About the Team B2B Growth Marketing supports Merchant Acquisition ("Mx"), Commerce Platform , DoorDash for Business (“DDfB”), and various New Vertical categories (“NV”), with paid media being a key driving force to the business’ growing successes. We are a small, but mighty team that is truly building the plane together as we fly it. Our diverse team of marketers are highly-driven, performance-focused, super collaborative, and value having fun together just as much as our campaign results. About the Role DoorDash’s B2B Growth Marketing team is seeking a data-driven Performance Marketer to accelerate DoorDash for Business (DDfB) growth through a sales-led motion . In this role, you’ll own the strategy and hands-on execution of full-funnel programs that generate high-quality leads and pipeline for Sales—blending demand generation fundamentals (ICP, lead lifecycle, pipeline influence) with performance marketing rigor . You will build, launch, and optimize campaigns across LinkedIn Ads, Paid Search , and content syndication , while helping evolve our ABM/ICP-targeted strategy to reach priority accounts and decision-makers. You’ll partner closely with Sales, SDR leadership, Lifecycle/CRM, Product Marketing, Creative, and Analytics to improve lead quality, conversion rates, and investment efficiency. You’re excited about this opportunity because you will… Own DDfB sales-led demand gen performance across LinkedIn, Paid Search, ABM motions, and content syndication to drive MQLs, SQLs, pipeline, and revenue impact . Plan and execute LinkedIn + Search campaigns hands-on , including audience/keyword strategy, campaign structure, bidding, budget allocation, and always-on optimization. Develop and scale ABM/ICP-targeted programs , including account tiering support, matched audience strategies, segment-specific messaging, and coordinated plays with Sales/SDRs. Manage and optimize content syndication programs , including vendor/channel selection, lead quality monitoring, conversion improvements, and performance-based budget shifts. Own full-funnel testing strategy : creative/copy iteration, landing page experimentation, audience segmentation, retargeting, and channel mix tests to improve CVR and reduce CPL/CAC. Build tight Sales feedback loops : diagnose lead quality, improve handoffs and SLAs, and translate qualitative feedback into targeting, messaging, and funnel improvements. Drive measurement and reporting by defining KPI frameworks and creating performance readouts (e.g., MQL, SQL, CW, CPL, CAC/CPA, ROAS, Payback ) with clear insights and actions. Partner cross-functionally with Brand/Creative and Product Marketing to develop assets and messaging tailored to each segment and campaign objective. We’re excited about you because… You have 4–6+ years of hands-on experience in B2B demand generation and/or performance marketing , ideally in a sales-led environment. You have proven expertise executing and optimizing campaigns in LinkedIn Ads and Paid Search ; you know how to troubleshoot performance and scale winners. You’ve supported ABM/ICP-targeted marketing (or closely adjacent segmentation motions) and understand how to align campaigns to sales priorities and account strategy. You have experience running content syndication programs and can manage vendors, lead quality, and performance optimizations with a clear KPI lens. You are fluent in performance metrics and reporting, including MQL, SQL, CW, CPL, CAC/CPA, ROAS, LTV, Payback , and can turn performance data into clear next steps. You are relentlessly resourceful, highly execution-oriented, and thrive in fast-paced environments with evolving priorities. You’re a strong cross-functional partner and communicator who can build trust with Sales and create compelling narratives from performance data. You have experience with tools like Demandbase/6sense, CRM/automation platforms (HubSpot/Marketo/Pardot), experimentation frameworks, and ... (truncated, view full listing at source)
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