ToppersNotes Logo

ToppersNotes

Technical / Programmatic Account Manager

Posted 10 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Redwood City, California
3K-4K Annually
Entry level
In-Office or Remote
Hiring Remotely in Redwood City, California
3K-4K Annually
Entry level
Own a portfolio of agency accounts as a technical and programmatic advisor. Build media plans, support campaign setup and optimization, troubleshoot targeting, bidding, pacing, inventory, delivery, deal structures, and measurement, and lead client reviews and training. The role also identifies growth opportunities across programmatic and digital advertising products while managing high account volume in a remote environment.
The summary above was generated by AI

This is a remote position.

About the Company

This company is a fast-moving programmatic advertising company serving agency and advertiser partners. The team places a strong emphasis on culture, leadership described wanting people who buy into the bigger picture, enjoy the work, and can handle a demanding environment while being rewarded with growth opportunities in an evolving product and market.

About the Role

As a Technical Account Manager, this person will help agency and advertiser partners successfully plan, activate, and grow their programmatic advertising through the platform. This is a hybrid role — roughly 60% technical support, 40% client ownership — combining deep programmatic and platform expertise with account management, strategic consultancy, and commercial responsibility. While the stronger weighting is on technical/programmatic depth, client-facing polish still matters, since technical elements come up directly on client calls. The person will own a portfolio of roughly 20–60 agency accounts, representing a broader book of up to ~150 individual advertiser accounts, supported by a structure of growth account managers and heavy internal automation — so it's not a one-to-one management load. They'll act as clients' technical and programmatic advisor, supporting campaign performance, troubleshooting, and growth, while working across DSPs, SSPs, and multiple media formats — and helping clients understand how programmatic fits within the wider digital ecosystem, including Microsoft Advertising, TikTok, Google Ads, and Meta.

Responsabilities
  • Own a portfolio of agency accounts and act as their primary technical and programmatic advisor.
  • Build data-driven media plans aligned to client KPIs, audiences, measurement requirements, and campaign objectives.
  • Support campaign setup, tracking, monitoring, and optimisation; troubleshoot targeting, bidding, pacing, inventory, and delivery issues.
  • Manage and troubleshoot deal structures across PMP, PG, Private Marketplace/Preferred Deals, and Open Auction.
  • Ensure proper tracking/measurement is in place, analyse performance, and recommend improvements.
  • Identify upsell and cross-sell opportunities across the agency portfolio (e.g., introducing Microsoft Advertising, TikTok, or programmatic products to clients not yet using them, or expanding within an existing client). This is a nice-to-have, not a disqualifier 
  • Lead campaign reviews, training, and platform adoption with clients.



Requirements
  • Strong operational understanding of DSPs, SSPs, auction mechanics (real-time bidding), and deal structures — this is considered fundamental; a candidate who doesn't understand these shouldn't be considered qualified.
  • Hands-on experience with at least two major DSPs from: StackAdapt, The Trade Desk, Amazon DSP, DV360, or Yahoo DSP. Experience with other/obscure DSPs is also welcomed as it brings a different perspective — this requirement is a strong preference, not a hard screening cutoff.
  • Experience across Display, Native, Video, CTV, Audio, DOOH, and B2B.
  • Good practical understanding of tracking pixels, attribution, and campaign measurement — called out as a core hard skill.
  • High English proficiency for client-facing conversations; a noticeable accent is fine as long as proficiency is strong.
  • Comfortable managing a high volume of accounts simultaneously (worth probing in interviews — how candidates organize and prioritize).

Tools
  • DSPs: StackAdapt, The Trade Desk, Amazon DSP, DV360, Yahoo DSP
  • Wider ecosystem knowledge: Microsoft Advertising, TikTok (working knowledge of Google Ads and Meta)
  • Attribution/measurement tools: Google Analytics/GA4 and equivalent tracking & measurement platforms (Diginius to confirm the specific brand list)

Nice to Haves
  • Strategic consultancy skills / broader commercial acumen — leadership flagged this as closer to a "unicorn" trait and said it can be downplayed rather than treated as a gate.
  • Natural upsell/cross-sell instinct — helpful but trainable; not required at hire.
  • Cultural fit: someone who engages with the bigger picture and enjoys a fast-paced, evolving environment.

Benefits
  • Salary: $2,500 – $3,750 montly
  • Remote work




HQ

ToppersNotes Redwood, California, USA Office

50 Woodside Plz, Redwood, California, United States, 94061 2500

Similar Jobs

10 Days Ago
In-Office or Remote
30K-45K Annually
Entry level
30K-45K Annually
Entry level
Edtech
Own a portfolio of agency accounts as their technical and programmatic advisor. Develop media plans, support campaign setup and optimization, troubleshoot targeting, bidding, pacing, inventory, delivery, deal structures, and measurement, and recommend performance improvements. Lead client reviews, training, and platform adoption while identifying growth opportunities across programmatic and digital advertising products.
Top Skills: Amazon DspAttributionAudioB2B AdvertisingCampaign MeasurementCtvDisplayDoohDspsDv360Ga4Google AdsGoogle AnalyticsMetaMicrosoft AdvertisingNativeOpen AuctionPgPmpPreferred DealsPrivate MarketplaceReal-Time BiddingSspsStackadaptThe Trade DeskTiktokTracking PixelsVideoYahoo Dsp
An Hour Ago
Remote
Mỹ
Senior level
Senior level
Automation
Leads pre-sales and technical solution sales for Azure and AI platforms across a strategic oil and energy account. Owns account planning, forecasting, pipeline growth, customer stakeholder relationships, partner orchestration, proof-of-concepts, and technical strategy. Advises customers on cloud transformation, data, analytics, AI, and infrastructure modernization while translating Microsoft capabilities into business value and closing deals.
Top Skills: Azure Ai ServicesAzure Machine Learning (Azure Ml)Azure Openai ServiceData EngineeringData ScienceData WarehousingAzureModel Catalog
An Hour Ago
In-Office or Remote
United States
143K-304K Annually
Senior level
143K-304K Annually
Senior level
Automation
Leads development of distributed AI platform services supporting large-scale reinforcement learning, post-training, and LLM deployment. Responsibilities include architecture, coding, performance optimization, model and hardware debugging, engineering tools, project planning, reliability, incident response, and mentoring. The role requires deep expertise in ML systems, AI infrastructure, GPU computing, containers, distributed training, inference, and cloud software development.
Top Skills: CC#C++Cloud SoftwareContainersDistributed Training InfrastructureGpu ComputingJavaJavaScriptPythonRaySglangSlimeVerlVllm

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account