Performance Marketing Lead

Nooks•San Francisco, CA

About The Position

Nooks is an applied AI lab building an Agent Workspace for go-to-market teams. The company develops AI agents for sales activities, from account strategy to prospect research and outreach. Its mission is to help sellers focus on closing deals by automating busywork. Nooks serves more than 2,000 customers, has raised over $70 million, and has tripled ARR each year for three consecutive years. The Performance Marketing Lead will build the foundation for Nooks’ performance marketing function and own paid media end to end, including planning, hands-on execution, measurement, and optimization. The role captures existing demand and builds demand among buyers who are not yet in-market. It calls for a fast-moving, analytical, detail-oriented systems thinker who is comfortable working directly in ad accounts, using AI to work more efficiently, and making budget decisions based on performance. The position reports to the Head of Growth Marketing. The role includes managing paid search and demand-capture programs; planning and buying paid social, display, programmatic, connected TV, and online video; allocating and pacing budgets against targets; overseeing agency and platform partners; and building reliable ad operations systems, templates, reporting, and anomaly monitoring. The successful candidate will establish channel measurement approaches, optimize spend based on ROAS, pipeline, and revenue, and develop repeatable workflows that can be automated. Nooks hires for trajectory rather than tenure and encourages candidates to demonstrate what they have built, owned, and scaled. The company is an equal opportunity employer committed to a diverse and inclusive workforce and to a workplace free from discrimination, harassment, and retaliation.

Requirements

Deep, hands-on paid search expertise, including value-based bidding, offline conversions, and smart bidding.
Experience planning and buying paid social, display, programmatic, CTV, and online video.
Strong understanding of measurement beyond last touch, including multi-touch attribution and incrementality, and a habit of thinking in ROAS.
Systems-thinking approach, extreme ownership, ability to move quickly, and attention to detail.
Proactive, hands-on approach: identify problems early, bring solutions, and hold agencies to a high standard.
Daily use of modern AI tools such as Claude or ChatGPT, with demonstrable workflows or automations; this is a must-have.

Nice To Haves

Experience with predicted lifetime value (pLTV) modeling and bidding.

Responsibilities

Own paid search and demand-capture programs, including hands-on management of Google and Bing accounts, account structure, keywords, bidding, ad copy, and landing pages.
Select and manage campaign bidding strategies, including manual CPC, tCPA, tROAS, and value-based bidding using offline CRM conversions.
Scale review sites, affiliate partner programs, content syndication, appointment setting, and third-party webinars to drive revenue growth.
Plan and run paid social, display, programmatic, CTV, and online video campaigns to reach buyers before they are in-market.
Define the role of each channel in the funnel and establish how its performance will be measured.
Build media plans, allocate budgets across channels, and manage pacing and attainment against targets.
Shift in-quarter spending based on ROAS and pipeline performance, and monitor daily advertising spend.
Report spend against pipeline and revenue using reliable figures leadership can trust.
Lead agency and platform partners by writing briefs, setting quality standards, QAing work, and identifying account issues proactively.
Accelerate creative testing and emerging-channel experiments, and share successful approaches with the team.
Build and pressure-test ad operations systems before campaigns launch.
Develop repeatable systems and templates that can be automated.
Automate reporting, monitor spending, detect anomalies early, and prototype solutions to validate them before investing in full builds.