Senior Manager, GTM Architect

Snap Inc.•Los Angeles, CA

1d•$213,000 - $377,000•Onsite

About The Position

Snap Inc. is a technology company whose products include Snapchat, Lens Studio, Spectacles, Bitmoji, Saturn, and other digital services. The SMC GTM Architect team drives growth across Snap’s small-customer business, supporting the advertiser lifecycle from acquisition through activation, retention, and growth. The team converts platforms and models built by Snap’s Enterprise and Monetization Product and Engineering teams into repeatable go-to-market workflows for advertisers. The Senior Manager will design, prototype, and scale systems that support growth across Snap’s advertiser business. This includes translating central product and engineering capabilities into repeatable workflows and measurable business outcomes, building systems for orchestration, experimentation, personalization, communications, signals, and automation, and partnering across business and technical teams. The role also recruits and develops a team of technically fluent builders and communicates roadmaps and outcomes to executive stakeholders. Snap follows a “default together” approach, expecting team members to work in an office four or more days per week. The position is eligible for equity in the form of RSUs. U.S. annual base salary ranges vary by pay zone: Zone A (CA, WA, NYC), $251,000–$377,000; Zone B, $238,000–$358,000; and Zone C, $213,000–$320,000.

Requirements

Bachelor’s degree in Analytics, Computer Science, or a related field, or equivalent experience.
12 or more years of experience designing and deploying automation systems.
At least 2 years of experience in people management or technical leadership, including leading technical teams or large-scale programs.
Experience building and shipping production applications or working prototypes.
Experience using Python, SQL, or equivalent tools and technologies.
Knowledge of the digital advertising lifecycle, including campaign setup, bidding, optimization, measurement, and the advertiser journey from acquisition through monetization.
Strong technical foundation in Python and SQL and ability to build systems integrating CRM platforms, BigQuery, cloud services, Ads APIs, and other data platforms.
Ability to translate technical capabilities into measurable revenue, productivity, or cost improvements.
Ability to design scalable systems for experimentation, personalization, multichannel communications, signals, and automated decisioning.
Ability to partner effectively across Sales, Growth, Business Intelligence, Finance, Product, and Engineering teams.
Strong business judgment and executive communication skills, including communicating roadmaps, adoption, ROI, and business outcomes.
Hands-on operating style emphasizing practical solutions, clear ownership, rapid execution, and simplified complexity.
Commitment to high standards for testing, observability, data hygiene, and continuous iteration.

Nice To Haves

Experience working with LLMs, retrieval-augmented generation architectures, prompt engineering, evaluation frameworks, and model lifecycle management.
Experience using AI development tools such as Claude, Codex, or Google ADK.
Experience building or scaling go-to-market systems for digital advertising, marketing technology, or other customer lifecycle programs.
Experience designing systems connecting CRM platforms, cloud data warehouses, APIs, experimentation infrastructure, and cross-channel communications.
Experience translating behavioral, contextual, and performance signals into personalization, targeting, or automated decisioning.
Experience recruiting, coaching, and developing technically fluent teams of builders.

Responsibilities

Define and evolve the long-term vision for acquisition, activation, retention, and growth across Snap’s advertisers.
Architect an orchestration layer connecting CRM, BigQuery, Ads APIs, and other data platforms to provide unified account context and cross-system coordination.
Use experimentation infrastructure to run, measure, and learn from tests rapidly, safely, and at scale.
Build a personalization backbone that delivers relevant product recommendations, optimizations, and workflows to advertisers at the right moment.
Develop a multichannel communications engine coordinating timely, contextual outreach across in-product, email, and partner surfaces while balancing advertiser experience and measurable impact.
Establish a unified signals foundation combining behavioral, contextual, and performance data to power personalization, targeting, and decisioning.
Drive operational excellence through automation, building tools, APIs, and reusable triggers that reduce manual work and accelerate decision-making.
Serve as the technical bridge across Sales, Growth, Business Intelligence, Finance, Product, and Engineering, translating go-to-market objectives into scalable systems, KPIs, and measurable outcomes.
Recruit, coach, and scale a team of technically fluent builders while fostering ownership, experimentation, and measurable impact.
Present roadmap, adoption, and business outcomes to executive stakeholders and iterate based on outcomes and ROI.