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Snap Inc.

Sr. Specialist, SMC GTM Architect

Reposted 28 Days Ago
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Hybrid
Los Angeles, CA, USA
121K-214K Annually
Senior level
Hybrid
Los Angeles, CA, USA
121K-214K Annually
Senior level
Build and deploy automated systems supporting Snap’s long-tail advertiser growth across acquisition, activation, retention, and expansion. Integrate CRM, BigQuery, GCP, Ads APIs, and data platforms to create unified account context, personalization workflows, multi-channel outreach, and decisioning tools. Partner across product, engineering, and sales while driving experimentation, operational efficiency, reusable APIs, and measurable revenue or cost-saving outcomes.
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Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.


The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.


SMC GTM Architect team is the engine driving growth across Snap's long tail small-customer business. Operating across the full advertiser lifecycle — acquisition, activation, retention, and growth, the team autonomously supports core jobs-to-be-done, driving cost savings and incremental revenue through funnel optimization, scaled outreach, lifecycle marketing, and disciplined experimentation. We are a builder-first team of technically fluent talent (Python, SQL, advanced tooling) that turns platforms and models built by Snap’s Enterprise and Monetization Product and Engineering teams into repeatable GTM workflows for Snap’s long-tail advertisers.

In this role, you will be the executional engine of the SMC GTM Architect team — an individual contributor who conceptualizes, spearheads, and ships the core systems that power Snap's small-customer advertiser growth. You will work end-to-end across product, engineering, and sales, shipping systems that deliver measurable business outcomes. Success requires technical fluency, strong business acumen, complex judgement, and the ability to operate independently.

What you’ll do:

  • Take ownership of specific segments or workflows within the full-funnel strategy for long-tail advertisers, spearheading projects end-to-end.

  • Build and ship systems that integrate CRM, BigQuery, Ads APIs, and other data platforms, enabling unified account context and cross-system coordination.

  • Build personalization workflows that deliver the right product recommendations, optimizations, and triggers to the right advertiser at the right moment.

  • Develop multi-channel outreach across in-product, email, and partner surfaces, balancing advertiser experience with measurable impact.

  • Bring together behavioral, contextual, and performance data to power personalization, targeting, and decisioning.

  • Drive operational excellence through automation,  remove manual work, build reusable tools and APIs, and accelerate decision-making.

  • Find efficiencies and links across initiatives, proactively raise concerns, and prioritize tradeoffs with limited guidance from leadership.

  • Communicate progress, tradeoffs, and outcomes in a clear, compelling, and concise manner to leadership and stakeholders.

Knowledge, Skills & Abilities:

  • Track record of building and shipping systems that drove measurable business impact.

  • Understand how digital advertising works — campaign setup, bidding, optimization, measurement, and the advertiser journey from acquisition through retention.

  • Strong technical foundation in Python, SQL, or related languages, with hands-on experience building systems integrated with CRM, BigQuery, GCP, and Ads APIs.

  • Knowledge of LLMs, RAG architectures, prompt engineering, eval frameworks, and model lifecycle management.

  • Experience working with development tools such as Claude, Cursor, Google ADK

  • A bias for solving real customer problems with practical, well-designed solutions.

  • Hands-on operator, move quickly, simplify complexity, and stay close to the work.

  • High standards for your own work, your team, and the products you ship, with a relentless drive to learn and improve.

  • Strong builder mindset: rigorous about testing, observability, data hygiene, and

  • iteration cycles.

Minimum Qualifications:

  • BS/BA degree in Analytics, Computer Science, or related field, or equivalent experience.

  • 5+ years experience in designing and deploying automation systems, preferably in a GTM context.

  • Experience building and shipping production applications or working prototypes.

  • Experience with Python, SQL, or equivalent tools and technologies. 

  • Experience operating in high-growth, fast-paced environments. 

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. 


At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.


We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).


Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

Zone A (CA, WA, NYC):

The base salary range for this position is $142,000-$214,000 annually.


 

Zone B:

The base salary range for this position is $135,000-$203,000 annually.

Zone C:

The base salary range for this position is $121,000-$182,000 annually.

This position is eligible for equity in the form of RSUs.

If you believe this job description is missing required pay transparency information, please submit a report through this form: Job Description Pay Range Disclosure.

HQ

Snap Inc. Santa Monica, California, USA Office

Snap LA is located in the Santa Monica Business Park. We're across the street from a ton of great restaurants, coffee shops, Clover Park, and more!

Machine Learning

At Snap, Machine Learning Engineers are innovators, transforming massive amounts of data into intelligent, personalized experiences for over 850 million users. From revolutionizing content and ad platforms to enhancing search, our team leverages state of the art machine learning models to drive snapchat’s mission forward: to empower people to express themselves, live in the moment, learn and enjoy the world together. By pioneering technology that understands and anticipates user needs, Snap’s ML team fuels moments of discovery, connection, and joy - impacting lives and advancing human progress every day.

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