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Snap Inc.

Head of Technical Strategy & Operations

Posted 4 Hours Ago
Be an Early Applicant
Hybrid
4 Locations
213K-377K Annually
Expert/Leader
Hybrid
4 Locations
213K-377K Annually
Expert/Leader
Lead technical strategy and operations, overseeing engineering teams to optimize efficiency, deliver high-impact projects, and drive strategic alignment across the organization.
The summary above was generated by AI

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’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.

About the Role

In this leadership role, you will be accountable to ensure that our engineering teams are executing efficiently on our core priorities and business outcomes. You will drive the discipline behind planning, execution and operations as well as drive select high-impact technical projects and programs working with the leadership team. Reporting directly to CIO, you will act as the connective tissue to ensure our engineering organizations (across platform, product, information security and research) are aligned on our execution mechanisms and strategy as well as ensure we are making progress on cross-cutting priorities such as ML, infrastructure costs, reliability, performance and technical debt - critical initiatives that span organizational boundaries.

This essential leadership role demands a strategic, technically fluent operator who creates alignment and accountability across critical priorities that span multiple teams and functional domains.

Key Responsibilities
  • Lead and drive business critical, cross-functional special projects from inception through execution to measurable outcomes. Examples include: ML platform advancements, driving down infrastructure costs and improving gross margins, AI adoption for planning process across orgs, and build scalable solutions for roadmapping.

  • Partner deeply with engineering and product leadership to optimize operational efficiency, embed cost-conscious decision-making, and elevate platform reliability.

  • Design, manage, and elevate operating rhythms: annual planning, quarterly OKRs, reviews, resource allocations, and cross-functional syncs.

  • Own execution frameworks (processes, playbooks, tools) that ensure consistent, scalable project delivery across engineering, product, infosec and research teams.

  • Build artifacts—tools, dashboards, and programs—that influence decisions and surface program status, risks, and opportunities clearly on our core priorities such as investments in ML advancements and horizontal programs across engineering.

  • Serve as a trusted advisor and engineering lead, bridging gaps and aligning stakeholders across XFN layers.

Minimum Qualifications
  • Bachelor's in a technical field such as computer science, mathematics, statistics or equivalent years of experience

  • 10+ years of experience in Technical Program Management

  • A proven track record of leading large-scale, ambiguous programs across distributed teams in fast-paced, cross-functional environments, especially in the areas of improving platform reliability, operational stability and performance of production systems

  • Experience with data visualization tools (e.g. Grafana, Looker, Tableau) building dashboards, source control (e.g. GitHub), ticket management (e.g. JIRA).

  • Experience working directly with engineers and contributing to technical design, architectural trade-offs, and roadmap planning.

  • 2+ years of experience with technical leadership or acting as the domain-expert to a technical organization

  • Strong technical fluency—enough to deeply engage with engineering, product, info‑sec, and finance orgs and translate complex concepts into strategic clarity.

  • Proven impact launching operational discipline at the scale of engineering organizations, emphasizing process, cost optimization, and cross-functional alignment.

  • Data-driven decision-making instincts paired with polished executive communication—clear, persuasive, and concise across written and presentation mediums and ability to influence without authority.  

  • Collaborative, diplomatic, and resilient: thrives in high-velocity environments that demand quick alignment across diverse stakeholders.

Preferred Qualifications
  • Technical foundation (e.g. Machine Learning, Computer Science, Engineering, technical MBA) or prior hands-on experience in engineering/product management or a similar discipline.

  • Demonstrated success in tech organizations spanning software, hardware, ml, information security, and/or research verticals.

  • Experience scaling operations in early/rapid-growth, matrixed, or cross-functional environments.

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.

"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 $251,000-$377,000 annually.


 

Zone B:

The base salary range for this position is $238,000-$358,000 annually.

Zone C:

The base salary range for this position is $213,000-$320,000 annually.

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

Top Skills

Data Visualization Tools
Git
Grafana
JIRA
Looker
Machine Learning
Tableau
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 @ Snap

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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