Staff Technical Program Manager, ML Platform

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

11+ years of experience spanning Engineering / Data Science / Technical Program Management leading cross-functional efforts in the software or tech industry in a data-driven environment.

5+ 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

Strong proficiency with Python and SQL, and experience using data to analyze systems, build tools, or inform decisions.

with data visualization tools (e.g.

Grafana, Looker, Tableau) building dashboards, source control (e.g.

GitHub), ticket management (e.g.

JIRA).

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

Comfort operating with high visibility and accountability; you thrive on ownership and impact.

Demonstrated ability to quickly learn new domains, systems, and technologies.

Excellent communication, organizational, and leadership skills.

A background in software engineering, machine learning, or infrastructure systems

Prior hands-on experience with big data technologies such as Spark, Airflow, Hive, Kafka, or Flink.

Familiarity with cloud-native infrastructure (e.g., AWS, GCP) and containerization tools like Kubernetes or Docker.

Deep understanding of ML development workflows, model lifecycle management, or experimentation frameworks.

Background in building internal tools or developer platforms to improve engineering velocity and system reliability.

managing production systems, reliability initiatives, or cost optimization programs.

Exposure to high-scale consumer technology or social platforms with strong privacy, performance, or safety requirements.

Strong storytelling and presentation skills—especially with senior engineering or executive audiences.

Masters or PhD in a highly analytical field

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!

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.