Netflix

5 months ago

Technical Program Manager (L6) - Ads Decisioning & Optimization

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Lead multiple complex cross-functional Ads programs that deliver technical solutions across product, engineering, design, and data science. Serve as an Ads domain expert to shape technical strategy, align roadmaps, manage dependencies, and proactively mitigate risks using measurable milestones. Use program learnings to influence improvements in underlying technologies, architectures, and operations. Communicate progress and status to stakeholders and senior leadership.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Program & Project Management (PMO)

Key Responsibilities

•Lead multiple complex cross-functional programs with product, engineering, design, and data science to deliver technical solutions.
•Develop sound technical strategies with engineering partners using deep Ads domain expertise.
•Align cross-functional roadmaps by driving clarity and engagement, and weigh in on relative priority.
•Decompose requirements into technical execution plans with measurable milestones, optimizing scope and schedule while managing dependencies and risks.
•Communicate program progress toward goals and report status to stakeholders and leadership.

Pay and Benefits

Salary: USD 420,000 - 630,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityPaid Leave

Key Requirements

•10+ years of technical program management experience.
•Ad tech expertise driving scaled delivery of ads decisioning systems and ML optimization engines.
•Proven experience driving large-scale software projects, defining technical strategies, and building long-term scalable solutions.
•Deep understanding and point of view on product growth and discovery solutions.
•Excellent written and verbal communication to articulate business impact and technical constraints.

Experience:Ad techSoftware engineeringMachine learning

Skills:Cross-functional collaborationStakeholder communicationRisk managementTechnical strategySelf-starting

Tech Stack:Machine learning

Company Brief

Netflix

Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Los Gatos, United States

Founded: 1997

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Netflix

5 months ago

Technical Program Manager (L6) - Ads Decisioning & Optimization

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Program & Project Management (PMO)

Key Responsibilities

•Lead multiple complex cross-functional programs with product, engineering, design, and data science to deliver technical solutions.
•Develop sound technical strategies with engineering partners using deep Ads domain expertise.
•Align cross-functional roadmaps by driving clarity and engagement, and weigh in on relative priority.
•Decompose requirements into technical execution plans with measurable milestones, optimizing scope and schedule while managing dependencies and risks.
•Communicate program progress toward goals and report status to stakeholders and leadership.

Pay and Benefits

Salary: USD 420,000 - 630,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityPaid Leave

Key Requirements

•10+ years of technical program management experience.
•Ad tech expertise driving scaled delivery of ads decisioning systems and ML optimization engines.
•Proven experience driving large-scale software projects, defining technical strategies, and building long-term scalable solutions.
•Deep understanding and point of view on product growth and discovery solutions.
•Excellent written and verbal communication to articulate business impact and technical constraints.

Experience:Ad techSoftware engineeringMachine learning

Skills:Cross-functional collaborationStakeholder communicationRisk managementTechnical strategySelf-starting

Tech Stack:Machine learning

Company Brief

Netflix

Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Los Gatos, United States

Founded: 1997

Glassdoor: 4.1

Website LinkedIn Glassdoor