Netflix

4 months ago

Manager, Data Science & Engineering - Title & Launch Management

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Lead a multidisciplinary team focused on Netflix’s title launch strategy, building autonomous AI solutions and production ML services that automate large-scale content ingestion. Drive end-to-end measurement, evaluation, and iteration on algorithms and data products powering new content formats and global distribution. Coach and develop analytics engineers, data scientists, and ML practitioners, and partner with cross-functional teams to shape the roadmap and deliver scalable, self-service ingestion capabilities.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Oversee end-to-end efforts to design, deploy, and evaluate autonomous AI solutions that advance the title launch strategy.
•Coach, empower, and elevate a team of analytics engineers, data scientists, and ML practitioners to increase impact and career growth.
•Collaborate cross-functionally to set vision/roadmap, prioritize initiatives, and drive execution.
•Define and uphold high standards for velocity and technical excellence while nurturing engineering/scientific rigor.
•Lead durable partnerships with product, engineering, and content stakeholders to align on long-term goals and deliver outcomes.

Pay and Benefits

Salary: USD 480,000 - 750,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityDisability

Key Requirements

•Proven track record leading data/ML-focused teams with rigorous measurement and AI/agentic solutions.
•Deep expertise in autonomous agentic systems and applied ML, including launching and iterating on production ML services.
•Experience guiding teams through ambiguous, complex technical and business problems with disciplined execution.
•Track record mentoring and developing talent, including recruiting and growing researchers and engineers across multiple levels.
•Master’s or PhD in Machine Learning, Computer Science, or a closely related field (plus 6+ years hands-on ML; 2+ years leading ML teams).

Experience:6+ yearsMachine learningArtificial intelligenceAutonomous agents

Education:

Skills:LeadershipMentorshipCommunicationStakeholder managementProblem-solving

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

4 months ago

Manager, Data Science & Engineering - Title & Launch Management

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Oversee end-to-end efforts to design, deploy, and evaluate autonomous AI solutions that advance the title launch strategy.
•Coach, empower, and elevate a team of analytics engineers, data scientists, and ML practitioners to increase impact and career growth.
•Collaborate cross-functionally to set vision/roadmap, prioritize initiatives, and drive execution.
•Define and uphold high standards for velocity and technical excellence while nurturing engineering/scientific rigor.
•Lead durable partnerships with product, engineering, and content stakeholders to align on long-term goals and deliver outcomes.

Pay and Benefits

Salary: USD 480,000 - 750,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityDisability

Key Requirements

•Proven track record leading data/ML-focused teams with rigorous measurement and AI/agentic solutions.
•Deep expertise in autonomous agentic systems and applied ML, including launching and iterating on production ML services.
•Experience guiding teams through ambiguous, complex technical and business problems with disciplined execution.
•Track record mentoring and developing talent, including recruiting and growing researchers and engineers across multiple levels.
•Master’s or PhD in Machine Learning, Computer Science, or a closely related field (plus 6+ years hands-on ML; 2+ years leading ML teams).

Experience:6+ yearsMachine learningArtificial intelligenceAutonomous agents

Education:

Skills:LeadershipMentorshipCommunicationStakeholder managementProblem-solving

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