2 months ago

Senior Engineering Manager – Agentic Product

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead day-to-day engineering execution for a team building Adobe’s Agentic Product, an AI-native experience that combines generative models with Adobe’s capabilities. Drive coaching and growth, translate product strategy into engineering plans with PM, and ensure high-quality, user-facing AI features across surfaces at scale.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Lead day-to-day engineering execution for a team building Agentic Product capabilities — coordinating delivery, managing dependencies, and maintaining a predictable shipping cadence across surfaces.
•Grow and develop the engineers on your team through coaching, goal-setting, and hands-on technical engagement that builds both individual and team capability.
•Partner with Agentic Product Management to translate product strategy into well-scoped engineering plans, sequence delivery, and surface technical constraints early.
•Contribute to the design and delivery of agent capabilities spanning in-app creative workflows, multi-step task execution, and context-aware assistance across Adobe's surfaces.
•Help establish and maintain the quality bar for agent behavior — what good looks like, how it's measured, and how the team systematically improves it over time.

Key Requirements

•Track record of leading engineering teams to ship complex, high-quality user-facing AI products with strong execution discipline.
•Solid experience with AI/ML product engineering, including working knowledge of LLM APIs, agent frameworks, and the capabilities and limitations of current generative models in creative contexts.
•Hands-on technical depth: ability to engage in architecture decisions, review code and designs with a substantive point of view, and remain close to the code.
•Strong product sensibility — intuitions about user experience, ability to assess agent behavior as good or brittle, and partnership with PM and design as a peer.
•Experience shipping AI features to a large consumer and enterprise audience.

Experience:AIAI/MLSaaSSoftware

Skills:LeadershipCommunicationCollaborationCoachingProblem-solving

Languages:English

Tech Stack:LLM APIsAgent frameworksAI/MLArchitectureCode review

Company Brief

Adobe Systems

Provides creative, marketing, and document management software and cloud services, including Photoshop, Illustrator, Acrobat, and the Adobe Experience Cloud, serving creative professionals, enterprises, and governments worldwide.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1982

Glassdoor: 4.0

Website LinkedIn Glassdoor

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Adobe Systems

2 months ago

Senior Engineering Manager – Agentic Product

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Lead day-to-day engineering execution for a team building Agentic Product capabilities — coordinating delivery, managing dependencies, and maintaining a predictable shipping cadence across surfaces.
•Grow and develop the engineers on your team through coaching, goal-setting, and hands-on technical engagement that builds both individual and team capability.
•Partner with Agentic Product Management to translate product strategy into well-scoped engineering plans, sequence delivery, and surface technical constraints early.
•Contribute to the design and delivery of agent capabilities spanning in-app creative workflows, multi-step task execution, and context-aware assistance across Adobe's surfaces.
•Help establish and maintain the quality bar for agent behavior — what good looks like, how it's measured, and how the team systematically improves it over time.

Key Requirements

•Track record of leading engineering teams to ship complex, high-quality user-facing AI products with strong execution discipline.
•Solid experience with AI/ML product engineering, including working knowledge of LLM APIs, agent frameworks, and the capabilities and limitations of current generative models in creative contexts.
•Hands-on technical depth: ability to engage in architecture decisions, review code and designs with a substantive point of view, and remain close to the code.
•Strong product sensibility — intuitions about user experience, ability to assess agent behavior as good or brittle, and partnership with PM and design as a peer.
•Experience shipping AI features to a large consumer and enterprise audience.

Experience:AIAI/MLSaaSSoftware

Skills:LeadershipCommunicationCollaborationCoachingProblem-solving

Languages:English

Tech Stack:LLM APIsAgent frameworksAI/MLArchitectureCode review

Company Brief

Adobe Systems

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1982

Glassdoor: 4.0

Website LinkedIn Glassdoor