Senior Engineering Manager – Hands-on

Jobtailor

Santa Clara (CA)

On-site

USD 180,000 - 250,000

Full time

13 days ago

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Jobtailor in Santa Clara, CA seeks a senior engineering leader to guide AI-driven product development and scale production systems. You will shape architecture, contribute hands-on, and drive cross-functional collaboration with PM, Architecture, AI Engineering, and Data Science teams.

We value deep technical expertise, strategic thinking, and a track record delivering complex SaaS platforms in cloud-native environments.

Qualifications

10+ years of software engineering experience with multiple years in leadership.
Hands-on leadership with code, implementation reviews, and delivery decisions.
Experience building, deploying, and scaling production-ready AI/ML systems.
Exposure to Generative AI, LLMs, autonomous systems, or intelligent workflow platforms.
Proven track record delivering complex SaaS products in cloud-native environments.
Strong foundation in software architecture, distributed systems, and modern practices.
Experience leading geographically distributed teams and partnering with PMs.

Responsibilities

Lead, inspire, and develop a team of software engineers.
Contribute code, review implementations, and influence architecture and design decisions.
Drive critical initiatives from concept to enterprise-scale production.
Partner with Product, Architecture, AI Eng, Data Science, and Design teams.
Define technical vision, strategy, and execution roadmap for AI-driven products.
Champion cloud-native development, automation, and DevOps practices.
Scale distributed teams and attract and retain talent.
Foster experimentation and continuous learning across the org.
Drive operational excellence across planning, delivery, and post-release performance.

Skills

AI leadership

Cloud-native

Distributed systems

Team leadership

Agile methodologies

Hands-on coding

Architecture & design

DevOps & observability

Education

Advanced degree in CS/Engineering/AI (helpful)

Tools

DevOps practices

Observability tools

Cloud technologies

AI orchestration frameworks

Enterprise software

Job description

Lead, inspire, and develop a team of highly skilled software engineers.
Contribute directly to the codebase, review technical implementation, shape architecture and design decisions, and ensure scalable, reliable, production-ready AI solutions.
Drive critical project initiatives from early concept through enterprise-scale production.
Partner with Product Management, Architecture, AI Engineering, Data Science, and Design teams.
Define the technical vision, engineering strategy, and execution roadmap for AI-driven products and services.
Champion cloud-native development, automation, observability, and DevOps practices.
Build and scale distributed engineering teams while attracting, developing, and retaining talent.
Foster experimentation and continuous learning.
Drive operational excellence across planning, execution, delivery, and post-release performance.

Requirements

10+ years of experience in software engineering, including multiple years leading and developing engineering teams.
Deeply technical, hands‑on engineering leadership experience with code, implementation, technical reviews, and delivery decisions.
Experience building, deploying, and scaling production‑ready AI/ML‑powered systems.
Hands‑on exposure to Agentic AI, Generative AI, LLMs, autonomous systems, AI orchestration frameworks, or intelligent workflow platforms.
Proven experience delivering complex 0-to-1 SaaS products in cloud‑native environments.
Strong foundation in software architecture, distributed systems, cloud technologies, and modern development practices.
Experience leading geographically distributed engineering teams.
Experience partnering with Product Management and business stakeholders.
Strong understanding of Agile methodologies and modern software delivery practices.
Ability to balance strategic leadership with hands‑on technical execution, including writing code and contributing to architecture, design, delivery, and operational decisions.
Experience building large‑scale platforms, services, or developer ecosystems would help you stand out.
Familiarity with enterprise software, workflow automation, observability, or operations management solutions would help you stand out.
Advanced degree in Computer Science, Engineering, Artificial Intelligence, or a related field is helpful but not required.

Core Competencies

Demonstrates expertise in leading and developing high‑performing software engineering teams while driving the technical vision and execution of AI‑driven products. Proficient in cloud‑native development, automation, and delivering scalable, production‑ready AI solutions.

Highest‑signal resume keywords