Engineering Manager — AI & Enterprise Platform

MetAntz; Menlo Park (CA); On-site; USD 170,000 - 230,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Job summary

Skan.ai is seeking an Engineering Manager to lead the development of the AI-powered enterprise platform. You will mentor engineers and align delivery with product and customer needs, balancing speed with reliability.

You’ll own architectural decisions, drive technical strategy, and collaborate with AI, data science, and design teams to deliver scalable backend services and observability across complex systems.

Qualifications

• 8+ years of software engineering experience with leadership.
• 2+ years of engineering management or people leadership in a product-focused software org.
• Strong fundamentals; design and build scalable production systems.
• Experience with backend systems, APIs, distributed systems, cloud infra or data-intensive apps.
• Solid understanding of modern software development practices, CI/CD, observability, testing, reliability.
• Experience partnering with Product, Design, Data Science, and other teams.

Responsibilities

• Lead, mentor, and grow a high-performing team of software engineers.
• Own engineering execution for key product and platform initiatives.
• Drive architecture, system design, and engineering standards across the team.
• Build reliable backend and platform services for enterprise AI products.
• Collaborate with AI, ML and data engineering teams to integrate models and telemetry.
• Participate in hiring, performance reviews, and career development.

Skills

Team leadership

Software engineering fundamentals

Distributed systems

CI/CD

Cloud infrastructure

Cross-functional collaboration

Architectural decision-making

Communication

Education

Bachelor's degree in CS or related field

Tools

Kubernetes

Docker

Kafka

PostgreSQL

Snowflake

Databricks

Python

Java

Go

TypeScript

Job description

Engineering Manager — AI & Enterprise Platform

About Skan.ai

Skan.ai is redefining how the world’s largest enterprises understand and optimize work. Our process intelligence platform uses AI and computer vision to observe how work actually happens across systems, teams, and workflows — creating a living operational model of enterprise execution. Fortune 500 enterprises across banking, insurance, healthcare, and BPO rely on Skan to uncover operational inefficiencies, accelerate transformation, and build the foundation for enterprise-scale AI adoption.

The Role

We’re looking for an Engineering Manager to lead the development and delivery of critical platform and product capabilities across Skan’s AI-powered enterprise platform. You will combine strong technical leadership with people management, working closely with product, design, data science, and customer-façing teams to translate complex customer and business requirements into reliable, scalable software. This role is ideal for an engineering leader who enjoys operating at the intersection of software engineering, AI, ML, distributed systems, data platforms, and enterprise SaaS.

What You’ll Own

Competitive base salary, meaningful equity, and comprehensive benefits. Compensation will be based on experience, location, and background. Location: Menlo Park, California, USA.

• Lead, mentor, and grow a high-performing team of software engineers, fostering strong engineering practices and a culture of ownership and execution.
• Own engineering execution for key product and platform initiatives, from technical planning through production delivery.
• Partner closely with Product Management and Design to translate product requirements into scalable technical solutions.
• Drive architecture, system design, technical strategy, and engineering standards across the team.
• Build reliable and scalable backend and platform services supporting Skan’s enterprise AI and process intelligence products.
• Work closely with AI, ML and data engineering teams to integrate models, analytics, telemetry, and intelligence capabilities into production systems.
• Establish strong practices around code quality, testing, observability, deployment, reliability, and security.
• Identify technical risks, architectural bottlenecks, and opportunities to improve engineering velocity and system performance.
• Participate in hiring, onboarding, performance management, career development, and organizational planning.
• Collaborate with customer-façing teams when needed to understand enterprise requirements and resolve complex technical challenges.
• Help establish engineering roadmaps and ensure alignment between technical investments and business priorities.
• Provide clear technical communication to engineering leadership, product leadership, and executive stakeholders.

What You Bring

• 8+ years of software engineering experience, with demonstrated experience leading engineering teams.
• 2+ years of engineering management or people leadership experience in a product-focused software organization.
• Strong software engineering fundamentals and experience designing and building scalable production systems.
• Experience with backend systems, APIs, distributed systems, cloud infrastructure, or data-intensive applications.
• Strong understanding of modern software development practices, CI/CD, observability, testing, and production reliability.
• Experience working closely with Product, Design, Data Science, and other cross-functional teams.
• Ability to remain technically credible while operating effectively as a people and organizational leader.
• Proven ability to break down ambiguous technical problems, establish priorities, and drive projects to completion.
• Experience hiring, mentoring, developing, and retaining strong engineering talent.
• Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
• Comfortable operating in a fast-paced startup environment with evolving priorities and significant ownership.

Bonus Points

• Experience building AI, ML-powered enterprise products or platforms.
• Experience with LLMs, generative AI, machine learning infrastructure, or AI-enabled workflows.
• Background in process intelligence, observability, developer productivity, workflow automation, or enterprise SaaS.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with technologies such as Python, Java, Go, TypeScript, Kubernetes, Docker, Kafka, PostgreSQL, Snowflake, Databricks, or similar modern technologies.
• Experience building data-intensive or telemetry-driven systems.
• Experience working with Fortune 500 customers or enterprise-scale software environments.
• Strong understanding of security, scalability, performance, and reliability requirements for enterprise applications.
• Technical background in Computer Science, Engineering, or a related field.
• Experience in a high-growth startup environment.

Why Join Skan Now

• Real Enterprise Scale: Skan.ai already powers operational intelligence initiatives inside Fortune 500 enterprises. You’ll build software that solves meaningful problems across complex enterprise environments.
• AI at the Core: Skan sits at the intersection of AI, computer vision, process intelligence, and enterprise software. You’ll work on technically challenging systems where AI creates measurable business impact.
• High Ownership, High Impact: This is not simply a team-management role. You’ll influence architecture, engineering strategy, product execution, hiring, and the technical direction of a growing enterprise AI platform.
• Build for the Enterprise: You’ll work on systems where scalability, reliability, security, and performance matter — and where engineering decisions directly impact large enterprise customers.
• Strong Cross-Functional Exposure: You’ll collaborate closely with Product, AI, ML, Data Science, Design, Customer Success, Solutions Engineering, and enterprise customers. Location San Francisco Bay Area, on-site. We expect regular in-office collaboration with engineering, product, and leadership teams. Occasional travel may be required for customer meetings and company events.