Senior Engineering Manager - SnowConvert AI

SnowflakeYesterday

Location

US-CA-Menlo Park

Type

Full Time

Salary

USD 236,000 – 339,250

Level

Senior

Role

Engineering Manager

Posted

Mar 15, 2026

Full TimeSenior

The role

Summary

Senior Engineering Manager role at Snowflake leading the AI-powered migrations team to build products that automate legacy system migrations to the Snowflake Data Cloud. The role requires 10+ years of experience building enterprise products with expertise in data ecosystems and AI-powered development tools.

What you'll do

Team Leadership: Lead and manage a growing team of talented engineers in designing, developing, and supporting AI-powered migrations products

Product Delivery: Deliver migration products in a fast-paced ecosystem working with professional services, partners, and customers

AI Strategy Implementation: Guide the team through evolving AI ecosystem to build AI-first migration products and tools

Career Development: Support engineers in career development by providing clear feedback and developing future engineering leaders

Requirements Translation: Translate product requirements into actionable engineering work and deliverables for the team

Cross-functional Collaboration: Collaborate with local and global teams/leaders in Engineering and Product Management organizations

Technical Leadership: Use technical expertise to reliably deliver complex migration projects while maintaining high quality standards

Culture Building: Foster a culture of creativity and innovation while promoting practical decision-making and execution

What we look for

Technical

Enterprise Product DevelopmentExtensive experience building and delivering enterprise-grade software products

Data Ecosystem ExpertiseStrong familiarity with databases, analytics, data engineering, and ETL processes

Developer Tools ExperienceProven experience building and delivering tools or platforms for data engineers and developers

AI-Powered ProductsExperience delivering products involving AI-powered code translation, developer co-pilots, or semantic validation

Education

Bachelor's DegreeBachelor's degree in Computer Science, Engineering, or related technical field (preferred)

Advanced DegreeMaster's degree in Computer Science or MBA advantageous for senior leadership role

Experience

Software Engineering Experience10+ years of extensive experience in software engineering and product development

Engineering Management5+ years of engineering management experience leading technical teams

Enterprise SoftwareProven track record building and scaling enterprise software products

Data Platform ExperienceExperience with data warehousing, analytics platforms, and migration technologies

Skills

Required skills

Engineering ManagementProven ability to lead and manage technical engineering teams effectively

Data ArchitectureDeep understanding of data warehousing, analytics, and ETL pipeline architectures

AI/ML TechnologiesExperience with artificial intelligence and machine learning technologies for enterprise applications

Enterprise Software DevelopmentExpertise in building scalable, reliable enterprise software products

Technical LeadershipStrong technical background with ability to guide complex engineering decisions

Cross-functional CollaborationExcellent communication skills for working with product, sales, and customer success teams

Nice to have

Cloud PlatformsExperience with AWS, Azure, or GCP cloud infrastructure and services

Migration ToolsFamiliarity with database migration tools and data transformation technologies

Agile MethodologiesExperience with Scrum, Kanban, and other agile development practices

DevOps PracticesKnowledge of CI/CD, containerization, and automated deployment practices

Open Source ContributionsActive participation in open source projects related to data engineering or AI

Public SpeakingExperience presenting at conferences or leading technical discussions

Compensation & benefits

Salary

USD 236,000 – 339,250 (annual)

Stock options

Available

Benefits

Equity Participation

Stock options and equity participation in Snowflake's growth

Health Insurance

Comprehensive medical, dental, and vision coverage

Retirement Plans

401(k) with company matching and retirement planning benefits

Flexible Time Off

Unlimited PTO policy and flexible work arrangements

Professional Development

Learning and development opportunities, conference attendance, and skill building

Parental Leave

Generous parental leave policies for new parents

Wellness Programs

Employee wellness initiatives and mental health support

Interview process

1
Initial Screening — Phone or video call with recruiter to discuss background, role fit, and compensation expectations
2
Hiring Manager Interview — Technical leadership discussion with hiring manager covering management philosophy and technical expertise
3
Technical Deep Dive — Architecture and system design interview focusing on data platform and AI migration challenges
4
Team Leadership Panel — Panel interview with engineering leaders discussing people management and team building scenarios
5
Product Strategy Discussion — Interview with product management to discuss migration product strategy and customer requirements
6
Final Executive Interview — Meeting with senior engineering leadership to discuss vision, culture fit, and long-term goals