Principal Software Engineer, AI Tooling & Adoption

From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.

About Us

Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

Fivetran is seeking an exceptional Principal Software Engineer to lead our AI adoption initiative across the Engineering organization. This unique leadership role combines deep technical expertise with strategic business acumen and change management capabilities. You will be the driving force behind transforming our 500+ engineers into “Bionic Engineers" while implementing Virtual Engineer capabilities to achieve 10% productivity gains in FY26 and 20% in FY27.

As the single point of contact for AI initiatives in Engineering, you will orchestrate an engineering-wide transformation that makes AI-driven productivity a core engineering competency. This role requires someone who can navigate the rapidly evolving AI landscape, drive adoption across diverse teams, and deliver measurable business impact.

This is a full-time position based out of our Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use

Java, Postgres, Oracle, SQL Server, MySQL, Kubernetes, Docker, AWS, GCP, CircleCI

Google Gemini, Anthropic Claude, Claude Code, ChatGPT, OpenAI Codex, GitHub Copilot

What You’ll Do

Adoption Management & Leadership (40%)

Drive Cultural Transformation: Lead the evolution from AI-curious to AI-native engineering practices across all teams

Champion Change Management: Convert skeptics into advocates through data-driven demonstrations of value and hands-on enablement

Measure & Accelerate Adoption: Establish KPIs, track progress from the current 50% to 100% adoption, and implement interventions to accelerate uptake

Build Communities of Practice: Create forums for knowledge sharing, celebrate wins, and foster peer-to-peer learning

Technical Leadership (35%)

Tool Evaluation & Selection: Continuously assess emerging AI tools (Copilot, Claude Code, Codex, etc.) and make data-driven recommendations

Architecture & Integration: Design technical frameworks for integrating AI tools into existing development workflows and CI/CD pipelines

Virtual Engineer Implementation: Lead proof-of-concepts for coding agents in standardized tasks (Lite Connectors via CoIL, code refactoring, test generation)

Security & Compliance: Partner with Security and Legal teams to ensure AI tool usage protects IP and meets compliance requirements

Technical Standards: Establish best practices, guidelines, and guardrails for AI-assisted development

Performance Optimization: Analyze and optimize the technical performance and cost-efficiency of AI tool deployments

Innovation Pipeline: Maintain awareness of cutting-edge AI developments and identify opportunities for competitive advantage

Business Leadership (25%)

Strategic Planning: Develop and execute the three-phase AI adoption roadmap (Explore & Learn → Enable, Train & Adopt → Core Competency)

Budget Management: Oversee $1M+ annual tool budget, optimize spend across 500+ team members, and demonstrate ROI

Stakeholder Management: Build relationships with the CEO, Engineering Leadership, Finance, L&D, Legal, and Security teams

Business Case Development: Quantify productivity gains, cost savings, and strategic value of AI initiatives

Vendor Relations: Negotiate enterprise contracts, manage vendor relationships, and influence product roadmaps

Cross-functional Collaboration: Work with Program Managers, Engineering Managers, and other non-IC roles to extend AI benefits

Competitive Intelligence: Monitor industry trends and ensure Fivetran maintains a leadership position in AI-augmented engineering

Enable Success at Scale: Design and implement adoption playbooks that work across diverse teams with varying technical backgrounds

Remove Barriers: Identify and systematically eliminate technical, cultural, and process obstacles to AI adoption

Communicate Impact: Regularly present adoption metrics, success stories, and ROI to engineering leadership and executives

Skills We’re Looking For

Technical Expertise

10+ years of software engineering experience with proven expertise across multiple programming languages and paradigms

Deep hands-on experience with AI-powered development tools (GitHub Copilot, ChatGPT, Claude, etc.)

Strong understanding of LLMs, prompt engineering, and AI model capabilities/limitations

Experience with CI/CD, DevOps practices, and modern software development workflows

Track record of evaluating and implementing new technologies at scale

​ Leadership Experience

Proven ability to drive technical initiatives across large engineering organizations (500+ people)

Experience leading without authority and influencing senior technical leaders

Track record of successful change management in engineering contexts

Demonstrated ability to convert technical innovations into business value

Experience presenting to C-level executives and board members

Adoption & Enablement Skills

Experience driving tool adoption across diverse technical teams

Strong communication skills with the ability to create compelling narratives for different audiences

Track record of building training programs and enablement materials

Data-driven approach to measuring and improving adoption metrics

Patience and empathy when working with skeptics and late adopters

Bonus Skills​

Experience with Fivetran's tech stack (Java, Python, C, SQL, Bazel, React)

Background in developer productivity, platform engineering, or DevEx roles

Experience with virtual agents/coding assistants in production environments

Knowledge of AI/ML fundamentals and enterprise AI governance

Previous experience in high-growth SaaS companies

#LI-HYBRID #LI-EM1

The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant educati