VP of Engineering

Description

About Deep Sync: 

Deep Sync is the industry leader in deterministic identity. Leveraging our 35-year foundation of compiling direct mail-grade datasets, Deep Sync develops data-first technologies that power marketing, measurement, AI, and business intelligence for agencies and brands with our fully deterministic identity graph, privacy-first audiences, comprehensive data solutions, and integrations with leading platforms and cloud providers. 

Location: 

Hybrid to Kirkland, WA    

Position Overview: 

Deep Sync is seeking an experienced VP of Engineering to lead our growing Engineering department.  As the Vice President (VP) of Engineering at Deep Sync, you will serve as a critical member of the executive leadership team. In this role, you will oversee the strategic direction and operational excellence of our Engineering, Data Science and AI departments. We are looking for a visionary leader who can drive innovation, build scalable systems, foster a culture of collaboration, and align engineering efforts with the company’s long-term goals. The VP of Engineering will partner with cross-functional stakeholders to deliver impactful, data-driven solutions that fuel Deep Sync’s growth and maintain its reputation for technical excellence. 

RESPONSIBLITIES:

Strategic Leadership & Vision:

• Develop and execute an engineering strategy aligned with Deep Sync’s business objectives, ensuring scalability, innovation, and operational efficiency.
• Partner with the executive team to develop long-term engineering goals, operational budgets, and resource allocation plans.
• Drive technical vision and direction, ensuring Deep Sync remains at the forefront of industry trends and emerging technologies.
• Drive Deep Sync’s AI strategies to unlock future growth opportunities.
• Represent the engineering team in executive and cross-functional leadership meetings, advocating for resources and driving alignment on company priorities.

Engineering Operations & Execution:

• Oversee the delivery of scalable, secure, and reliable software solutions, ensuring the effective execution of product roadmaps in collaboration with Product, Sales, Business Development, Customer Success, and Support teams.
• Establish and track engineering KPIs to measure performance, system reliability, and team productivity, using insights to drive continuous improvement.
• Lead Deep Sync’s AI, Data Science and platform strategies to support growth, ensuring optimal performance and cost-effectiveness.
• Oversee vendor relationships in partnership with IT, ensuring optimal contracts for tools, software, platforms, and services critical to engineering operations.

People & Culture:

• Lead, mentor, and inspire a high-performing team of engineers, cultivating a collaborative, diverse, inclusive, and innovative culture.

Requirements

Leadership & Management:

• 10+ years of progressive engineering experience, including 8+ years in leadership roles with increasing responsibility within software development or technical operations.
• Proven success managing engineering organizations of 15+ team members in a remote or distributed environment.
• 5+ years of experience leading and directing strategy for teams of data scientists, data engineers, and software engineers.
• Proven ability to lead an agile transformation, fostering an operating model that improves employee engagement, decision-making, and customer satisfaction.
• Proven track record of balancing strategic vision with operational execution, delivering on short-term goals while preparing for future growth.
• A passion for fostering an inclusive, innovative culture that supports employee development and long-term retention. 
• Demonstrated success in cross-functional collaboration, delivering impactful results through alignment with stakeholders.
• Exceptional communication and organizational skills.
• Travel up to 25% of the time for team retreats, leadership meetings, and annual company-wide events.

Technical Expertise:

• Experience with cloud platforms (AWS, GCP, Snowflake, Databricks, etc.) and modern engineering tools and practices.
• Deep understanding of privacy laws (e.g. CCPA) and security best practices, ensuring compliance across all systems.
• Demonstrated expertise in the design, development, and scaling of intricate technical systems, encompassing backend infrastructure, frontend platforms, and cloud infrastructure management.
• Proven experience in managing a data science organization, coupled with a comprehensive understanding of AI/data science methodologies.

Nice to Have: 

Leadership & Management:

• Experience with financial oversight, including developing and managing multi-million-dollar budgets.
• Successful leadership of engineering teams transitioning from Proof of Concept to Production multiple times.
• Experience working in a small to medium-sized business, where company culture, change, and inspiration come from leadership and peers.

Technical Experience:

• Experience managing a data science and data engineering organization(s) and an understanding of AI/data science methodologies, including deep learning, recommendation systems, and MLOps.
• Expertise with DataOps and large-scale data processing.
• Experience with consumer-facing products.
• Familiarity with DevOps practices and tools.
• AdTech experience (BONUS).

How We Get Things Done: 

This last bit is probably the most important! You must be a motivated individual who by nature wants to get things done. From jumping into new solutions to new technologies, to how you show up in your teams day to day we operate with the principle of getting things done. 

Benefits:

• Flexible Time Off and Paid Holidays 
• Medical/Vision/Dental Insurance, Voluntary Life & AD&D Insurance, Short-Term & Long-Term Disability, Critical Illness & Accident Insurance 
• 401(k) with employer matching