VP of Engineering
VP of Engineering
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USD 200000 - 300000
1 Vacancy
Job Description
About Deep Sync:
Deep Sync is the industry leader in deterministic identity. Leveraging our 35year foundation of compiling direct mailgrade datasets Deep Sync develops datafirst technologies that power marketing measurement AI and business intelligence for agencies and brands with our fully deterministic identity graph privacyfirst 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 companys longterm goals. The VP of Engineering will partner with crossfunctional stakeholders to deliver impactful datadriven solutions that fuel Deep Syncs growth and maintain its reputation for technical excellence.
RESPONSIBLITIES:
Strategic Leadership & Vision:
- Develop and execute an engineering strategy aligned with Deep Syncs business objectives ensuring scalability innovation and operational efficiency.
- Partner with the executive team to develop longterm 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 Syncs AI strategies to unlock future growth opportunities.
- Represent the engineering team in executive and crossfunctional 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 Syncs AI Data Science and platform strategies to support growth ensuring optimal performance and costeffectiveness.
- 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 highperforming team of engineers cultivating a collaborative diverse inclusive and innovative culture.
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 decisionmaking and customer satisfaction.
- Proven track record of balancing strategic vision with operational execution delivering on shortterm goals while preparing for future growth.
- A passion for fostering an inclusive innovative culture that supports employee development and longterm retention.
- Demonstrated success in crossfunctional 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 companywide 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 multimilliondollar budgets.
- Successful leadership of engineering teams transitioning from Proof of Concept to Production multiple times.
- Experience working in a small to mediumsized 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 largescale data processing.
- Experience with consumerfacing 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 ShortTerm & LongTerm Disability Critical Illness & Accident Insurance
- 401(k) with employer matching
Required Experience:
Exec
Employment Type
Full-Time
