VP of Engineering

Wpromote

3d•$230,000 - $285,000•Remote

About The Position

Wpromote is seeking a Vice President of Engineering to lead the engineering organization responsible for Polaris, its client CRM and marketing intelligence platform. Polaris supports client and integration management, normalized marketing data, reporting, measurement, forecasting, optimization, anomaly detection, and client insights through internal and client-facing products. The VP is accountable for engineering strategy, people, architecture, delivery, quality, reliability, security, and financial stewardship. The position sits on the Product Development Leadership team and partners with Product, UX, Data Science, Security, Finance, agency leaders, clients, and technology vendors. The leader must guide engineering managers and senior engineers while also being able to contribute to architecture decisions, critical incidents, and unfamiliar technical problems when needed. The role will scale the engineering organization, leadership structure, and development practices as Polaris grows. It will also advance AI adoption in software development and build shared platform capabilities, tooling, and infrastructure that help teams deliver more quickly while maintaining standards for quality, reliability, and security. The position may be performed remotely in most U.S. states, with some exclusions; Los Angeles and New York office hubs are available for in-person collaboration and events. Immigration sponsorship is not available.

Requirements

12+ years of software engineering experience, including 5+ years leading engineering managers and multidisciplinary engineering organizations.
A record of building healthy teams, developing leaders, raising accountability, and delivering complex products in close partnership with Product, UX, Data Science, Security, and business stakeholders.
Deep architectural judgment across modern SaaS applications, APIs, cloud infrastructure, data platforms, distributed systems, CI/CD, observability, and security. Direct experience with GCP and the Polaris stack is valuable; equivalent depth in comparable technologies is acceptable.
Experience improving developer productivity and delivery performance through platform capabilities, automation, testing, operational standards, and reporting on DevEx KPIs.
Practical experience adopting AI-assisted development or agentic workflows, with the judgment to balance speed against security, quality, cost, and maintainability.
Demonstrated ownership of cloud and software budgets, vendor relationships, capacity planning, and technical contract decisions.
Calm, decisive leadership and the ability to move between executive communication and hands-on technical investigation when necessary.
Clear written and verbal communication, especially when explaining risk, architecture, cost, or tradeoffs to clients and non-technical leaders.
A bias toward durable systems, explicit ownership, and delegation; the ability to solve urgent problems without allowing the organization to remain dependent on a single person.

Nice To Haves

Experience in digital marketing, advertising technology, agency technology, or high-volume data and analytics integrations.
Experience with customer-facing, multi-tenant enterprise products that share data, services, or platform capabilities.
Experience with data ingestion and transformation at scale, including heterogeneous APIs, normalized data models, orchestration, warehouse design, and data quality controls.
Production support for data science and measurement applications such as marketing mix modeling, forecasting, experimentation, optimization, or anomaly detection.
Experience with SOC 2 or similar control environments, enterprise identity and access management, and client security reviews.

Responsibilities

Lead, coach, and hold accountable engineering managers and individual contributors across the application stack, data pipelines, quality engineering, and cloud platform.
Develop technical leaders to reduce single points of failure and support organizational scale without relying on individual heroics.
Set and reinforce standards for technical judgment, delivery ownership, collaboration, documentation, operational discipline, and customer impact.
Own engineering capacity planning, staffing allocations, and the engineering operating budget; manage cloud, data, AI, tooling, and software vendor spend.
Partner with Product, UX, Data Science, and the Chief Product Officer to shape the Polaris roadmap, sequence investments, surface dependencies, and make tradeoffs among customer value, speed, reliability, cost, and technical health.
Translate agency, client, and market needs into a coherent technology strategy across Polaris IQ, shared data products, and measurement applications.
Maintain an actionable architecture roadmap that supports product growth and retires fragile systems, duplicated capabilities, and unnecessary operational costs.
Define and manage an engineering scorecard tracking delivery speed and quality; improve deployment frequency through automated testing, CI/CD, observability, release automation, and fast feedback loops.
Set and execute the engineering AI strategy; evaluate coding agents, model providers, agent runtimes, and automation opportunities based on measurable value, security, reliability, usability, and total cost.
Own end-to-end technical architecture across Python and Django services, React applications, PostgreSQL, Airflow, BigQuery, dbt, GKE, Cloud Run, Terraform, GitOps, Argo CD, and GitHub Actions.
Ensure data pipelines and systems deliver accurate, timely, and observable data across advertising, analytics, commerce, and client data sources.
Own service-level objectives, incident management, corrective actions, capacity planning, and risk reduction for application, platform, and data workloads.
Serve as the final engineering escalation for critical incidents and high-risk architecture decisions, and ensure durable runbooks, monitoring, and delegated ownership are in place afterward.
Partner with Security and Legal on secure architecture, identity and access management, secrets, vendor risk, data governance, incident response, client assurance, and compliance obligations.