Senior Director, Software Engineering

Responsibilities

Strategic Leadership & Team Development

• Lead and develop three experienced Managers and their teams, comprising approximately 40 engineers and contractors across Integrations, Workflows and Orchestration, and Data Management.
• Set the multi-quarter roadmap across the three pillars, balancing connector and workflow capacity, platform reliability, data quality, and compliance priorities.
• Build a high-performance engineering culture focused on ownership, accountability, and operational excellence across distributed, event-driven systems.
• Drive headcount planning, organizational design, and career development frameworks.
• Partner with the VP of Software Engineering on platform strategy and organizational decisions.
• Establish prioritization frameworks for integrations, workflow reliability, data quality remediation, and customer escalations.

Integrations

• Own the strategy and roadmap for native integrations and APIs connecting the platform to CRM, marketing automation, sales engagement, data warehouse, and BI systems.
• Guide scalable, fault-tolerant backend services and event-driven integration patterns.
• Prioritize connector development and partner/ISV integrations.
• Ensure integrations meet enterprise standards for reliability, throughput, observability, and security at scale.
• Define integration requirements, SLAs, and go-to-market timelines with Product and Cloud Partners teams.
• Oversee API and webhook strategy, including versioning, documentation, and developer experience.

Workflows and Orchestration

• Own the strategic direction for the workflow orchestration engine supporting lead-to-account matching and cross-system business processes.
• Guide architecture decisions for orchestration platforms that provide reliable execution, retries, state management, and durable long-running processes.
• Drive no-code/low-code workflow capabilities for conditional data transformation, routing, and enrichment.
• Ensure high availability, fault tolerance, scalability, and observability across workflow systems.
• Define execution guarantees and expand orchestration capabilities to new use cases.
• Establish best practices for workflow design, idempotency, and error handling.

Data Management

• Own data quality and data management capabilities, including deduplication, standardization, enrichment, and continuous verification.
• Guide matching-and-merging logic, enrichment waterfalls, and real-time change detection.
• Enforce validation rules and real-time data quality checks at the point of entry.
• Own compliance and governance capabilities, including suppression lists and audit trails.
• Partner with Product and Legal/Compliance on data handling standards.
• Drive monitoring of data quality metrics and proactive remediation.

Cross-Functional Partnership & Enablement

• Partner with stakeholders to define connector, workflow, and data quality requirements and SLAs.
• Drive documentation, training, and onboarding programs.
• Represent the organization in strategic planning, company projects, and technology decisions.
• Manage vendor and partner relationships and contracts.

Requirements

• 10+ years of progressive experience in software/platform engineering, integrations, or data engineering leadership.
• At least 4 years at the Director level or above.
• Experience leading and scaling engineering organizations of 25+ people through managers.
• Strong working knowledge of backend and distributed-systems technologies, including Java, Spring Boot, Node.js, NestJS, Kafka, and workflow orchestration platforms such as Temporal or Google Cloud Workflows.
• Experience owning integrations or connector ecosystems across CRM, marketing automation, sales engagement, and data warehouse platforms.
• Demonstrated ability to manage through managers and hold leaders accountable for outcomes.
• Experience with data quality and management capabilities.

Compensation

• Annual salary range: $224,000–$352,000.