Engineering Manager, Destinations

Recruiting From Scratch•San Francisco, CA

23h•Remote

About The Position

Our client is building the infrastructure layer that enables companies to activate customer data directly from their data warehouse. The platform powers hundreds of leading companies by connecting data warehouses to downstream systems such as CRMs, advertising platforms, analytics tools, and business applications through a large-scale integration ecosystem. Having raised over $320M and surpassed $100M ARR, the company has become a category leader at the intersection of customer data infrastructure, AI-powered marketing, and modern data platforms. The platform powers: Customer Data Activation, Reverse ETL Infrastructure, Data Sync Pipelines, API Integrations, Event-Driven Systems, Marketing Automation Infrastructure, AI-Powered Decisioning, Data Warehouse Connectivity, Customer Data Platforms, Enterprise SaaS Workflows. Engineering challenges include: Managing 300+ production integrations, High-scale sync infrastructure, API reliability and failure handling, Parallelism and batching optimization, Rate-limit detection and mitigation, Distributed systems performance, Data pipeline scalability, Customer-facing infrastructure, Integration lifecycle management, AI-enabled developer productivity. The company operates at the intersection of modern data infrastructure and AI-powered software, providing engineers and leaders the opportunity to build systems that directly impact thousands of customers and millions of daily workflows. The culture values: Customer Obsession, Ownership, Fast Execution, Technical Excellence, Pragmatism, Mentorship, Curiosity, Continuous Learning, Accountability, High Autonomy.

Requirements

6+ years of backend software engineering experience
1–3 years of engineering management experience
Experience managing and hiring software engineers
Strong platform engineering experience
Experience building API integrations and data infrastructure
Experience working in venture-backed startups during growth stages
Experience operating in fast-paced engineering organizations
Strong distributed systems fundamentals
Experience with performance optimization and scalability challenges
Experience building customer-facing infrastructure products
Strong system design skills
Strong communication and stakeholder management skills
Comfortable remaining hands-on as an engineering manager
Experience mentoring and developing engineers
Ability to balance technical leadership with execution

Nice To Haves

Managed teams of 5–10 engineers
Demonstrated success mentoring junior engineers
Experience hiring and growing engineering teams
Strong player-coach leadership style
Proven ability to drive execution through others
Built API integration platforms
Experience with sync infrastructure
Data pipeline ownership experience
Event-driven architecture experience
Distributed systems expertise
Platform scalability experience
Joined startups during growth stages
Experience scaling products from Series B through Series D+
High-growth SaaS experience
Demonstrated ownership of customer-facing systems
Strong execution velocity
Reverse ETL experience
Customer data platform experience
Marketing technology infrastructure
AI-powered product experience
Developer productivity tooling experience
Large-scale integration ecosystems
Performance optimization expertise
Infrastructure supporting enterprise customers

Responsibilities

Lead the engineering team responsible for 300+ destination integrations
Manage and mentor a team of approximately 8 software engineers
Drive execution across customer-facing infrastructure projects
Balance leadership responsibilities with hands-on technical contributions
Prioritize new integrations, enhancements, and platform improvements
Partner directly with customers and integration partners
Improve sync speed, reliability, and performance across the platform
Drive initiatives involving parallelism, batching, and rate-limit optimization
Help scale integration infrastructure supporting thousands of daily syncs
Guide architecture and technical decision-making across the team
Coach engineers and raise the technical execution bar
Improve engineering processes, planning, and delivery velocity
Collaborate closely with product, customer success, and leadership teams
Evaluate technical tradeoffs balancing customer impact and long-term scalability
Drive adoption of AI tooling to improve engineering productivity
Contribute to hiring, team development, and organizational growth
Operate with high ownership and autonomy across critical platform infrastructure
Represent the team internally and externally when needed