Senior Manager, Software Engineering (Integrations Platform)

Job Lead

The Job Lead, grow, and support a team of ~5-8 software engineers building and operating the Integrations Platform, fostering a high-performing, inclusive, and collaborative environment.

Responsibilities

• Own delivery and execution of the integrations roadmap, balancing partner needs, new platform capabilities, reliability work, and technical debt.
• Operate as a player-coach. Stay hands-on in architecture reviews, technical proposals, and design documents, and prototype where it adds the most leverage, while maintaining enough technical depth to make sound trade-off decisions.
• Partner closely with your Senior ICs to set technical direction, drive architectural alignment, and hold a high bar for engineering quality and operational excellence.
• Recruit, hire, and onboard exceptional engineers, and develop them through regular 1:1s, actionable feedback, growth plans, and performance management.
• Guide the team through the incremental migration to the next-generation integrations platform, managing scope, risk, phased cutovers, and rollback strategies without disrupting customers or nonprofit partners.
• Drive operational excellence for correctness-critical systems, including healthy on-call practices, SLO-based monitoring, incident response, and blameless retrospectives.
• Collaborate closely with Product, Design, Go-to-Market, Customer Success, and other engineering teams to deliver seamless integration experiences.
• Partner directly with customers and external technology partners to troubleshoot complex integration challenges and deliver effective solutions.
• Champion AI-assisted software development practices using tools such as Claude Code, Cursor, and GitHub Copilot by supporting repository conventions, review discipline, and engineering guardrails that let AI agents contribute safely at scale.

Qualifications

Candidates considered for this role will be located in the San Francisco Bay Area. There will be an in-office requirement of 3x a week.

Experience

• Leading and growing software engineering teams as a people manager, backed by a strong prior hands-on background as an IC.
• A credible technical partner: able to engage deeply in design and architecture discussions for backend, distributed, and event-driven systems, and to coach engineers on technical decisions.
• Familiarity with the technologies underpinning modern integration platforms, such as TypeScript/Node.js, APIs and webhooks, message-driven architectures, and AWS services (e.g., Lambda, SQS, SNS, DynamoDB, ECS, API Gateway).
• A track record of recruiting, hiring, developing, and retaining strong engineers, and of building healthy, motivated teams.
• Proven ability to deliver complex platform or backend projects, managing scope, risk, and stakeholders across teams.
• Experience partnering cross-functionally with Product, Design, Customer Success, Sales, and external partners to deliver customer-focused solutions.
• Comfort with correctness-critical distributed systems concepts, including idempotency, reliable event processing, and safe, phased production migrations.
• Strong communication and collaboration skills, a product-minded approach, and a passion for mentoring engineers and solving complex technical challenges.
• Experience driving operational excellence, including on-call health, observability, and incident management.

Preferred Experience

• Managing teams that build integrations, platforms, public/private APIs, or developer-facing services.
• Experience integrating with Salesforce, particularly nonprofit-focused products including NPC, NPSP, or Experience Cloud, and understanding of CRM ecosystems and the nonprofit or fundraising technology space.
• Familiarity with durable execution or workflow orchestration technologies such as Temporal or Cadence.
• Experience leading teams through re-platforming or large-scale migrations while operating legacy and modern systems simultaneously.
• Familiarity with iPaaS platforms such as Zapier or Workato, and with PHP/Laravel environments.
• Experience establishing conventions and verification practices that enable AI coding agents to contribute safely at scale.