Senior Engineering Manager leading AI - first product experiences at Mixpanel. Guiding engineers to grow and build infrastructure for customer - facing applications.
About the role
- Engineering Manager responsible for platform infrastructure delivery at Shelf. Managing backend-centric teams and enhancing developer productivity in a multi-tenant SaaS environment.
Responsibilities
- As an Engineering Manager of Platform at Shelf, you will own the delivery of the Platform infrastructure.
- You will manage and grow a backend-centric Platform team consisting of software engineers, DevOps, SRE, and QA specialists.
- You’ll set clear contracts and boundaries between platform surfaces and product services; prevent creating bespoke solutions for product teams.
- Reliability will be operated efficiently with SLOs and error budgets; incidents will be handled with a healthy on‑call, runbooks, and blameless reviews.
- Together with Product Managers, you’ll exercise product thinking to enhance developer productivity, reduce cognitive load, and ultimately, decrease time-to-market.
Requirements
- 4+ years of Engineering Management experience leading cross-functional, backend-centric teams (10+ engineers) in product companies operating multi-tenant SaaS systems.
- 5+ years as a Senior Software Engineer, Tech Lead, or Staff Engineer with deep Node.js or Python expertise.
- Understanding of AWS cloud primitives; hands-on experience with compute, storage, messaging, and databases (SQL and NoSQL).
- Infrastructure as Code experience: CI/CD pipeline design and optimization.
- Experience with API management (versioning, backward-compatibility, contract testing), service catalogs, and developer experience tooling.
- Personally built and operated distributed systems, event-driven architectures, and cloud-native applications; led complex migrations.
- Comfortable with high-volume data processing, and schema design/performance tuning at scale.
- Translate complex technical constraints into business-intelligible trade-offs; align platform capabilities with product team needs.
- Experience with SLO/error budget frameworks, incident management, FinOps, and observability best practices.
- Strong track record coaching Tech Leads and Senior ICs, implementing SDLC and reliability practices, and partnering with Product Management.
- Present work effectively through clear architecture diagrams, documentation, and verbal communication; communicate technical strategies to leadership.
- Proficiency with AI-powered development tools (GitHub Copilot, Claude, etc.) and eagerness to push AI-assisted engineering workflows.
- Proactive problem-solver with genuine curiosity - never satisfied with "good enough", constantly refining tools and approaches.
- As a plus, the Databricks or Snowflake integration experience is beneficial.
Benefits
- B2B contract.
- Company Stock Options.
- Hardware: MacBook Pro.
- Modern technical stack. Develop open-source software.
- GitHub Copilot subscription.
- Access to Claude Code, OpenAI Codex, TypingMind, and MCP Servers.
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
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