Engineering Manager

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Sierra

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Sierra is a company that specializes in transforming customer experiences through the power of conversational AI. Their platform enables businesses to deploy AI agents that are empathetic, always available, and aligned with the brand's tone and voice. Sierra offers capabilities for real-time support, seamless integration into existing technology stacks, and the capacity to solve complex issues while continuously improving the customer experience. Trusted by leading brands, Sierra's AI platform is designed with a strong commitment to security and privacy, ensuring safe and secure interactions. The platform allows for personalization, enabling companies to imbue their AI agents with their own identity and processes, ensuring consistency and reliability across all customer interactions.

📋 Description

• Lead one or more client or internal project teams from scoping through delivery and shipping • Set technical direction and own end-to-end project delivery • Mentor, give feedback to, and grow engineers • Architect solutions and make technical decisions across the project stack • Review code and contribute hands-on in the codebase • Hire and interview future teammates • Partner with product, design, founders, clients, and stakeholders to turn ideas into production products • Translate vague requests into phased, executable plans • Run and support multiple projects simultaneously • Help shape Sierra Studio’s engineering culture and development practices

🎯 Requirements

• Experience leading project teams and owning delivery end to end • Track record of mentoring and growing engineers • Strong communication skills for team alignment, stakeholder management, and clear feedback • Experience turning vague requests into phased execution plans • Fluent written and verbal English communication • Senior-level hands-on engineering experience • Strong architecture and technical decision-making across a project’s stack • Ability to run and support multiple projects simultaneously • Experience with prompt engineering, RAG, and agentic patterns • Backend experience with either Python (e.g. FastAPI) or TypeScript • Ability to quickly learn new skills in the AI space • Experience using AI tools such as Cursor or Claude Code • Bonus: Experience building products with LLMs • Bonus: Curiosity about new AI developments • Bonus: Product and design partnership experience • Bonus: Consulting or client-facing experience integrating systems into enterprise infrastructure • Bonus: Comfort navigating customer IT, security review, and change-management processes

🏖️ Benefits

• Fully remote work • Flexible hours • Work-life balance support • Growth and professional development opportunities • Supportive and inclusive culture • Tools and space to keep growing