Growth Operations Engineer

Title: Growth Operations Engineer 

Peerspace is the leading and category defining online marketplace for venue rentals for meetings, productions, and events. We open doors to the most inspiring spaces around the world, from lofts and mansions to storefronts and studios. Over $500M has been transacted through the platform, and our investors include GV (Google Ventures) and Foundation Capital.

Our people are the heart of Peerspace.  We are a team that values inclusion and working cross functionally.  Our strategy and objectives are clear and we support one another to exceed expectations.  We believe that a healthy company culture creates an environment where people are excited to come into work everyday and contribute to building a successful organization.  

The Role:

As a Growth Operations Engineer at Peerspace, you will be the driving force behind scaling and optimizing our operational infrastructure through systematic innovation and growth hacking. This role sits at the critical intersection of business operations, process optimization, and technical automation. You will architect and implement scalable solutions that transform our customer operations, trust and safety, and sales workflows from manual processes into efficient, automated systems. Your mission is to identify operational bottlenecks, design data-driven solutions, and build robust technical infrastructure that enables exponential growth while maintaining service quality.

Working closely with cross-functional teams, you'll develop and deploy systems that not only streamline current operations but also create new capabilities for rapid scaling. Your work will directly impact our ability to handle increasing customer volume while reducing operational costs and improving team efficiency through smart automation and process optimization.

Responsibilities:

• Systems Integration: Design, implement, and maintain integrations between key operational systems and our product infrastructure. Create automated workflows that enhance efficiency and data accuracy across platforms.

• Technical Support Infrastructure: Develop and optimize internal tools that empower our customer support and trust & safety teams to respond faster and more effectively to user needs. This includes building custom solutions for case management, automated responses, and support analytics.

• AI Implementation: Architect and implement AI-powered solutions to enhance customer support efficiency, including automated response systems, intelligent ticket routing, and predictive analytics for customer issues.

• Data Analytics: Create and maintain dashboards and reporting systems that provide real-time insights into customer support metrics, team performance, and system health. Use data to identify areas for automation and improvement.

• Cross-functional Collaboration: Work closely with product, engineering, and operations teams to ensure seamless integration of support systems with our core product. Partner with customer success and trust & safety teams to understand their needs and implement effective solutions.

• Process Optimization: Continuously evaluate and improve support workflows, identifying opportunities for automation and efficiency gains through technical solutions.

Requirements:

• Technical Skills: Strong programming experience with proficiency in SQL and at least one modern programming language (Python, JavaScript, etc.). Experience with Laravel and Nuxt/Vue preferred. Experience with API integrations and webhook implementations.

• Systems Experience: Hands-on experience with customer support platforms (Intercom preferred), CRM systems, and ancillary software (MixMax, Zapier, Outreach, etc). Understanding of modern SaaS architecture and integration patterns.

• LLM/ML Knowledge: Familiarity with AI platforms and their practical applications in customer support contexts. Experience implementing and managing AI-powered solutions is a plus.

• Operations Background: 3+ years of experience in technical operations, customer operations, or similar roles where you've built or maintained support systems at scale.

• Analysis & Problem-Solving: Strong analytical skills with experience in data analysis and visualization tools. Ability to translate complex operational problems into technical solutions.

• Communication: Excellent written and verbal communication skills with the ability to effectively collaborate with both technical and non-technical stakeholders.

• Customer Focus: Deep understanding of customer support operations and how technology can enhance the customer experience.