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Growth Operations Engineer

AI Summary
Peerspace is seeking a Growth Operations Engineer to scale customer operations, trust and safety, and sales workflows through technical automation. The role combines software development, systems integration, support tooling, analytics, and AI-enabled workflow design. The successful candidate will build integrations, internal tools, dashboards, automated ticket routing, and operational infrastructure in collaboration with product, engineering, and operations teams. Core requirements include SQL, a modern programming language, APIs and webhooks, SaaS support platforms, and experience improving support systems at scale.
Remote from
USA
Salary
USD 110k–120k / yr
Employment
Full Time
Experience
Open level
Published
Apply before
8 Dec 2026
Listing views
36
Application actions
1
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Opportunity details

About this role.

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.

Working At Peerspace

The annual salary range for this role is $110,000 to $120,000. The actual salary amount will vary depending on the applicant’s experience, skills, and abilities as well as internal equity and market data.

Peerspace is proudly certified as a Great Place to Work™ and we’re a remote first company with team members located in cities around the globe. Beyond competitive salary and equity compensation, we provide a range of benefits and perks, including:

● 100% employee coverage of medical, dental and vision insurance

● Discount on all Peerspace bookings

● Laptop, high res display, and stipend to setup home office

● Monthly cell phone and internet credit

● Annual In person all company offsite and team-building events (in Peerspace locations, of course)

● Wellness Days observed company wide

Diversity

At Peerspace, we’re dedicated to creating a team that’s diverse, equitable and inclusive. Our workplace is a space where all team members are empowered to blaze their own trail, make things happen, and take pride in their work. We believe bringing people together from different backgrounds and identities makes us stronger and better serves the Peerspace community. We’d especially like to encourage applicants from different backgrounds, locations, and experiences.

At Peerspace, we are committed to maintaining a secure and transparent hiring experience. Please be aware that scammers sometimes impersonate companies like ours by posting fake job listings or reaching out to job seekers in misleading ways. All legitimate communication from Peerspace will come from an official @peerspace.com email address. We do not contact candidates through personal email accounts, third-party messaging apps such as WhatsApp or Microsoft Teams, or through the Peerspace platform’s internal messaging system. All interviews are conducted only by phone or Zoom, and we will never ask for sensitive personal or financial information such as your Social Security number or bank details during the early stages of the hiring process. If you receive any message that seems suspicious or does not align with these practices, please contact us immediately at help@peerspace.com so we can investigate. We only post our job openings and process applications, through our official careers page at https://jobs.lever.co/peerspace.

Compensation

Additional Information

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This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThe role requires translating ambiguous operational bottlenecks into reliable technical systems across several business functions. It combines engineering execution with data analysis, AI implementation, and high-stakes stakeholder coordination.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$115,000
US market range (per year)$105k–$145k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer explicitly states a yearly base-salary range of $110,000–$120,000 USD, with a midpoint of $115,000. Estimated US market compensation for a growth operations engineering role with similar systems-integration and automation responsibilities is approximately $105,000–$145,000 per year.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
Describe an operational workflow you automated from end to end.

I would begin by mapping the current process, measuring volume, error rates, and cycle time, then identify decisions that can be standardized. I would implement integrations and monitoring incrementally, validate outcomes with users, and track metrics such as resolution time, throughput, and exception rate after launch.

How would you design an integration between a support platform and a CRM?

I would define the source of truth for each field, event triggers, data mappings, identity resolution rules, and retry behavior. I would use secure API authentication, idempotent webhook processing, structured logs, alerting, and a reconciliation process to detect failed or duplicate updates.

How would you evaluate an AI-powered ticket-routing or response system?

I would establish a baseline for routing accuracy, handling time, escalation rate, customer satisfaction, and policy-compliance errors. I would launch with constrained use cases and human review, monitor model outputs and drift, and expand automation only when quality thresholds are consistently met.

What metrics would you include in a customer support operations dashboard?

I would include ticket volume by channel and issue type, first-response time, resolution time, backlog age, SLA attainment, reopen rate, escalation rate, automation containment, CSAT, and agent workload. The dashboard should allow segmentation by customer type, workflow, and time period to identify bottlenecks.

How do you collaborate with non-technical operations stakeholders when defining a technical solution?

I use workflow mapping and concrete examples to clarify pain points, inputs, decisions, and desired outcomes. I document assumptions and success metrics in accessible language, share prototypes early, and create feedback loops so the delivered system matches how the team actually works.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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