The Role
Design, build, deploy, and improve AI-enabled tools, automations, integrations, and workflows for customer experience operations. Lead initiatives from discovery through launch and measurement, translate operational processes into system logic, evaluate AI quality, troubleshoot integrations, document solutions, and partner with CX, Product, Engineering, Data, and other teams to improve efficiency and customer outcomes.
Summary Generated by Built In
Small businesses represent 99.9% of all companies, yet they're still forced to choose between clunky, outdated enterprise phone systems or their personal phones. This multi-billion dollar market has been overlooked for decades, left to cobble together solutions that slow them down instead of helping them grow.
Quo is changing that. We bring calls, texts, and customer information together into one easy-to-use, AI-powered platform. We’re not just building a phone system. We’re setting a new standard for how businesses connect with their customers.
Driven by our values, we move fast, build with determination, and obsess over delivering value to the businesses that have been underserved for far too long.
Today, Quo is trusted by more than 120,000 companies and rated #1 in customer satisfaction on G2. We’re backed by Y Combinator, Tiger Global, Craft Ventures, Slow Ventures, and other top-tier investors. It’s safe to say we’re onto something big.
About the roleWe're looking for a Senior Operations Engineer, CX to design, build, deploy, and improve the technology-enabled systems that make our customer experience operations faster, more scalable, and more reliable. This isn't a traditional software engineering role — we need a senior builder and operator who can deeply understand an operational workflow, determine the right technical approach, build or orchestrate a solution, launch it, measure the outcome, and continuously improve it. You'll sit at the intersection of CX, Operations, Product, Engineering, and Data, independently leading complex initiatives that support cross-functional and company-level goals.
- Independently identify, prioritize, and lead high-impact operational initiatives from discovery through launch, measurement, and iteration
- Design, build, deploy, and maintain AI-enabled tools, agents, automations, and workflows that improve customer support and other CX operations
- Translate complex operational processes and policies into clear system logic, prompts, tools, escalation paths, and appropriate human-in-the-loop controls
- Use APIs, webhooks, workflow platforms, internal tools, and AI platforms pragmatically to connect systems and automate end-to-end workflows
- Build and improve LLM-powered workflows for use cases such as classification, routing, summarization, troubleshooting, suggested responses, quality assessment, and automated resolution
- Partner closely with frontline teams to understand workflow pain points and turn them into scalable systems and tooling improvements
- Work effectively with Product, Engineering, Data, Finance, and other partners, translating operational needs into clear technical requirements and helping cross-functional teams move faster
- Troubleshoot issues across integrations, prompts, workflows, and data flows, independently resolving what sits within the role and engaging Engineering when deeper product or infrastructure work is required
- Define success measures and evaluate the impact of AI and automation through metrics such as resolution rate, accuracy, quality, handle time, escalation rate, customer satisfaction, time savings, and operational efficiency
- Create practical evaluation methods, test cases, and quality controls to identify workflow failures, edge cases, hallucinations, and unintended customer impact
- Proactively surface opportunities for AI, automation, and systems improvements rather than relying on a backlog of requests
- Maintain clear documentation, runbooks, system logic, and governance practices for the solutions you own
- Stay current on emerging AI and automation capabilities and determine where they can create meaningful operational value
- Provide technical guidance, share context, and help raise the systems-thinking and execution bar across the broader CX Operations team
About you
- 5+ years of experience in operations engineering, automation, technical operations, solutions engineering, CX systems, RevOps, Marketing Ops, Support Ops, or a related discipline
- Demonstrated experience using AI, automation, integrations, or internal tooling to solve meaningful operational problems and ship solutions into real business workflows
- Experience owning complex initiatives independently from problem definition through implementation and measurable outcomes
- Experience partnering effectively with technical and non-technical stakeholders across multiple functions
- Strong systems thinking and the ability to translate ambiguous operational problems into clear, scalable solutions
- Practical experience working with REST APIs, webhooks, authentication, JSON, and system integrations
- Strong understanding of modern LLM capabilities, including prompting, tool use, structured outputs, human-in-the-loop workflows, and AI evaluation
- Ability to evaluate AI and automation quality, identify failure modes, and use data to determine what to improve or automate next
- Strong judgment and decision-making, including the ability to assess impact, complexity, risk, and appropriate escalation with incomplete information
- Strong cross-functional communication skills and the ability to speak comfortably with Engineering while translating technical concepts for operational and business stakeholders
- Strong project ownership, prioritization, and follow-through across multiple complex workstreams
- Customer-focused mindset with a deep interest in improving both frontline workflows and the end-customer experience
- Strong understanding of responsible AI practices, including data privacy, access controls, auditability, evaluation, and human escalation
- Experience in customer support, customer operations, or another high-volume operational environment is preferred, but not required
- Python or another scripting language for automation and tooling
- SQL, data modeling, or business intelligence experience
- Experience with Retool, Zendesk, n8n, Gumloop, Workato, Zapier, Make, or similar workflow and internal tooling platforms
- Experience with RAG, data pipelines, monitoring, logging, version control, or production support practices
- Experience with CX platforms such as Zendesk, Salesforce, Intercom, Ada, Twilio, or similar systems
- Deeper software engineering experience that enables stronger partnership with Engineering and greater independence on technically complex initiatives
Compensation
The annual base salary range for this position is as follow, plus equity and benefits:
- SF Bay Area, Los Angeles, Seattle, Portland, Boston, New York, and Washington, DC Metro: $130,000 - $170,000 USD
- All other US Locations: $120,000 - $150,000 USD
- Canada: $120,000 - $150,000 CAD
The ranges displayed reflect the target for new hire salaries, and within each range, individual pay is determined by your skills and experience, as well as relevant education. Your recruiter can share more and answer questions about the specific salary range during the hiring process.
Salary is just one component of Quo’s total compensation package. Your total rewards package will include equity, extensive medical coverage, a monthly lifestyle stipend, and a flexible PTO policy.
Who we areWe're a remote-first company with a culture of trust, autonomy, and action. As we rapidly grow, we're intentionally building communities in a handful of hub cities while continuing to hire great talent wherever they happen to live. If you're looking for a place to do your best work, we'd love to hear from you.
And remember, there's no such thing as a 'perfect' candidate. We're looking for optimists with grit and determination, who are excited to face the challenges of a growing startup. Quo is the type of company where you can grow, and we encourage you to apply for this role even if you don't think you meet all the requirements.
We are committed to creating an inclusive and diverse work environment. It is important that you are able to bring your authentic self to work every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #LI-Remote #PostLI
Skills Required
- 5+ years of experience in operations engineering, automation, technical operations, solutions engineering, CX systems, RevOps, Marketing Ops, Support Ops, or a related discipline
- Experience using AI, automation, integrations, or internal tooling to solve operational problems and ship solutions into business workflows
- Experience independently owning complex initiatives from problem definition through implementation and measurable outcomes
- Experience partnering with technical and non-technical stakeholders across multiple functions
- Strong systems thinking and ability to translate ambiguous operational problems into scalable solutions
- Practical experience with REST APIs, webhooks, authentication, JSON, and system integrations
- Understanding of LLM capabilities, prompting, tool use, structured outputs, human-in-the-loop workflows, and AI evaluation
- Ability to evaluate AI and automation quality, identify failure modes, and use data to prioritize improvements
- Strong judgment and decision-making under incomplete information
- Strong cross-functional communication skills, including communication with Engineering and operational stakeholders
- Strong project ownership, prioritization, and follow-through across complex workstreams
- Customer-focused mindset and interest in improving frontline workflows and customer experience
- Understanding of responsible AI practices, including data privacy, access controls, auditability, evaluation, and human escalation
- Experience in customer support, customer operations, or another high-volume operational environment
- Python or another scripting language for automation and tooling
- SQL, data modeling, or business intelligence experience
- Experience with Retool, Zendesk, n8n, Gumloop, Workato, Zapier, Make, or similar platforms
- Experience with RAG, data pipelines, monitoring, logging, version control, or production support
- Experience with CX platforms such as Zendesk, Salesforce, Intercom, Ada, Twilio, or similar systems
- Deeper software engineering experience for technically complex initiatives
Quo Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quo and has not been reviewed or approved by Quo.
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Fair & Transparent Compensation — Feedback suggests pay is positioned as fair and transparent, with the company stating it pays well and fairly with transparent compensation practices. Publicly stated bands and equity references indicate a structured approach.
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Healthcare Strength — Feedback suggests medical, dental, and vision coverage is comprehensive. This strong core health coverage underpins overall wellbeing support.
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Leave & Time Off Breadth — Feedback suggests time off includes unlimited PTO and sick leave, with pay continuing during these periods. Additional paid leave is available to care for loved ones or welcome a new family member.
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The Company
What We Do
Quo is a modern business phone system that brings all your calls, texts, and customer information together in one easy-to-use, AI-powered platform. It helps your team stay organized and respond faster, so you can give every customer a great experience. AI handles busywork like logging calls, organizing messages, answering FAQs, and seamlessly hands off conversations to your team when needed. Whether you’re running a small business or growing quickly, Quo makes it easy to stay connected and support more customers.
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