---
title: 'Director of Fraud & Compliance Operations at Quo'
canonical: 'https://feeny.ai/job/director-of-fraud-compliance-operations-quo-united-states-txr25f930zwt'
type: 'job'
last_seen: '2026-09-15'
---

# Director of Fraud & Compliance Operations at Quo

- **Company:** Quo
- **Location:** United States &, Canada
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-07-07
- **Last confirmed live:** 2026-09-15
- **Apply:** https://jobs.gem.com/quo/am9icG9zdDqxMY8pmOpSDSLTiOItT3i1

## Job description

## About the role

We're looking for a Director of Fraud & Compliance Operations to own the strategic vision and operational execution for the full lifecycle of fraud prevention and regulatory compliance at Quo.

This is not a siloed Compliance function. It sits at the intersection of Product, Engineering, Legal, Support, and carrier relationships — and the person in this role will be expected to operate across all of them. You'll lead a team of Compliance specialists, manage our most critical external partnerships, and be the final decision-maker on the highest-stakes cases that come through our platform.

You'll also set the strategy for where our fraud and compliance infrastructure goes next — our stack works today, but there's a real opportunity to rebuild it from first principles with the AI and agentic tooling now available. This is a hands-on role: we're looking for someone who will own the rules, workflows, and data themselves and be in the build, not just direct it.

You'll report directly to leadership and be a key voice in how Quo manages risk as we continue to grow. If you are passionate about building a fraud operations team at a high growth company, we want to hear from you!

Some of the things you’ll do:

Systems, Platform & Modernization

- Develop a point of view on what Quo's fraud and compliance infrastructure should be, and lead the rebuild — we're thinking in terms of a 6–12 month horizon to cut over, not a multi-year program
- Own the existing rules, workflows, and tooling in the meantime. The program cannot regress while you're redesigning it
- Design and ship AI and agentic workflows into review, investigation, and compliance operations — with the human-in-the-loop design and testing rigor that makes them defensible
- Partner with our data team on the data infrastructure this function needs, and with engineering on what gets built
- Make the build-vs-buy calls on tooling, and be accountable for them

Fraud Detection & Rule Management

- Own the fraud strategy across our tooling, review queues, and data pipelines
- Build, test, and tune detection rules — balancing catch rate against false positive impact — and be hands-on enough to do this yourself
- Own the feedback loop between manual review decisions and rule logic, and build a structured way to measure rule efficacy over time
- Drive continuous improvement across automation and manual review workflows
- Be the final call on complex, high-stakes cases — including compromised accounts, carrier-level violations, and high-value customer escalations
- Apply a consistent, policy-anchored framework while maintaining the judgment to know when to extend grace and when to be firm
- Partner with leadership on risk posture — how conservative or aggressive we want to be when decisions have to be made on imperfect information

Regulatory Compliance

- Maintain Quo's compliance posture across TCPA, A2P 10DLC, SHAFT content policy, STIR/SHAKEN, CCPA/CPRA, and evolving state-level telecom regulations
- Stay current on carrier policy changes, regulatory updates, and industry developments — and translate them into operational action before they become issues
- Own policy development, documentation, and enforcement across the platform
- Move compliance obligations out of people's heads and into systems — documented, monitored, and auditable
- Conduct root cause analysis on escalated incidents and maintain Quo's standing as a trusted, proactive compliance partner

## Team & Organizational Leadership

- Lead through the manager who owns day-to-day fraud and compliance operations, and develop the team of investigators and specialists beneath them
- Define what this function should look like as it scales, and make the case for the resourcing — data, automation engineering, headcount — to get there
- Own capacity planning, performance development, and the operating rhythm of the function

Cross-Functional Alignment

- Partner with Legal on regulatory inquiries, subpoena responses, and policy interpretation
- Work with Product and Engineering on compliance-relevant features — engaging on the product decision itself, not just flagging risk from the sidelines
- Collaborate with Support and CS on customer-facing compliance communications and high-value account handling

About you:

- 8+ years in fraud operations, financial crimes compliance, trust & safety, or telecom compliance — with at least 3 years leading a team
- Something you have personally shipped in the last year or two that uses AI or automation in a fraud, compliance, or operations context.
- Hands-on experience with fraud tooling (ideally Sift or comparable platforms) and data-driven rule management — you tune the rules, not just approve the changes
- Self-sufficiency with data. You can get to your own answers in SQL or a BI tool.
- Deep familiarity with at least one of the following regulatory frameworks: TCPA, A2P 10DLC/carrier compliance, SHAFT content policy, AML/KYC, or financial crimes compliance
- Demonstrated ability to make high-quality decisions under uncertainty on complex, ambiguous cases
- Strong written communication — you'll be corresponding with ecosystem partners, responding to regulatory inquiries, and setting the tone for customer communications
- A track record of operating without much scaffolding — building the program while running it

Strongly Preferred

- Background in fintech, or at a venture-backed technology company where compliance had to move at product speed
- Experience with high-velocity SMB or consumer compliance — where the program is optimized for speed and user experience and partners closely with product on launches
- Experience with content classification, AI-assisted fraud detection, or agentic and LLM-based tooling in a compliance workflow
- Familiarity with Snowflake, dbt, or comparable data tooling for monitoring and investigation
- Experience overseeing BPO or distributed operations teams
- Background working in a high-growth startup or scale-up environment where the program was still being built

## Nice to have

- Telecom, CPaaS, or VoIP compliance experience, or time as a carrier or telephony ecosystem partner. Genuinely a nice-to-have — the telecom-specific parts of this job are learnable, and we would rather hire the right operator than the right domain

## 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: $198,000- $233,000 USD
- All other US Locations: $178,000 - $210,000 USD
- Canada: $175,000 - $206,000 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.

## About Quo

## Company Overview
- **One-liner**: Quo (formerly OpenPhone) provides a shared business phone and inbox with AI capabilities to help small businesses manage customer communications and build stronger relationships.
- **Entity Type**: Private (startup; backed by Y Combinator; raised $105M in recent funding)
- **Headquarters**: Remote-first; historically based in San Francisco, CA, USA (inferred from OpenPhone history)
- **Founded**: 2018
- **Founders**: Mahyar Raissi and Daryna Kulya

## Core Business
- **Primary industry**: Business communication software (VoIP, AI-powered customer engagement)
- **Target customers**: B2B, primarily small and medium businesses (SMBs)
- **Mission**: To fuel an economic renaissance by giving the 99.9% of businesses that are small the modern, intuitive tools they need to make a lasting impact

## Products & Services
- **[Quo Platform]**: A unified business phone and inbox for calls, texts, and customer management. Includes AI agent Sona, custom call flows, multi-level phone menus, and integrations with Salesforce, HubSpot, Jobber, and Make. (SaaS)
- **[Sona AI]**: An AI front-office partner that answers calls, captures details, and helps with sales, support, and every customer conversation. Included on all plans with 10 free calls per month.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding – at least $105M raised in a recent round (specific series not disclosed); 90K+ businesses on the platform; 1B+ calls and messages sent
- **Notable Investors/Partners**: Y Combinator (accelerator); integrations with Salesforce, HubSpot, Jobber, Make
- **Growth Signals**: Rebranded from OpenPhone to Quo; launched major AI update (Sona); ranked #1 customer satisfaction on G2 (4.7 stars); raised $105M to accelerate vision

## Competitive Advantages
- **AI-first approach**: Sona AI is included on all plans, providing automated call handling and customer engagement out of the box.
- **Unified communications**: Combines calls, texts, and customer data in one platform, eliminating the need for separate tools.
- **High customer satisfaction**: Consistently top-rated on G2 for customer satisfaction.
- **Remote-first culture**: Built distributed from day one, with transparent compensation and strong perks.

## Strategic Focus
- Expanding AI capabilities for the front office (sales, support, customer relationship management).
- Deepening integrations with CRM and business workflow tools.
- Scaling globally to serve more small businesses and displace legacy phone systems.

## Why Work Here
- **Remote-first from day one**: Work from anywhere with annual in-person offsites (e.g., San Diego).
- **Competitive compensation**: Transparent pay, competitive equity, and a $1,000 home office setup budget.
- **Comprehensive benefits**: Health, dental, vision; unlimited PTO and sick leave; paid family leave; retirement support (varies by country).
- **Learning & wellness**: $3,000/year L&D stipend; $200/month wellness stipend.
- **Culture**: Described as passionate, determined, and excited about the challenges of a rapidly growing startup. Interview process typically takes 4–6 weeks and includes recruiter screen, hiring manager, team interviews, a possible project, and a final leadership interview.

## Sources
1. [quo.com/careers](https://www.quo.com/careers)
2. [quo.com/about](https://www.quo.com/about)
3. [quo.com/new-chapter](https://www.quo.com/new-chapter)
4. [glassdoor.com](https://www.glassdoor.com/) (general careers page)

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