Jobs - Jobs4Americans

Fetch is building the world’s most rewarding shopping experience, helping millions of consumers turn everyday purchases into value. As our platform grows, protecting the integrity of our ecosystem is critical to maintaining trust with users, partners, and the business.

The Trust & Safety Detection & Intelligence team is responsible for identifying, investigating, and disrupting fraud, abuse, and other threats across Fetch’s platform. This team combines investigative rigor, data-driven analysis, detection development, automation, and cross-functional strategy to understand emerging risks and drive scalable anti-abuse solutions.

As the Director, Trust & Safety Detection & Intelligence, you will lead the strategy, operating model, and execution systems for Fetch’s core fraud detection and threat intelligence function. You will be accountable for how Fetch detects emerging abuse, investigates complex threat activity, prioritizes risk, develops durable controls, and translates intelligence into product, policy, operational, and enforcement improvements.

You will partner with senior leaders across Product, Engineering, Data Science, Operations, Legal, Policy, GTM, Revenue, and other Trust & Safety functions to ensure Fetch can identify and respond to sophisticated abuse patterns with speed, accuracy, and strategic clarity. This role is ideal for a leader who can scale high-performing teams, build durable detection and intelligence systems, and influence company-level decisions that protect Fetch’s users, partners, and platform trust.

Role Responsibilities:

Lead the Trust & Safety Detection & Intelligence function, setting strategy, priorities, operating rhythms, success metrics, resource plans, and quality standards.
Build scalable systems to identify, assess, and respond to fraud, abuse, coordinated activity, policy evasion, incentive manipulation, account abuse, and emerging threats.
Own the detection rules layer and the binding fraud determination, setting and prioritizing detection and ML requirements and deciding whether observed behavior constitutes fraud or abuse.
Connect detection and intelligence priorities to business outcomes, including rewards economics, revenue integrity, partner trust, user trust, enforcement quality, and the safe scalability of Fetch's platform.
Drive the development and continuous improvement of detection logic, dashboards, analytical methods, automation, and analyst workflows to improve coverage, precision, and speed, applying machine learning and automation to signal discovery, triage, detection quality, and analyst productivity where it measurably improves outcomes and validating accuracy before any enforcement is automated.
Oversee complex investigations and intelligence programs that produce actionable findings and executive-ready risk assessments, and partner across Product, Engineering, Data Science, Operations, Legal, Policy, Product Risk, and Partner Integrity to translate them into durable product, policy, operational, and enforcement improvements.
Establish performance measures for detection quality, investigation outcomes, enforcement impact, detection lag, operational health, and residual risk, and develop senior analysts, investigators, and future leaders against high standards for rigor, documentation, decision-making, and escalation.
Partner across Product, Engineering, Data Science, Operations, Legal, Policy, Product Risk, and Partner Integrity to translate intelligence into durable product, policy, operational, and enforcement improvements.
Develop senior analysts, investigators, and future leaders while establishing high standards for investigative rigor, documentation, decision-making, escalation, and stakeholder communication.

Minimum Requirements:

10+ years of experience in fraud detection, investigations, threat intelligence, trust & safety, risk operations, cybersecurity, data analysis, or a related field, including leadership of complex programs with measurable business impact.
5+ years of people leadership experience managing senior analysts, investigators, technical ICs, or operational teams and developing high-performing leaders.
Proven experience building or scaling detection and intelligence operating models, workflows, quality standards, reporting systems, and performance metrics.
Strong analytical and technical fluency with large datasets, dashboards, SQL or SQL-like querying, case management and detection systems, and analytical tooling, including designing, writing, testing, tuning, and evaluating fraud rules or other detection logic.
Track record of partnering across Product, Engineering, Data Science, Operations, Legal, Policy, and business teams to deliver scalable anti-abuse or risk mitigation solutions.
Strong executive communication and judgment, with the ability to define ambiguous problems, align stakeholders, explain risk tradeoffs, and recommend clear action.

Preferred Requirements:

Leadership experience in fraud detection, threat intelligence, marketplace integrity, payments risk, loyalty or rewards abuse, cybersecurity, or a related risk domain.
Experience building detection systems, investigative workflows, escalation frameworks, automation, or operational playbooks in a scaled environment.
Familiarity with rules-based detection, Python, graph analysis, anomaly detection, machine learning-assisted workflows, or similar analytical methods.
Track record of identifying emerging abuse patterns early and translating intelligence into product, policy, operational, partner, or enforcement improvements.
Experience influencing senior leaders and balancing investigative depth, operational speed, enforcement quality, user trust, partner impact, and business objectives.
Experience with capacity planning, roadmap prioritization, tooling investment, or budget ownership for a growing function.

Compensation: At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. The base salary range for this position is $176,323-$207,439. Discover our benefits and how our employees live rewarded at https://fetch.com/careers.

Listed by Fetch Rewards for a position based in the United States. Employers on this board attest they are hiring domestically.

Mobile

98 days ago

Operating Partner, MobileFirst Ventures

The Mobile-First Company · Miami, Florida, United States

Pay

Not listed

Setting

Hybrid

Apply Sign in to favorite Permalink

Operating Partner, MobileFirst Ventures Location Miami Employment Type Full time Location Type Hybrid Department Go To Market Overview Application About The Mobile-First Company Most tools for small businesses weren’t built for real operators. They were built for employees in offices, not people running a business from their phone. We’re changing that. We build mobile-first business software that feels like a consumer app, runs on AI, and spreads like a creator brand. Our first product, Allo, gives you a second number on your phone, answers missed calls with AI, transcribes everything, and syncs it to your CRM. Over 20,000 businesses use it every day. Next up: expenses, invoicing, and more. We’ve raised +15 million dolars from Base10, Lightspeed, EMBLEM, and 30+ top operators. Our team is based in Paris, Buenos Aires, Miami. The role The Operating Partner runs our acquired service businesses day-to-day. You own the P&L. You manage the frontline teams. You make the calls that determine whether these businesses grow or stagnate. This is not a strategy role. Not M&A. Not advisory. You are the CEO of the businesses in our portfolio: accountable for revenue, margin, headcount, and customer experience from day one. You report directly to Jeremy, our CEO, and work closely with the founding team on new acquisitions and integrations. What you'll own Full P&L ownership across our portfolio of acquired service businesses Frontline team management: hiring, performance, culture, retention Building the operational playbooks: scheduling, SLAs, pricing, unit economics Driving EBITDA growth through cost discipline and service quality Evaluating and integrating new acquisitions alongside the CEO Deploying technology, including Allô, to make operations faster and leaner Who you are You've run something real. Not managed a team inside a big org. Not advised a portfolio company. You've owned a P&L, made payroll, you know what it feels like when the business is your problem. You can manage people who don't have laptops. Our businesses have technicians, cleaners, drivers, baristas. Leading them requires presence, clarity, and trust. You have more to prove than to protect. You want ownership, not a title. You make structure where there is none. That energizes you, it doesn't slow you down. You use AI tools to work faster. If you're not already using Claude, Cursor, or equivalent tools daily, this probably isn't the right fit. Spanish is a plus. What's mandatory You've owned a P&L: not managed it, owned it You've led frontline or mixed-skill teams (not just knowledge workers) You've operated inside a service business, rollup, or search fund portfolio company You use AI tools in your daily work Miami-based or willing to relocate. This role requires hybrid-physical presence. What we offer Equity package EBITDA sharing tied directly to the performance of the businesses you run Trips to our hubs (Miami / Paris / Buenos Aires) Team retreats abroad every semester A tight, ambitious team building something real, fast How to apply Click the Apply button on this page to send your application. No cover letter needed just tell us who you are and why this role fits you. Not the perfect match, but want to join us? Send a spontaneous application to talent@themobilefirst.co. We welcome people from all backgrounds. If you’re part of an underrepresented group in tech, we especially want to hear from you. Apply for this Job Powered by Privacy PolicySecurityVulnerability Disclosure

Listed by The Mobile-First Company for a position based in the United States. Employers on this board attest they are hiring domestically.

Select a role

The full posting opens here — pay, setting and the full description, without leaving the list.