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Clera
Staffing & Recruiting
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This is an end-to-end ownership role over a core operational domain, reporting directly to the COO at an AI-native, stablecoin-based clearing and banking platform built for global fintechs and financial institutions. You will design, automate, and scale the systems that make operations run hands-off, measuring success by volume growth with flat headcount rather than team size.
Own one operational domain end-to-end: customer operations, payment operations, or fincrime operations, running it like a product team from day one.
Perform the manual work yourself in the first couple of months, sitting in the queue to identify exactly where processes break and defining the KPIs that prove the system works.
Ship the first wave of automations within a few months, proving the operating model on a live cohort and driving measurable volume lift.
Scale agents across your domain so that humans handle only the highest-risk decisions while the long tail runs hands-off.
Spec agents and shape tooling directly alongside Engineering and Product, collaborating on real decisions rather than filing tickets.
Draft, defend, and continuously improve escalation paths, SOPs, and operational metrics.
3 or more years building products or processes at a bank, fintech, payments, or crypto company, or tier-1 consulting experience with regulated financial services exposure.
Production automations or agents shipped and running in live environments today, not proofs of concept.
Hands-on experience performing operational work such as queue management, case handling, or transaction processing to understand process pain points firsthand.
Experience designing end-to-end operational domains including process design, SOP creation, KPI definition, and tooling selection.
Strong background working directly with engineering and product teams to spec and build operational tooling and systems.
Familiarity with compliance, risk, fincrime, payment operations, clearing, or settlement workflows is a strong plus.
Experience with AI agents, LLMs, or intelligent automation systems is a plus.
Automation-first mindset: your first instinct is to build a system, not to add headcount.
High agency, ownership mentality, and comfort operating in ambiguity without an established playbook.
Based in New York or willing to relocate.
Base salary: $180,000 to $220,000 USD annually. Visa sponsorship is available.
On-site in New York, NY, USA.
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Marcus Rivera
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