Alpaca
Product Manager, Clearing Systems
Remote - Americas +1 · Remote · Manager · Full-time · Posted Aug 18, 2026
- Location
- Remote - Americas
Remote - United States - Experience
- 5+ years in the specified product, program management, or engineering roles; 10+ years in the specified financial infrastructure or capital markets fields.
About the job
Own the product lifecycle and architecture for Alpaca’s clearing infrastructure, building scalable, compliant brokerage, custody, ledger, settlement, and multi-currency systems.
What you'll do
- Define clearing-platform architecture across accounts, positions, balances, ledgers, settlements, stock record, and regulatory books and records.
- Partner with engineering to prototype and build clearing services, and translate clearing, custody, and regulatory needs into product requirements.
- Coordinate with operations, finance, treasury, compliance, legal, risk, and product to support a scalable, controlled, regulator-ready global platform.
What they ask for
- 5+ years in Product Management, technical program management, or engineering on brokerage, clearing, or post-trade infrastructure.
- 10+ years in brokerage, clearing, custody, prime brokerage, trading infrastructure, financial market infrastructure, or capital markets technology.
- Depth in at least one clearing area: settlement and stock record, books and records, corporate actions, margin, ACATS, or DTCC processing.
- Ability to work directly with engineers on scalable system designs and ship alongside Compliance, Legal, and Operations in a regulated broker-dealer environment.
Nice to have
- Built, converted, or modernized corporate-action processing, a security master, or a self-clearing back office.
- Experience with global brokerage expansion, B2B2C correspondent / broker-as-a-service models, or recurring AI-native PM workflows.
Pay
USD $500 one-time (home-office setup); USD $150 per month (stipend)
Tools
Cursor, Claude, ChatGPT, DTCC, OCC, FICC, ACATS
AI focus
Nice-to-have: recurring use of AI tools or custom agents for PRD drafting, incident synthesis, data exploration, and prototyping.
Model-written summary · the original posting is authoritative