Senior Engineering Manager, Risk Platform

Trustly•San Francisco, CA
•$226,000 - $340,000•Hybrid

About The Position

Trustly is hiring a Senior Engineering Manager, Risk Platform to own product strategy for its risk decisioning and collections platforms and run the operating rhythm for the Data and Risk organizations. Trustly guarantees payments in North America, and these platforms support payment approvals and recovery. The role focuses on planning, delivery, risk operations, and compliance work across the organization. The position owns the roadmaps for the risk decisioning and collections platforms, including the real-time decision engine, decision-time data and scores, configurable rules, collections workflows, consumer communications, reconciliation, vendor integrations, and risk operations tooling. It partners with engineering, data science, data platform, portfolio risk management, compliance, and legal to guide architecture, delivery, production models, and regulatory requirements. The role also manages Data and Risk planning and operating cadence, tracks tasks, compliance deliverables, hiring, headcount, budgets, and vendor spend, and prepares executive and board materials. It hires, manages, and develops risk and collections product managers and operations staff, and establishes product management standards across Risk. The role is based in San Francisco or New York and requires three days a week in the office.

Requirements

  • At least 10 years of product management experience, including at least 5 years leading risk, fraud, or collections products in payments or financial services.
  • Experience building real-time decisioning platforms, including rules engines, model scores in the decision path, and rule authoring with simulation and rollback.
  • Experience leading product managers and partnering with engineering on architecture, build-versus-buy decisions, and delivery.
  • Experience shipping machine-learning-driven products with data science teams.
  • Experience translating regulatory and compliance obligations into product requirements with Compliance and Legal.
  • Experience running planning and operating cadence for a multi-team organization, including OKRs, headcount, budget, business reviews, and executive and board materials.
  • Data and analytics fluency, with judgment to identify when a number is incorrect.
  • Ability to work in the office three days a week in San Francisco or New York.

Nice To Haves

  • ACH or EFT domain expertise; experience with open banking or account-to-account payments.
  • Product or operations experience in collections and recovery, including agency and vendor management.
  • Background in chief of staff, strategy and operations, or technical program management.
  • Experience using AI to automate operational workflows and reporting.
  • Bachelor's degree or equivalent experience; an MBA is a plus.

Responsibilities

  • Own product strategy and roadmaps for the risk decisioning and collections platforms, tied to approval rate, loss, and recovery rate.
  • Lead the risk decisioning platform, including its real-time decision engine, scoring path, latency and availability, decision-time facts and scores, and self-service rule and threshold authoring with versioning, simulation, test mode, and rollback.
  • Lead the collections platform, including representment, retry and recovery workflows, consumer communications, reconciliation, and collections agency and vendor integrations within applicable regulations.
  • Lead risk operations tooling, including alert and case management, manual review queues, and per-merchant risk settings.
  • Partner with Risk Engineering on architecture, build-versus-buy decisions, release planning, and delivery; run a shared prioritization process across both platforms.
  • Translate risk requirements and regulatory obligations into product requirements and launch criteria with Portfolio Risk Management, Risk Data Science, Compliance, and Legal.
  • Define with Risk Data Science and Data Platform how models and features reach the production decision path.
  • Maintain a central tracker of operational tasks, owners, and due dates across Data and Risk; monitor critical risk operations and compliance deliverables, and escalate items at risk of delay.
  • Follow up with task owners to ensure critical items are completed on time; send status updates to the Chief Data and Risk Officer and escalate blockers.
  • Run Data and Risk leadership meetings, monthly business reviews, and quarterly readouts; track decisions and actions through completion.
  • Run annual and quarterly planning for Data and Risk, including OKRs, roadmaps, headcount, and budget, in partnership with Finance and People.
  • Track hiring, headcount, and spend against plan.
  • Manage data, risk, and collections vendors with Procurement, Finance, and Legal, including selection, contract renewals, and spend.
  • Prepare executive and board materials for the Chief Data and Risk Officer.
  • Lead cross-functional programs and special projects across Data and Risk.
  • Bring AI and automation into status reporting, planning, and team workflows.
  • Hire, manage, and develop risk and collections product managers and operations staff.
  • Set product management standards across Risk for requirements, launch reviews, and post-launch measurement.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service