Senior Product Manager - Payouts

What I will be doing?

• Own the vision, strategy, roadmap and execution for Payouts Operations products, including operational tooling, workflows, monitoring, and internal platforms that support global payouts at scale.
• Make end‑to‑end automation a core lever for impact: identify manual, error‑prone processes and design automation strategies (rules, workflows, agents, integrations) that reduce human touch, incident risk, and handling time.
• Partner closely with Payouts Operations, Payouts Product, Engineering, Data, Compliance, and Finance to deeply understand operational pain points and transform them into clear product opportunities.
• Design and ship high‑impact improvements quickly, prioritizing initiatives that reduce manual work, incident rates, and time‑to‑resolution, while improving speed, accuracy, and cost of payouts.
• Define and instrument key operations and performance metrics to guide decisions and demonstrate impact.
• Build and evolve internal tools and processes for case management, workflows, playbooks, exception handling, reversals, and reconciliations to make our operations more predictable, automated, and auditable.
• Work with Ops leaders to standardize and continuously improve processes, aligning product changes with training, documentation, and change‑management so that new capabilities and automations are truly adopted.
• Act as the voice of Payouts Operations within Product, ensuring operational resilience, efficiency, and automation potential are embedded in our payouts roadmap and platform decisions.
• Do whatever it takes – from deep‑dive analysis to hands‑on discovery with Ops – to unblock the teams and ensure commitments are delivered.

What skills do I need?

• Proven experience (5+ years) as a Senior Product Manager in fintech, payments, or high‑volume transactional systems, with a track record of shipping products that deliver clear, measurable impact.
• Demonstrated ability to deliver results quickly in complex environments: you can take ownership of a problem, ramp up fast, and produce meaningful improvements in short time frames.
• Strong operations mindset: experience working closely with internal Operations teams (ideally payouts, payments, or financial operations) and familiarity with internal processes, SLAs, and controls.
• Proven experience designing and scaling automation in operational workflows (e.g., rules engines, queues and routing, auto‑triage, bulk actions, self‑service tools, or L1 automation).
• Deep outcome‑ and metric‑driven approach: you manage to performance, define clear success metrics, and use data to prioritize and validate decisions.
• Excellent stakeholder management skills: proven record influencing and aligning cross‑functional partners (Operations, Engineering, Data, Compliance, Finance, Commercial) around a shared roadmap.
• Strong prioritization skills and use of structured techniques (e.g., impact/effort, RICE, cost‑of‑delay, constrained capacity planning) to focus teams on the highest‑leverage work.
• Experience with payments or payouts flows (bank transfers, local rails, alternative payment methods, reversals, reconciliations) is a strong plus.
• Comfortable working with technical products: you can discuss architecture and trade‑offs with engineers, understand APIs and data models, and translate operational needs into crisp requirements.
• Excellent written and oral communication skills in English; Spanish is a plus.

What will help you stand out?

• Experience building or evolving internal platforms for operations, such as case management tools, work‑allocation/queueing systems, or alerting/monitoring and incident‑response workflows.
• Background in payouts, treasury operations, or financial operations in emerging markets.
• Hands‑on experience partnering with Data/ML teams on performance and automation initiatives (e.g., anomaly detection, auto‑triage, smart assignment, or workload optimization).
• Experience bringing AI‑driven automation to operational workflows (e.g., agents for L1 investigations, auto‑summaries, suggested actions, or narrative generation for incidents and reversals).
• Strong facilitation skills for process discovery and redesign, using techniques like service blueprints, journey mapping, and value‑stream mapping to identify bottlenecks and automation opportunities.