Top Tech Jobs & Startup Jobs

Own growth and commercial performance of Remitly's ambassador community across Europe: recruit, onboard, train, retain ambassadors; run launches and local logistics; drive NCAs and customer activation; partner with legal, marketing, and country managers to adapt the global playbook and report program performance.

Partner with business leaders to implement People strategies, advise on staffing, total rewards, talent development, and retention. Lead onboarding, conduct learning sessions, support HR operations, improve People processes, ensure legal compliance, and use data to inform people and business performance while championing company culture.

Lead a team of analysts and data engineers to build and operate scalable ETL/ELT pipelines, design domain-specific data marts, deliver production-grade analytics, advise business leaders on data-driven strategy, manage resources and technical debt, and partner with cross-functional teams to ensure data integrity and real-time availability.

Lead GCC growth strategy and roadmap for payments, driving acquisition, activation, retention, and revenue. Partner cross-functionally with compliance, engineering, design, analytics, and operations. Use AI tools and rapid prototyping to accelerate product development, run experiments, and validate ideas. Navigate KYC/AML, fraud, FX, and regulatory constraints while mentoring PMs and aligning stakeholders on company-level OKRs.

Lead product analytics for new financial product initiatives: build business models, segment customers, create datamarts and dashboards, ensure data quality, design experiments, and surface insights using AI-enabled tooling to guide product decisions.

Design, implement, test, and operate end-to-end features for a production fintech platform. Lead technical design, write specs, mentor engineers, conduct reviews, and drive cross-team collaboration. Ensure reliability, security, observability, and participate in on-call rotations to own production systems.

Build and own detection tooling and logging/alerting systems, create and tune analytics for threat detection, investigate and triage incidents (on-call), drive incident response across teams, and help define and execute detection and response strategy with a detection-as-code mindset.

Design, build, and productionize real-time fraud detection models. Advance adversarial-domain techniques (graph, sequence, anomaly detection), design robust evaluation for biased/delayed labels, ensure low-latency reliable deployment, monitor models in production, and collaborate with data scientists and stakeholders to translate fraud signals into modeling solutions.

Lead and deliver complex, cross-functional fraud programs end-to-end: translate fraud signals into technical/product requirements, run risk assessments, own incident investigations and mitigation, partner with engineering and analytics, define metrics, and apply AI to automate and scale fraud controls.

No job description provided. Based on the title, the role likely involves designing, implementing, testing, and maintaining software, collaborating with product and engineering teams, performing code reviews, and contributing to system design and reliability.