Top Tech Jobs & Startup Jobs

Design, implement, operate, test, and debug scalable backend services, including identity, social graph, and persistence systems. Collaborate across teams to deliver product features while optimizing availability, scalability, operational excellence, and cost. Participate in incident response and apply best practices to highly available systems operating at significant scale.

Own go-to-market strategy for Snap’s brand video solutions, developing positioning, sales enablement, advertiser insights, competitive intelligence, and performance narratives. Partner with Product, Sales, Marketing Science, and leadership to launch formats, improve advertiser experiences, define KPIs, drive adoption and revenue, and scale global marketing programs. The role requires expertise in brand advertising, digital monetization, social and CTV video, executive communication, and AI-enabled workflow automation.

Leads Snap’s public policy and government relations efforts across the Nordic region. Develops policy positions and advocacy strategies, represents Snap with governments and regulators, builds stakeholder coalitions, analyzes legislation, prepares policy and executive briefing materials, supports EU policy engagement, and partners with Legal, Communications, Sales, Product, and senior executives to manage regulatory risks and advance business priorities.

Develop, test, deploy, and support secure full-stack applications for Finance, Manufacturing, Supply Chain, and Operations. Build user interfaces, APIs, business logic, integrations, data models, and automated tests. Maintain integrations across ERP, MRP, MES, PLM, warehouse, procurement, finance, and analytics platforms. Collaborate with engineers and business stakeholders, monitor application health, investigate issues, and contribute to design, code reviews, CI/CD, documentation, reliability, and production support.

Build and operate secure, scalable full-stack applications supporting Finance, Manufacturing, Supply Chain, and Operations. Responsibilities include developing user interfaces, APIs, data models, integrations, automated tests, observability, and production support. The role partners with business and technical stakeholders, integrates ERP and manufacturing platforms, improves reliability and performance, and contributes to engineering standards, documentation, mentoring, and incident response.

Reviews abuse and safety reports, conducts complex investigations, applies policies, identifies emerging risks, and escalates issues. Partners with Legal, Policy, Engineering, vendors, and law enforcement; provides training and feedback; supports policy development; manages data and drives workflow improvements. The role requires handling disturbing content and working a full-time weekend shift, including holidays as needed.

Leads payroll operations across the Americas and APAC, overseeing multi-country processing, compliance, controls, funding, tax payments, reconciliations, providers, and audit readiness. Manages payroll professionals, partners with Accounting, Treasury, People Tech, and HR teams, and supports Workday integrations, RSU processing, system enhancements, country implementations, migrations, and process improvements. Coaches the team and drives accurate, timely, scalable payroll delivery.

Lead business intelligence initiatives supporting Snapchat’s Sales organization. Analyze data from multiple sources, identify campaign and industry trends, build dashboards and reports, deliver actionable revenue insights, and recommend optimization strategies. Partner with cross-functional teams on measurement strategies, product feedback, revenue programs, and growth initiatives. Communicate complex analyses to technical and non-technical audiences and influence business decisions through compelling data stories.

Build and operate large-scale ML infrastructure, including feature pipelines, model training and evaluation systems, high-performance inference services, data management platforms, and model orchestration tools. The role partners with ML engineers to deploy models into production, improve system reliability and efficiency, and maintain secure, scalable, production-ready services using Python, Java, and related AI technologies.

Build and operate large-scale machine learning inference infrastructure for recommendation models, embedding-generation models, and self-hosted LLMs. Responsibilities include model optimization, export, serving, hosting, LLM fine-tuning, reinforcement learning infrastructure, and inference performance improvements. The role supports highly available ML systems across Snap’s advertising, content, growth, camera, and other product teams.