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Recently posted jobs
eCommerce • Mobile
Hands-on paid acquisition lead managing daily operations across Meta, Google/YouTube, TikTok, Snap and tests. Responsibilities include media planning, campaign setup/QA, pacing/forecasting, optimization against CPI/CPM/CTR/CVR, diagnostic reporting, disciplined testing, creative coordination, platform troubleshooting, and documentation to drive scalable, measurable growth.
eCommerce • Mobile
Lead full sales cycle for small-to-mid brick-and-mortar businesses: prospect, pitch, close, onboard, and grow revenue. Build and manage pipeline, forecast bookings, perform outbound prospecting, report activity in Salesforce, and collaborate with Product, Marketing, and Ops. Work hybrid in Bellevue.
eCommerce • Mobile
Lead and manage the product marketing team while executing consumer lifecycle and growth campaigns across push, email, and in-app channels. Use SQL, BigQuery, and AI/LLM tools to analyze demand/supply signals, design experiments (Statsig), own positioning and GTM launches, enable cross-functional partners, and build repeatable playbooks that drive measurable marketplace transactions, GMV, listings, activation, engagement, and reactivation.
eCommerce • Mobile
Build and deploy end-to-end features across web and backend: implement React/TypeScript frontends, Java/Node.js microservices, integrate GraphQL/REST APIs, run experiments, monitor production, participate in on-call, mentor juniors, and collaborate with product, design, and data.
eCommerce • Mobile
Design, build, and operate multi-account AWS/GCP cloud infrastructure and CI/CD platforms using Terraform, Kubernetes (EKS/GKE), GitOps, and ArgoCD. Own observability, security, secrets, and cost optimization; run on-call, lead migrations, enable AI/ML developer tooling, and mentor engineers while shaping platform standards and templates.
23 Days AgoSaved
eCommerce • Mobile
Lead and build high-throughput microservices and distributed systems, define multi-quarter technical roadmaps, ship data-driven features, mentor engineers, drive experimentation and A/B testing, ensure reliability/observability, partner with product and design, and champion AI tooling adoption across the team.



