Jobs at Yolando

Manage client relationships and execute AI visibility go-to-market programs. Run discovery sessions, build tailored GTM plans, produce content, present deliverables, track performance, and collaborate with product/data teams to scale execution using AI tools.

Outbound-focused BDR role responsible for building pipeline via cold email, LinkedIn outreach, cold calling, and multi-touch sequences. Research target accounts, identify buyers, craft personalized outreach using competitive intelligence, book qualified demos, and iterate on messaging with the CEO.

Lead 0->1 B2B growth by designing scrappy, data-driven distribution plays and high-velocity experiments across acquisition, activation, and retention. Own the AEO narrative, run creative growth hacks (benchmarking tools, scraping, competitor analysis), operationalize founder-led thought leadership, build the growth tooling stack, and measure attribution to drive lead quality and conversions.

Own a portfolio of clients to improve AI visibility (GEO) and retention. Lead biweekly engagements, analyze Yolando platform data to produce strategic recommendations, partner with content to drive AI-citable content, build repeatable playbooks, deliver executive reporting, master AI tooling, and identify upsell opportunities to grow accounts.

Design, build, and maintain Databricks/Spark ETL pipelines and Bronze-Silver-Gold architectures; implement event-driven streaming with Pub/Sub and Protocol Buffers; prepare datasets for LLM fine-tuning and embeddings; integrate third-party sources (Shopify, Klaviyo); implement attribution, CLV, and analytics models; ensure data quality, monitoring, and idempotent retry-safe pipelines.

Lead product and brand design on a freelance basis: produce developer-ready UX/UI in Figma, build and maintain design systems, craft intuitive user flows, conduct design research, collaborate with PMs and developers, and ensure on-brand visual assets across product and marketing.

Lead design and implementation of production AI/LLM systems and scalable FastAPI backends, implement embedding-based semantic search with PostgreSQL/pgvector, build WebSocket real-time collaboration, own GCP/Kubernetes infrastructure (KEDA, Terraform), and mentor engineers while driving architectural decisions and feature rollouts.

Build full-stack features across a Next.js frontend and FastAPI backend, implement responsive React UIs, integrate AI-powered workflows and streaming responses, consume auto-generated OpenAPI clients, write tests and optimize performance, and collaborate on code reviews and product design.