Top Tech Jobs & Startup Jobs

Own end-to-end influencer and UGC campaigns: source and manage creators, write briefs, coordinate creative and product teams, analyze performance, iterate on tactics, and report results to directors. Move quickly in a news-driven crypto environment and improve execution quality and learning rigor across campaigns.

Lead Growth Engineering architecture and implementation: build Go-based data pipelines, audit/replace martech, create experimentation infrastructure, ship full-stack Go/TypeScript features, productionize ML, review team work, and apply AI-assisted development daily.

Partner with product teams to define success metrics, design and analyze A/B tests, build funnel and behavioral analyses, own event tracking specs, and translate results into product recommendations and documentation.

Own analytics for institutional counterparties, build account-level metrics (volume, flow composition, spread capture, fee/rebate economics), monitor counterparty health and concentration risk, quantify institutional impact on market quality, support negotiations with data-driven valuations, and operationalize recurring reporting with analytics engineers.

Own and build dbt models that convert raw on-chain/off-chain trading and third-party data into trusted datasets and core metrics. Partner with data engineers on warehouse performance and cost, create self-serve BI in Vercel and Hex, implement model tests and monitoring, model new products, and write thorough end-to-end documentation.

Own full-funnel growth analytics for a vertical (paid acquisition through repeat engagement). Advise marketing on spend efficiency and channel mix, size/prioritize opportunities, design and analyze experiments, build cohort/funnel/retention analyses, productionize recurring analyses with analytics engineers, and document end-to-end work for team use.

Lead investigations into fraud and abuse (multi-accounting, wash trading, collusion), build detection logic combining on-chain, device, and behavioral signals, convert investigations into monitoring and alerts, quantify financial exposure, partner on product controls and compliance, and productionize detection with analytics engineers.

Lead and scale the data platform organization (data engineering, analytics engineering, data science). Own architecture, roadmap, ingestion, transformation, trusted data models, SLAs, tooling decisions, and operating practices to ensure reliable, scalable pipelines and trusted metrics for business stakeholders.

Lead and grow an embedded analytics organization across growth, product, markets, finance, risk, and institutional. Define analytics strategy and standards, partner with business leaders to prioritize work, ensure consistent metrics and rigor, produce company-level reporting, and develop analysts into senior contributors and future leaders.

Build and own the finance reporting layer in the data warehouse, reconcile ledger and platform transactions, produce production-ready financial reports, analyze fee and promotion impacts on revenue and retention, support monthly close and forecasts, and document models and reports end-to-end.