Senior Engineering Manager - REMOTE - SmartTech Staffing Partners

[ad_1] Role OverviewWe re hiring a hands-on, technical leader to drive our data platform, analytics engineering, and AI/automation strategy. In this role, you'll set the technical direction, architect scalable systems, and lead cross-functional teams to eliminate operational bottlenecks and accelerate growth using AI-driven solutions. This is a unique opportunity to blend deep technical work with strategic leadership shaping the future of data and automation at scale. Key Responsibilities< data-start='770' data-end='806'>Data Platform & Pipelines>Own the full lifecycle of data ingestion (ETL/ELT) from third-party marketplaces and partnersMaintain high standards for data freshness, latency, and accuracy through robust SLAsBuild scalable infrastructure with monitoring, alerting, and incident responseManage and expand our internal asset catalog and proprietary datasets< data-start='1153' data-end='1185'>Analytics Engineering>Lead the analytics engineering function from the ground upDeliver a centralized, self-serve metrics layer and executive dashboards (GMV, liquidity, funnel performance, SLAs)Own taxonomy and experimentation design within Amplitude and other tools< data-start='1447' data-end='1480'>Automation & AI Agents>Identify manual workflows across listing QA, pricing, customer support, KYC, and payoutsPrioritize automation efforts by ROI and partner closely with Product, Ops, Risk, and FinanceBuild and deploy LLM-powered agents to streamline and scale operations< data-start='1748' data-end='1781'>Leadership & Execution>Grow and manage a multidisciplinary team across data, analytics, and ML engineeringOversee budgets, vendors, and technical partnershipsTranslate business goals into a clear, outcomes-driven quarterly roadmapOur Tech StackData & Pipelines: Snowflake, Airflow, Airbyte/Fivetran, dbt, Great Expectations/Soda, Typesense, PythonInfra & DevOps: AWS, Terraform, GitHub Actions, DatadogAnalytics: Tableau, Metabase, AmplitudeAI & Agent Frameworks: OpenAI, Anthropic, Vertex AI, Langchain, Pydantic AI, RAG, guardrailsWhat We're Looking ForMust-Haves:8 12+ years in data engineering/analytics, including 4+ years in leadership rolesProven experience building and maintaining scalable data ingestion systems with strong SLA performanceHands-on expertise in analytics engineering, including metrics modeling, experimentation, and executive reportingProficient in Python and SQL, with strong data modeling and code review skillsReal-world experience shipping LLM-powered tools or agentic systems that drove measurable business impactDeep familiarity with tools like AWS, Airflow, and AI frameworks such as Langchain or Pydantic AIPreferred:Experience scaling teams in high-growth startupsBackground in marketplaces, fintech, or e-commerce (pricing, risk, or payments)Familiarity with collectibles or alternative asset marketplacesExposure to operational workflows and automation in a product-driven environmentThis is a remote-first position with high ownership, strategic visibility, and the opportunity to build truly transformative systems at the intersection of data and AI. Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity. [ad_2] Apply to this job