Senior Engineering Manager - REMOTE - SmartTech Staffing Partners
Role Overview
We 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 partners
Maintain high standards for data freshness, latency, and accuracy through robust SLAs
Build scalable infrastructure with monitoring, alerting, and incident response
Manage and expand our internal asset catalog and proprietary datasets
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Lead the analytics engineering function from the ground up
Deliver a centralized, self-serve metrics layer and executive dashboards (GMV, liquidity, funnel performance, SLAs)
Own taxonomy and experimentation design within Amplitude and other tools
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Identify manual workflows across listing QA, pricing, customer support, KYC, and payouts
Prioritize automation efforts by ROI and partner closely with Product, Ops, Risk, and Finance
Build and deploy LLM-powered agents to streamline and scale operations
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Grow and manage a multidisciplinary team across data, analytics, and ML engineering
Oversee budgets, vendors, and technical partnerships
Translate business goals into a clear, outcomes-driven quarterly roadmap
Our Tech Stack
Data & Pipelines: Snowflake, Airflow, Airbyte/Fivetran, dbt, Great Expectations/Soda, Typesense, Python
Infra & DevOps: AWS, Terraform, GitHub Actions, Datadog
Analytics: Tableau, Metabase, Amplitude
AI & Agent Frameworks: OpenAI, Anthropic, Vertex AI, Langchain, Pydantic AI, RAG, guardrails
What We're Looking For
Must-Haves:
8 12+ years in data engineering/analytics, including 4+ years in leadership roles
Proven experience building and maintaining scalable data ingestion systems with strong SLA performance
Hands-on expertise in analytics engineering, including metrics modeling, experimentation, and executive reporting
Proficient in Python and SQL, with strong data modeling and code review skills
Real-world experience shipping LLM-powered tools or agentic systems that drove measurable business impact
Deep familiarity with tools like AWS, Airflow, and AI frameworks such as Langchain or Pydantic AI
Preferred:
Experience scaling teams in high-growth startups
Background in marketplaces, fintech, or e-commerce (pricing, risk, or payments)
Familiarity with collectibles or alternative asset marketplaces
Exposure to operational workflows and automation in a product-driven environment
This 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.