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

• 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

• 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

• 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

• 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.