Senior Engineering Manager - REMOTE

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.