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Sr. Data Engineering Manager (Remote)

Sr. Data Engineering Manager (Remote)

ZipRecruiterSan Francisco, CA, United States
16 days ago
Job type
  • Full-time
  • Remote
Job description

Job DescriptionJob Description

Senior Engineering Manager We’re looking for a strong data leader to build and scale our data function in a high-growth environment. You will lead data engineering, analytics engineering, and automation initiatives; owning everything from high-scale ingestion pipelines to AI agents that streamline workflows. This role is ideal for someone who thrives in early-stage (Series A–C) fintech or hedge fund environments and wants to have direct impact on business outcomes. What You’ll Do Data Platform & Pipelines

  • Own all ETL / ELT from external marketplaces and partners (listings, sold history, and transaction data).
  • Deliver broad coverage, freshness, and low-latency pipelines across APIs, feeds, and compliant web scraping.
  • Contribute to AI-driven detection, entity resolution, and robust outlier cleansing.
  • Set measurable SLOs for freshness, latency, and accuracy; implement monitoring, alerting, and runbooks.
  • Manage and expand the internal asset catalog to grow proprietary datasets.

Analytics Engineering

  • Lead the analytics engineering function, partnering closely with analysts.
  • Build a self-service metrics layer and executive dashboards covering GMV, liquidity, funnels, buyer / seller behavior, and ops SLAs.
  • Own the event taxonomy and product analytics in Amplitude.
  • Design and manage A / B experimentation frameworks.

    • Automation & AI Agents

  • Identify high-leverage manual workflows (QA, price suggestions, dispute resolution, KYC, payout reconciliation).
  • Deliver AI agents and automation systems to reduce manual work and increase efficiency.
  • Partner with Product, Ops, Risk, and Finance to prioritize automation by ROI and impact.

    • Leadership & Strategy

  • Lead and grow a multidisciplinary team spanning data engineering, analytics engineering, and automation / ML engineering.
  • Manage vendor relationships and budgets.
  • Translate business objectives into a clear roadmap with measurable quarterly outcomes.

    • Tech Stack You’ll Work With

  • Data Warehouse / Lake : Snowflake, S3
  • Orchestration & Streaming : Airflow, data streaming services
  • Ingestion : Airbyte, Fivetran, Scrapy, Playwright
  • Transformations & Quality : dbt, Great Expectations, Soda, data catalog
  • Search & Analytics : Typesense, Tableau, Metabase, Amplitude
  • Infra / DevOps : AWS, Terraform / IaC, GitHub Actions, Datadog
  • AI / Agents : OpenAI, Anthropic, Vertex AI, Langchain, Pydantic AI, embeddings, RAGs, evaluation / guardrails

    • What You Bring

  • 8–12+ years in data engineering / analytics, with at least 4+ years in hands-on leadership roles (managing managers and cross-functional teams).
  • Proven track record of building and operating large-scale data ingestion pipelines across diverse sources with strong SLAs.
  • Experience leading analytics engineering functions—partnering with analysts on metric definitions, experimentation, and executive reporting.
  • Strong proficiency in Python and SQL , with the ability to perform code reviews and contribute to schema / model design.
  • Experience implementing LLMs / agent systems in production with measurable outcomes.
  • Background in fintech, hedge funds, or marketplaces (pricing, risk, payments strongly ).
  • Startup experience in high-growth environments (Series A–C) with prior success scaling teams.

    • Compensation :

  • $185-$230k base salary + equity
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    Sr Manager Engineering • San Francisco, CA, United States