Engineering Manager - Data, Analytics, & Automation - Alt
The Job SauceDenver, CO, US20 hours ago
Job type
- Full-time
Job descriptionLead the analytics engineering function and partner closely with the Analytics team (analysts). Provide a clear, self-servable metrics layer and executive dashboards for GMV, liquidity, funnels, seller / buyer behavior, and ops SLAs. Own the event taxonomy and product analytics in Amplitude; design A / B experiments. Map high-leverage manual workflows (e.g., listing QA, price suggestions, dispute / CS routing, KYC review, payout reconciliation) and deliver AI agents to replace manual workflows. Partner with Product, Ops, Risk, and Finance to prioritize automations by ROI and shipped impact. Building cross organizational workflows. Lead and grow a multidisciplinary team (data engineering, analytics engineering, and automation / ML engineers). Manage vendors and budgets for the department. Translate business goals into a clear roadmap with quarterly outcomes. Warehouse / Lake : Snowflake; object storage ( / S3). Full text search databases : Typesense Orchestration : Airflow; Data streaming Transformations & Quality : dbt; Great Expectations / Soda; data catalog. Ingestion : Airbyte / Fivetran plus custom Python (Scrapy / Playwright) with proxy mgmt. Analytics : Tableau, Metabase (core BI) and Amplitude (taxonomy, funnels, experiments). Infra / Dev : AWS; Terraform / IaC; GitHub Actions; Datadog AI / Agents : OpenAI / Anthropic or Vertex AI; MCPs, Agentic Frameworks (Langchain, Pydantic AI); Embeddings model, RAGs; evaluation / guardrails frameworks. 812+ years in data engineering / analytics, including 4+ years leading managers and cross-functional teams. Built and operated high-scale data ingestion from heterogeneous sources (APIs, feeds, and web data) with strong SLAs on freshness and accuracy. Led an analytics engineering function and partnered with analysts on metric definitions, product analytics instrumentation, experimentation enablement, and exec reporting. Hands on with Python and SQL; comfortable reviewing PRs and diving into schema / model design. Have experience scaling Analytics across organization. Practical experience delivering LLM / agent systems in production with measurable business outcomes. Experience working on operational workflows. Marketplace, fintech, or e-commerce experience (pricing / valuation, risk, payments) preferred. Prior success scaling teams in a high-growth startup. Bonus : You're familiar with the collectibles space or alternative asset marketplaces. A seat at the table to help shape the future of Alt and the alternative asset space. Autonomy and ownership on projects that matter. $100 / month work-from-home stipend. $200 / month wellness stipend. WeWork office stipend. 401(k) retirement benefits. Flexible vacation policy. Generous paid parental leave. Competitive healthcare benefits, including HSA, for you and your dependent(s).
The Role
Behind the scenes, Alt is a data company. We ingest the market's listings and sales in real time, clean and link the data, and turn that signal into pricing, risk, and automation that power our auctions and fixed-price experiences. We're building the operating system for the hobbywhere data, AI, and agentic workflows remove friction for sellers, buyers, and enterprise partners. Join us if you want to ship systems that touch live revenue, tame messy real-world data, and define a new standard for liquidity in alternative assets.
What You'll Do Here
Data Platform & Pipelines
- Own all ETL / ELT from external marketplaces and partners (listings and sold history data). Deliver coverage, freshness, and low latency across sources (APIs, feeds, and compliant web scraping).
- Design and operate pipelines; contribute to our asset AI detection entity resolution, and robust outlier detection / cleansing.
- Set measurable SLOs for freshness / latency / accuracy; build monitoring, alerting, and runbooks for data incidents.
- Own the Alt internal asset catalog and help increase proprietary dataset.
Analytics Engineering
Automation & AI Agents
Leadership
Tech You'll Work With
What You Bring to the Table
What You'll Get From Us
Base salary range : $225,000$275,000, plus equity. Offers may vary based on experience, location, and other factors.
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Engineering Manager Data • Denver, CO, US
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