Recruiting From Scratch
Engineering Manager- Data, Automation & Analytics
Recruiting From Scratch, San Francisco, California, United States, 94199
Overview
Title of Role:
Engineering Manager / Senior Engineering Manager – Data, Automation & Analytics Location:
Remote (USA) Company Stage of Funding:
Series B–E Venture-Backed Startup Office Type:
Remote, Full-time Salary:
$188,000 – $235,000 base, plus competitive equity Company Description
Our client is a fast-growing venture-backed technology company reinventing how alternative assets are bought, sold, and valued. With hyper-growth and a platform that is defining a new standard for liquidity in a multi-billion-dollar market, they are leveraging real-time data, automation, and AI agents to transform customer experiences and operational efficiency. This is an opportunity to join a company where data is the product backbone, powering risk models, pricing engines, and automation workflows that directly impact revenue. What You Will Do
Lead a multidisciplinary team of data engineers, analytics engineers, and automation/ML engineers.
Own the end-to-end data platform: ingestion, ETL/ELT, pipelines, and monitoring across multiple sources (APIs, feeds, compliant web scraping).
Partner with analytics and business teams to deliver metrics layers, dashboards, A/B testing infrastructure, and product analytics.
Drive automation by mapping high-impact workflows (pricing, QA, customer operations, KYC, payouts) and delivering AI agents to replace manual tasks.
Define measurable service level objectives (freshness, latency, accuracy) and build robust monitoring and runbooks.
Translate business goals into a clear technical roadmap with quarterly outcomes and shipped impact.
Ideal Candidate Background
8–12+ years in data engineering/analytics, including 4+ years leading cross-functional teams or managers.
Proven experience operating large-scale data ingestion and transformation pipelines with strong SLAs.
Hands-on proficiency in Python and SQL; able to review PRs and guide schema/model design.
Strong track record building and scaling analytics engineering (metrics definition, dashboards, experimentation, exec reporting).
Practical experience deploying AI/LLM agent systems in production with measurable business outcomes.
Startup or high-growth environment experience, ideally Series A–E stage.
Preferred
Background in marketplaces, fintech, e-commerce, or other transaction-heavy platforms (pricing, valuation, risk, or payments).
Experience with modern data/AI tooling such as: Data stack:
Snowflake, dbt, Airflow, Airbyte/Fivetran, Great Expectations/Soda.
Analytics:
Tableau, Metabase, Amplitude.
Infra:
AWS, Terraform, GitHub Actions, Datadog.
AI/Agents:
OpenAI, Anthropic, Vertex AI, Langchain, Pydantic AI.
Familiarity with collectibles, trading, or alternative asset marketplaces is a plus.
Compensation, Benefits, and Other Details
Base salary: $188,000 – $235,000, plus a competitive equity package.
Comprehensive benefits package (health, dental, vision, retirement, and more).
Fully remote role with flexibility across the United States.
Visa sponsorship is available for H-1B transfers.
Opportunity to shape a category-defining platform, own systems tied to live revenue, and lead a high-impact team at the intersection of data, AI, and automation.
This role is ideal for engineering leaders who love building in high-growth environments, want to stay close to the code, and are excited by the challenge of scaling data and AI systems that power real business impact.
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Title of Role:
Engineering Manager / Senior Engineering Manager – Data, Automation & Analytics Location:
Remote (USA) Company Stage of Funding:
Series B–E Venture-Backed Startup Office Type:
Remote, Full-time Salary:
$188,000 – $235,000 base, plus competitive equity Company Description
Our client is a fast-growing venture-backed technology company reinventing how alternative assets are bought, sold, and valued. With hyper-growth and a platform that is defining a new standard for liquidity in a multi-billion-dollar market, they are leveraging real-time data, automation, and AI agents to transform customer experiences and operational efficiency. This is an opportunity to join a company where data is the product backbone, powering risk models, pricing engines, and automation workflows that directly impact revenue. What You Will Do
Lead a multidisciplinary team of data engineers, analytics engineers, and automation/ML engineers.
Own the end-to-end data platform: ingestion, ETL/ELT, pipelines, and monitoring across multiple sources (APIs, feeds, compliant web scraping).
Partner with analytics and business teams to deliver metrics layers, dashboards, A/B testing infrastructure, and product analytics.
Drive automation by mapping high-impact workflows (pricing, QA, customer operations, KYC, payouts) and delivering AI agents to replace manual tasks.
Define measurable service level objectives (freshness, latency, accuracy) and build robust monitoring and runbooks.
Translate business goals into a clear technical roadmap with quarterly outcomes and shipped impact.
Ideal Candidate Background
8–12+ years in data engineering/analytics, including 4+ years leading cross-functional teams or managers.
Proven experience operating large-scale data ingestion and transformation pipelines with strong SLAs.
Hands-on proficiency in Python and SQL; able to review PRs and guide schema/model design.
Strong track record building and scaling analytics engineering (metrics definition, dashboards, experimentation, exec reporting).
Practical experience deploying AI/LLM agent systems in production with measurable business outcomes.
Startup or high-growth environment experience, ideally Series A–E stage.
Preferred
Background in marketplaces, fintech, e-commerce, or other transaction-heavy platforms (pricing, valuation, risk, or payments).
Experience with modern data/AI tooling such as: Data stack:
Snowflake, dbt, Airflow, Airbyte/Fivetran, Great Expectations/Soda.
Analytics:
Tableau, Metabase, Amplitude.
Infra:
AWS, Terraform, GitHub Actions, Datadog.
AI/Agents:
OpenAI, Anthropic, Vertex AI, Langchain, Pydantic AI.
Familiarity with collectibles, trading, or alternative asset marketplaces is a plus.
Compensation, Benefits, and Other Details
Base salary: $188,000 – $235,000, plus a competitive equity package.
Comprehensive benefits package (health, dental, vision, retirement, and more).
Fully remote role with flexibility across the United States.
Visa sponsorship is available for H-1B transfers.
Opportunity to shape a category-defining platform, own systems tied to live revenue, and lead a high-impact team at the intersection of data, AI, and automation.
This role is ideal for engineering leaders who love building in high-growth environments, want to stay close to the code, and are excited by the challenge of scaling data and AI systems that power real business impact.
#J-18808-Ljbffr