Recruiting From Scratch

Compensation

Full Description

Who is Recruiting from Scratch: Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire. https://www.recruitingfromscratch.com/ 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.