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Alchemy

Engineering Manager (Data Science & Data Engineering)

Posted 4 Days Ago
Easy Apply
Hybrid
2 Locations
Senior level
Easy Apply
Hybrid
2 Locations
Senior level
Manage and grow a data team, develop data pipelines and analyses, collaborate with product teams, and advance the use of data and AI in decision-making.
The summary above was generated by AI

Our mission is to bring web3 to a billion people, by providing builders with the tools they need to build exceptional onchain products. Alchemy is the only complete developer platform that offers the powerful APIs, SDKs, and tools necessary to build and scale onchain apps and rollups.

Our infrastructure powers 70% of the top web3 teams, 90%+ of web2 companies building in web3 and 100+ million end users. Our customers include top web3 brands like Polymarket, OpenSea, Circle, WorldCoin, as well as major global brands like Shopify and Adobe.

The Alchemy team draws from decades of deep expertise in massively scalable infrastructure, AI, and blockchain from leadership roles at leading companies and universities like Google, Microsoft, Facebook, Stanford, and MIT.

We're backed by the world's leading VCs and institutions, including: Lightspeed, Silver Lake, a16z, Coatue, Pantera, Addition, Stanford University, Coinbase, and Charles Schwab, among others.

The Role

Build out our data team - data engineering and data science.

  • Grow and manage a team composed of data engineers and data scientists
  • Partner with product teams and business leaders across Alchemy to identify the highest leverage projects and decisions that we want to root in data.
  • Lead the team to develop and implement data pipelines and data analyses so we get real-time business insights into all our business lines.
  • Evangelize the use of data and AI across Alchemy, show everyone what is possible, in particular in the area of market intelligence.
  • Build tooling so most questions can be answered in a self-serve manner.
  • Build expertise with on-chain data sources, and solve some of the unique challenges that the industry faces in being able to observe trends across all chains in real-time.

What you'll do:

  • Grow and manage a team composed of data engineers and data scientists
  • Partner with product teams and business leaders across Alchemy to identify the highest leverage projects and decisions that we want to root in data.
  • Lead the team to develop and implement data pipelines and data analyses so we get real-time business insights into all our business lines.
  • Evangelize the use of data and AI across Alchemy, show everyone what is possible, in particular in the area of market intelligence.
  • Build tooling so most questions can be answered in a self-serve manner.
  • Build expertise with on-chain data sources, and solve some of the unique challenges that the industry faces in being able to observe trends across all chains in real-time.

 What we're looking for:

  • 7+ years of experience in data engineering, data science, or related domains, and 3+ years of management experience
  • Deep expertise in data pipelines, data science and data tooling
  • Experience using AI tools
  • Excellent communicator and are comfortable discussing complex technical concepts with engineers and partners at any level
  • Strong analytical and problem-solving skills, with an ability to think critically and objectively assess security risks
  • Experience working with startups
  • Prefer experience with AWS, Snowflake, DBT, and Apache Superset
  • Prefer experience working in Web3
  • Able to work Hybrid in SF or NYC only

More on The Role

Alchemy is committed to offering competitive compensation, including base salary as well as equity. Additionally, Alchemy offers comprehensive medical, dental, and vision coverage, as well as other benefits such as 401k and unlimited flexible time off.

The base salary range for this position is estimated to be between $135,000 - $275,000 annually. Please note this range reflects base salary only, and does not include bonus, equity, or benefits. Your salary will be determined by various factors, including relevant experience, skill set, qualifications, and other business needs.

Top Skills

Ai Tools
Apache Superset
AWS
Dbt
Snowflake

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