Senior Software Engineer, Applied AI

About Us

Alembic applies cutting-edge algorithms and composite AI solutions to provide a new approach for marketing data analytics. Unlike tools that only provide correlation, only Alembic provides true causation, giving organizations across sector and industry the ability to quantify the value of every marketing activity and maximize future marketing investments. We’re backed by leading tech luminaries and innovators including WndrCo, founded by DreamWorks founder Jeffrey Katzenberg, Jensen Huang, Joe Montana, and many more.

Our journey began when a team of multi-exit startup leaders and friends came together to build cutting edge tech to tap into a generational market opportunity. We share early experience at companies that include Google, LinkedIn, Twitter, Apple, WP Engine, and Qualcomm. We're growing our team at scale in 2025.

About the Role - Senior Software Engineer, Applied AI

We're hiring an experienced Senior Software Engineer to join our growing Applied AI team. 

What you will do:

• Grow our AI and ML capabilities by contributing ideas and launching and completing new engineering projects.

• Partner across all teams including engineers, AI scientists, researchers, designers, and product managers to bring new features into production.

• Serve our customers by helping them unlock insights about their marketing efforts through our products and push the boundaries of what’s possible in marketing technology. 

• Contribute to the development and implementation of GNN architectures for marketing analytics.

• Apply GNN techniques to unlock deeper insights from complex, interconnected marketing data.

How you will succeed:

• Primary skills

  • Verbal and written communication: We’re dealing with complex, cutting-edge topics. That makes the ability to convey your ideas and concepts well is paramount. 

  • Python programming: Experience delivering production-ready python programs.

  • Relational databases: Experience in querying, designing and optimizing relational databases such as Postgres.

  • Software development lifecycle management: Experience owning projects end-to-end from scoping, designing, coding, release and continuous monitoring in production environment.

  • Capacity planning and management: Experience with profiling methods and scalability assessment.

  • Data processing: Experience with data preprocessing techniques such as cleaning, transformation, normalization, and feature extraction.

  • Graph Theory and Algorithms: Strong understanding of graph theory concepts and algorithms.

  • Deep Learning Frameworks: Experience with PyTorch, PyTorch Geometric, or similar frameworks for implementing GNNs.

• Secondary skills

  • ELT pipeline: Experience with ELT pipeline and orchestration systems such as Airflow.

  • Database systems: Experience working with one of more of non-SQL databases such as Druid, Elasticsearch and neo4j.

  • AWS: Experience deploying and managing applications on AWS.

  • Containerization and Virtualization: Proficiency in Docker and experience with container management and deployment.

  • Statistics and mathematics: Understanding of statistical concepts and methods such as statistical testing, regression analysis, time series analysis, and probability theory.

Why you might be excited about Alembic:

• You want to build something that is both technologically challenging and solves a real customer need. You want a role with major upside that tackles a massive market opportunity.

• You are a serial startup builder or want to learn more before becoming a founder yourself. Our team holds deep experience building and selling B2B marketing solutions that work.

• You want to work where you can take a big swing at building something big while maximizing your personal growth.

Why you might not be excited:

• If you only want to tell people instead of building and coding alongside them — and on your own — then we’re not the environment for you.

• You prefer company practices with 100% built out process for every little detail.

• You prefer static over dynamic. Projects, priorities, and roles will adapt to your skill set and your goals. Though we have a playbook for growth, we proudly remain an early stage startup.