Forward Deployed Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Engage directly with clients' technical environments to gain insight into their workflows and mission-related challenges.

• Develop, construct, and deliver production-quality Python applications, sophisticated SQL solutions, APIs, data pipelines, and AI/ML prototypes.

• Oversee the technical aspects of strategic deployments, guiding them from initial discovery and architectural design to implementation and operationalization.

• Act as the primary technical expert, conducting workshops, troubleshooting intricate systems, and providing guidance on Sayari's platform to clients.

• Convert unclear mission requirements into scalable data models and workflows.

• Create data pipelines that integrate with client persistence layers, including Snowflake and Databricks.

• Serve as the link between clients and core engineering teams, interpreting operational needs and feedback into scalable product features.

• Present project outcomes to C-level executives, intelligence analysts, or mission directors.

⛳️ Requirements

• Over 5 years of experience in a client-facing, technical position.

• Proficient in writing clean, production-quality code.

• Strong expertise in programming languages, particularly Python, and data manipulation tools like Pandas.

• Extensive knowledge in crafting and optimizing complex SQL queries.

• Hands-on experience with consuming, integrating, and reasoning about RESTful APIs.

• Excellent communication and interpersonal abilities.

• Strong analytical skills and adeptness in navigating ambiguous, complex situations.

• Unyielding drive and intellectual curiosity; comfortable learning new technologies quickly.

• Bachelor's or Master's degree in a technical discipline is highly preferred.

• Practical experience utilizing AI, including prompting LLMs or using their APIs.

• Background in building and deploying solutions on AWS, GCP, or Azure.

• Familiarity with Docker and Kubernetes.

• Knowledge of Snowflake, Databricks, Airflow, or Prefect.

• Understanding of graph data technologies such as Neo4j or TigerGraph and their respective query languages.

• Exposure to machine learning applications, especially NLP or entity resolution.

• Experience or demonstrated passion for AML/Financial Crime, Supply Chain Risk, or National Security.

• Willingness to travel up to 30%.

🏝️ Benefits

• Comprehensive medical, vision, and dental coverage fully paid for employees and their dependents.

• Generous time off, including all US federal holidays, winter break (12/24-12/31), 18 PTO days, and 10 sick days.

• Competitive commissions for revenue-generating roles and bonuses for non-revenue positions.

• Strong dedication to diversity, equity, and inclusion.

• 401k matching up to 5%.

• Fully paid life insurance (coverage up to $100,000).

• Parental leave benefits.

• A collaborative and positive workplace culture.

• Unlimited opportunities for growth and learning.

• Equity options included in the compensation package.