Octave seeks a Forward Deployed Engineer to own the ‘last mile’ of product impact for strategic partners. You will embed directly within client environments to solve ambiguous, high-stakes problems in domains like financial crime and national security, building and shipping production-grade solutions.

What You'll Do

Embed directly into clients' technical ecosystems to understand their workflows, environments, and mission challenges.
Design, build, and ship production-grade code, including Python applications and advanced SQL, leveraging APIs to solve bespoke challenges.
Lead the entire technical lifecycle of strategic deployments, from discovery and architectural design to implementation and operationalization.
Serve as the primary technical authority for clients, leading technical workshops, debugging complex systems, and acting as a trusted advisor.
Deconstruct ambiguous mission requirements into concrete technical solutions, architecting scalable data models and workflows.
Act as a conduit between the front lines and core engineering teams, translating real-world operational needs into platform features.

What We're Looking For

5+ years of experience in a client-facing, technical role (Forward Deployed Engineer, Sales Engineering, Solutions Architecture, Technical Consulting, etc.).
Demonstrated ability to write clean, production-ready code, with strong proficiency in Python and its data manipulation ecosystem (Pandas, etc.).
Deep fluency in writing and optimizing complex SQL queries.
Hands-on, practical experience consuming, integrating, and reasoning about RESTful APIs.
Strong communication and interpersonal skills to bridge the gap between code and mission for engineers, analysts, and senior leaders.
Excellent problem-solving skills and the ability to navigate ambiguous, complex scenarios.
A relentless drive, intellectual curiosity, and comfort parachuting into new environments to learn new technologies on the fly.
Bachelor's or Master's degree in a technical field strongly preferred.
Focus on multinational corporations and financial institutions.

Nice to Have

Practical experience leveraging AI, including prompting Large Language Models (LLMs) or using their APIs to build analytical solutions.
Experience building and deploying solutions on cloud platforms (AWS, GCP, Azure) and familiarity with containerization (Docker, Kubernetes).
Familiarity with the modern data stack (e.g., Snowflake, Databricks) and workflow orchestrators (e.g., Airflow, Prefect).
Knowledge of graph data technologies (Neo4j, TigerGraph) and their corresponding query languages.
Exposure to machine learning applications, particularly in NLP or entity resolution.
Experience in, or a demonstrated passion for, high-stakes domains such as AML/Financial Crime, Supply Chain Risk, or National Security.
Ability to travel up to 50%.

Technical Stack

Python, Pandas, SQL, RESTful APIs
Snowflake, Databricks
AWS, GCP, Azure
Docker, Kubernetes
Airflow, Prefect
Neo4j, TigerGraph

Benefits & Compensation

Compensation: $165,000-$180,000 USD + equity
100% fully paid medical, vision, and dental for employees and their dependents
Generous time off; observes all US federal holidays, winter break (12/24-12/31), 18 PTO days, and 10 sick days
Outstanding compensation package; competitive commissions for revenue roles and quarterly bonuses for non-revenue positions
A strong commitment to diversity, equity, and inclusion
Eligibility for 401k match up to 5%, 100% paid life insurance (up to $100,000 coverage), and parental leave
A collaborative and positive culture
Limitless growth and learning opportunities