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Job Description

This full-time, hybrid position places a Forward-Deployed Software Engineer in San Francisco, embedded with enterprise clients to extract data, build pipelines, and deliver end-to-end, production-grade solutions. Compensation ranges from $150,000 to $200,000 per year, plus equity; visa sponsorship is not available.

Responsibilities

  • Deploy on-site or collaborate closely with client engineering teams to pull data from ERP systems, data warehouses, and SaaS tools
  • Write clean, efficient, maintainable code in Python, SQL, and other required languages
  • Design and deploy data pipelines, APIs, and internal tooling to support analytics and modeling workflows
  • Partner with technical and non-technical customer stakeholders to understand systems, workflows, and pain points
  • Collaborate with internal data scientists, strategists, and platform engineers to deliver end-to-end solutions
  • Surface client insights to inform the product roadmap and internal tooling priorities
  • Embed with client teams to comprehend their environments, transform complex datasets, and build scalable solutions

Requirements

  • 3–5 years in a data-heavy, customer-facing software engineering role (eg, Sales Engineer, Solutions Engineer, Forward-Deployed Engineer)
  • Experience in at least one customer-facing technical role (eg, FDE, Solutions Architect)
  • Proven ability to build and deploy data ingestion and integration pipelines using Python and SQL
  • Deep experience with cloud infrastructure (AWS) and enterprise systems (ERPs, data warehouses)
  • Hybrid work availability from the San Francisco office (2–4 days per week)
  • Willingness to travel occasionally to client sites

Technologies

  • Python
  • SQL
  • AWS

Benefits

  • Meaningful equity

About the Company

David Joseph & Company is an early-stage, well-funded AI firm focused on helping large enterprises measure and maximize the ROI of AI initiatives. The software blends advanced research with rigorous data analysis to generate dynamic, customized roadmaps for organizations. Backed by leading investors and AI thought leaders, the company operates from San Francisco and serves major enterprise customers with real revenue and momentum.

Why Join

  • High-impact enterprise work: tackle real-world data and engineering challenges directly with large clients
  • Collaborative team: work alongside accomplished AI researchers, data scientists, strategists, and platform engineers
  • Ownership and growth: meaningful equity in a fast-growing company with proven market traction
  • Shape the product: client-facing insights inform the product roadmap and you travel to client sites as needed

The Role

As a Forward-Deployed Software Engineer, you will engage directly with enterprise clients to address high-impact data and engineering challenges. You will embed with client teams to learn their systems, extract and transform complex datasets, and deliver scalable solutions. This is a technically focused role requiring production-grade code, data pipeline development, and integration with real-world, often messy, environments.

Interview Process

  • Recruiter Screen (20–30 min)
  • Initial Screen with Hiring Manager (30 min)
  • Take-Home (Offline)
  • Take-Home Review (60 min)
  • Final Interview with CEO (45 min)
  • Offer

Nice to Have

  • Experience at an early-stage startup (Seed to Series B)

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