4 hours ago
Base Salary
$180k - $280k/yr
Responsibilities
- Own the technical customer lifecycle from deployment through production adoption and expansion.
- Work directly with customers to identify high-value workflows and understand their systems and processes.
- Design and deploy AI agents combining reasoning, web research, premium external data, and internal systems.
- Build integrations with CRMs, document stores, data warehouses, and internal APIs.
- Debug agent behavior, data quality issues, integrations, and other problems in real-world deployments.
- Build relationships with users and technical stakeholders ranging from analysts to executives.
- Translate recurring customer patterns into product improvements and roadmap direction.
- Drive adoption from an initial workflow to broad, repeatable organizational use.
Requirements
- Strong engineering foundation from a rigorous technical environment.
- Demonstrated exceptional performance in academic, professional, athletic, or entrepreneurial pursuits.
- Experience writing and debugging production software.
- Proficiency in at least one modern programming language.
- Ability to quickly understand unfamiliar APIs, data models, and technical systems.
- High tolerance for ambiguity, intensity, and sustained effort when needed.
- Willingness to travel.
Benefits
- The team works together in person five days per week at the San Francisco office.
- The role offers autonomy, direct customer impact, and exposure to frontier AI systems.
Categories
AI ApplicationsForward Deployed
About Paradigm
Leverage swarms of agents to gather, structure, and take action on data with human-level precision.
