Jobs at Salient

Lead the people function, evolving HR infrastructure, implementing performance management frameworks, and driving culture initiatives at a high-growth startup.

Implement and customize AI technology for clients, oversee project execution, and collaborate with both technical and non-technical teams in a fast-paced environment.

Manage day-to-day finance and operations: monthly close, reporting, reconciliations, invoicing, AR/AP, vendor payments, budgeting, contracts, insurance, audits, and procurement. Maintain records in QuickBooks and Ramp, identify cost savings, build scalable finance processes using AI/automation, and partner across teams to keep workflows running.

Coordinate onsite interviews, candidate logistics, and new-hire onboarding. Maintain recruiting trackers and employee-facing materials, support People Ops communications and events, and manage day-to-day office supplies, snacks, and common spaces to ensure a welcoming in-person office experience.

The Staff Infrastructure Engineer will architect and manage infrastructure systems at scale, focusing on reliability, scalability, and performance for financial transactions and customer interactions.

The Software Engineer will enhance the AI platform for loan servicing, developing features, troubleshooting issues, optimizing performance, and balancing user needs with business goals.

As a Technical Recruiter, own full-cycle recruiting for technical roles, source engineering talent, partner with leadership, and track metrics in ATS.

Build responsive, performant React + TypeScript user interfaces and reusable components for a regulated-finance AI product. Translate complex workflows into clear UX, implement data visualizations, integrate with backend APIs, and ship maintainable code while collaborating with product, design, and AI teams. In-person role in San Francisco, 4 days/week.

Own post-sales lifecycle for strategic accounts: drive adoption, retention, and expansion; triage technical/compliance incidents by reading transcripts, logs, prompts, evals, and integration data; implement prompt and logic fixes; escalate clear diagnoses to engineering; run QBRs and handoffs; convert customer feedback into prioritized product signal.

The role involves building and improving speech models for AI voice agents in finance, ensuring high quality conversations and system reliability.