
Job Description
About Us
Salient builds AI agents for regulated financial services. Our agents automate loan servicing, compliance, collections, recovery, insurance claims, and disputes for banks, captives, and specialty lenders.
We are:
Backed by a16z and Y Combinator, with $75M raised in Series A funding
Cash flow positive and profitable, with eight figure ARR achieved in under two years
Already serving more than 20% of the auto lending industry
Processing millions of real customer calls and transactions every day
Fully deployed in production with major financial institutions
Actively expanding into new financial services segments
Building together in person in San Francisco
We are deeply integrated with our customers, own the full technology stack, and move quickly to bring modern AI into regulated industries where precision, reliability, and performance matter.
We are hiring a People Ops & Office Coordinator to help run the day-to-day employee, candidate, and office experience at Salient.
This is a hands-on, in-person role across recruiting coordination, onboarding, People Operations, employee experience, and office management. You will make sure candidates have a polished onsite interview experience, new hires start smoothly, employees know where to go for day-to-day People questions, and the office is organized, stocked, and running well.
This is a great role for someone early in their career who is highly organized, proactive, detail-oriented, and energized by being the person who keeps things moving.
What you’ll do
Coordinate onsite interviews, candidate schedules, interview rooms, office tours, and candidate logistics
Welcome candidates and help create a high-quality interview experience from arrival through departure
Support recruiting events, university recruiting, office open houses, and hiring initiatives
Keep recruiting dashboards, hiring trackers, and candidate logistics accurate and up to date
Support new hire onboarding logistics from offer acceptance through the first few weeks
Coordinate orientation, onboarding sessions, demos, benefits materials, and internal resources
Maintain onboarding presentations, People policy one-pagers, and employee-facing materials
Serve as a first point of contact for general People Operations questions
Support employee communications, holidays, birthdays, anniversaries, team events, and engagement initiatives
Support day-to-day office management, including snacks, beverages, supplies, and common spaces.
Help create a welcoming, organized, and high-energy office for employees, candidates, and visitors
What we’re looking for
Bachelor's Degree in Communications, Human Resources, Business Administration, Psychology, Hospitality/Event Management, Organizational Studies, or a related field
0–2 years of professional experience, ideally in people-facing role
Extremely organized, detail-oriented, and reliable
Strong written and verbal communication skills
Friendly, polished, and comfortable interacting with candidates, employees, executives, and visitors
Proactive and able to anticipate what needs to happen before being asked
Comfortable juggling many small details in a fast-moving environment
Excited to work in person
Low ego, high ownership, and willing to jump in wherever needed
Experience with Google Workspace, ATS or HRIS tools, event coordination, onboarding, or office operations is a plus.
At Salient, we’re building at the edge of AI - fast, focused, and with real ownership. Sprints and major launches move quickly, and we look for people who are energized by that pace. Our team typically works around 60 hours per week, beginning at 8:00 AM, with four days spent collaborating in person at our San Francisco office.
We also offer a benefits package designed to support our full-time employees: medical, dental, and vision coverage, a generous 401(k), and catered lunches.
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Job Details
- Category
- People & HR
- Employment Type
- Full Time
- Location
- San Francisco, CA
- Posted
- Compensation
- $75,000 - $90,000 per year
About Salient
Salient Predictions is an AI-driven firm that merges machine learning, climate science, and oceanography to generate weather forecasts. Their approach delivers twice the accuracy compared to typical forecasts and handles billions of data predictors to generate insights via APIs, interactive maps, and decision tools.
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