2,016,939open jobs
119,382companies
250,380added this week
Browse all
Salary
$200k – $320k per year
Location
In office (San Francisco)
Seniority
Staff
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Sep 25, 2026. Salient scores C on the Alion truth index.

Overview
Company
Impact
Profile match
Salient is an American financial technology company founded in 2023 that builds AI voice and automation agents for consumer lenders, especially auto lenders. Its software handles loan servicing calls, collections, payment arrangements, insurance claims, disputes and regulatory audit work, aiming to cut operating costs while keeping borrower conversations compliant. The company is headquartered in San Francisco, California, United States.

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 mid 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.

The Role

We're hiring the Lead Product Manager, for Voice AI, omni-channel. You will own what the agent can do, how well it does it, and how quickly a new lender can get it live. This is the most important surface at the company, and today it's a set of very capable channels that needs to become one coherent product.

This is a hands-on role. You'll be listening to call recordings, sitting with servicing teams, writing specs an engineer respects, and defining what "good" means for an agent that talks to people about their money. You'll have the option to build a product team around you over time, but the first year is about your own judgment and throughput.

What You'll Own

  • The roadmap and strategy for the agent across voice, text, email, and chat - including the hard part: making a conversation that starts in one channel finish cleanly in another.

  • Agent quality. You define the metrics - containment, resolution rate, escalation, handle time, CSAT, error and hallucination rates - build the evaluation loop, and move the numbers.

  • The servicing workflow catalog. Turning payments, payoffs, hardship, collections, title, and insurance from bespoke deployments into configurable product.

  • Time-to-live. Getting a new lender from signed to in-production faster every quarter.

  • Guardrails and compliance posture in the product: disclosures, audit trails, human handoff thresholds, and the design decisions that keep us inside FDCPA, TCPA, UDAAP, and state servicing rules.

  • The bar for discovery, specs, and instrumentation that the rest of the product org will inherit.

What you bring

  • You've shipped LLM-powered products to real users - not demos. You can reason about prompting, evals, retrieval, tool use, and latency/cost tradeoffs, and you know where models break.

  • You own outcomes, not artifacts. You move fast, decide with incomplete information, and are comfortable being the most accountable person in the room.

  • You go to the source. You'll listen to hundreds of calls and sit with ops teams because that's where the real workflow lives.

  • You're rigorous about measurement. You can tell a model problem from a product problem from a data problem.

  • You hold your own with engineers. You can read a trace, debate an architecture decision, and write a spec that doesn't need translating.

  • You have instincts for risk. You know how to design a system that's allowed to be wrong sometimes without that being catastrophic.

  • You can say no to a large customer and keep the relationship.

  • You write and present clearly enough to stand in front of a lender's risk committee.

  • Voice, IVR, contact center, or conversational AI experience - telephony constraints, barge-in, latency budgets, transcription error, call QA.

Nice to Have

  • Background in lending, servicing, collections, or adjacent financial operations.

  • Experience hiring or mentoring product managers.

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.

By applying, you acknowledge that your personal information will be processed in accordance with our Privacy Policy.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
2,016,939 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Product
Similar stack
Same company
San Francisco
$220k – $280k per year · In office · Full-Time · 5+ years exp · Mountain View
AI/ML
Multimodal AI
LLM
Apply
Head of Product 2 hours ago
$225k – $275k per year · Equity · Hybrid · Full-Time · Seattle
Apply
$179k – $247k per year · Equity · In office · 8+ years exp · Bachelor's Degree · United States
AI/ML
AI Agents
NLP
RAG
Cybersecurity
SentinelOne
Apply
$156k – $265k per year · Remote (United States) · Full-Time · United States
Apply
$179k – $305k per year · In office · Full-Time · New York · Salt Lake City
Apply
$19k – $53k per year · In office · Full-Time · Mumbai · Bengaluru
Python
SQL
AI/ML
Fine-tuning
Prompt Engineering
Multimodal AI
Function Calling
AI Agents
NLP
Speech Recognition
TensorFlow
PyTorch
LLM
RAG
Hugging Face
Text-to-Speech
Agentic Workflows
Machine Learning
Apply
up to $60k per year · Remote (EAEU) · 4+ years exp · Moscow
SQL
Databases
RabbitMQ
Apache Kafka
AI/ML
AI Agents
LLM
DevOps
Rest API
gRPC
SOAP
Management
UML
BPMN
Apply
≈ $115k – $214k per year (Estimated) · Hybrid · Full-Time · 2+ years exp · Bachelor's Degree · Columbus · Atlanta · Alpharetta
Python
JavaScript
Node JS
Node JS
Express
AI/ML
Copilot
Cursor
Windsurf
LangChain
LlamaIndex
Quantization
AI Agents
Codeium
Semantic Kernel
Llama
TensorFlow
PyTorch
LLM
RAG
OpenAI
Text-to-Speech
GPT-4
Prompt Caching
DevOps
GCP
Azure
Git
AWS
Docker
Kubernetes
Apply
Senior ML engineer 2 days ago
≈ $24k – $46k per year (Estimated) · In office · 3+ years exp · Saint Petersburg
Python
SQL
Python
pySpark
AI/ML
Hadoop
CatBoost
Spark
LLM
DevOps
Git
Linux
Apply
≈ $57k – $95k per year (Estimated) · In office · Full-Time · 5+ years exp · Kraków
PHP
SQL
PHP
Symfony
Databases
RabbitMQ
ElasticSearch
AI/ML
LLM
DevOps
AWS
Kubernetes
Apply
$180k – $280k per year · In office · Full-Time · San Francisco
AI/ML
AI Agents
Apply
$200k – $300k per year · In office · Full-Time · San Francisco
AI/ML
AI Agents
Voice Agents
DevOps
WebRTC
AWS
Kubernetes
Amazon EC2
SLI/SLO/SLA
Apply
$200k – $300k per year · In office · Full-Time · San Francisco
AI/ML
Function Calling
AI Agents
LLM
DevOps
IAM
Cybersecurity
SOC 2
Apply
$200k – $300k per year · In office · Full-Time · San Francisco
AI/ML
AI Agents
LLM
DevOps
Terraform
GCP
WebRTC
AWS
FinOps
Cybersecurity
SOC 2
Least Privilege
Apply
AI Deployment Lead 3 months ago
$150k – $235k per year · In office · Full-Time · 4+ years exp · San Francisco
AI/ML
Function Calling
AI Agents
LLM
Agentic Workflows
Apply
≈ $98k – $195k per year (Estimated) · Hybrid · Full-Time · 2+ years exp · Bachelor's Degree · San Francisco
Apply
$177k – $239k per year · Equity · In office · Full-Time · 10+ years exp · San Francisco
AI/ML
Fine-tuning
JAX
Prompt Engineering
AI Agents
Speech Recognition
AWS Bedrock
PyTorch
RAG
Amazon SageMaker
AWS Bedrock AgentCore
AWS Trainium
Context Engineering
LLM Guardrails
Multi-Agent Systems
Machine Learning
DevOps
AWS
Apply
$116k – $160k per year · Equity · In office · Full-Time · 5+ years exp · Master's Degree · Seattle · New York · Arlington · San Francisco
Apply
$240k – $375k per year · In office · 15+ years exp · Bachelor's Degree · San Francisco
Apply
$65k per year · Equity · In office · Full-Time · 1+ year exp · High School Diploma · San Francisco
Apply
See all jobs
This is one of many
2,016,939 more open roles from verified company boards, updated every day.