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Active2d ago

Technical Program Manager, Taylor

Salient·📍 San Francisco, California, United States

Employment

FULL TIME

Work mode

On-site

Experience

Not stated

Salary

$160K – $200K/yr

Pay vs market · Near median

This job's pay ($180,000 a year at the midpoint) is higher than about 45% of 295 salary-listed Program Manager jobs in United States in the last 12 months; their median is $184,500.

Salary data →

Role overview

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 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 a Technical Program Manager to help scale Taylor, our flagship product, as we launch with new customers - from large lenders to smaller institutions. You’ll drive execution across key Taylor initiatives: making the platform more reliable and scalable, keeping Forward Deployed Engineers (FDEs) and product engineering aligned, and ensuring we consistently deliver new capabilities. This is a hands-on role for someone who can participate confidently in technical conversations and bring structure to complex, fast-moving work. You’ll lead programs, not people. We don’t expect you to be an expert in every area below on day one. What You’ll Own Plans for key Taylor initiatives: scope, milestones, dependencies, risks, and status Reliability, performance, and scalability work tied to customer launch timelines Intake, triage, and ownership for customer requests and field fixes across FDE and product engineering Feature planning, release readiness, and launch checklists Alignment between customer commitments and engineering delivery Repeatable customer onboarding and go-live playbooks What You Bring Experience running complex technical programs across multiple engineering teams Technical depth in production systems, such as APIs, distributed systems, or data pipelines Strong judgment around prioritization, risks, and tradeoffs Ability to align teams with competing priorities without formal authority Comfort moving quickly and making decisions with incomplete information Nice to Have Reliability, performance, or scalability program experience Enterprise implementation or customer launch experience Experience with AI agent products or regulated industries Clear, concise written communication 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 .

About this listing

  • Source: Salient's official careers site (via Ashby) · last confirmed on the source 4 Nov 2026
  • Posted 2 Nov 2026

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What they are looking for

Skills & requirements

ai

Department · Engineering

Hiring company

Salient

There's a better way to manage business performance. Your business is complex. Getting to the root of performance shouldn’t be. Salient helps complex organizations define what drives performance, put ownership closer to where outcomes can be influenced and create the visibility and feedback people need to improve. We combine four decades of performance and

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