Posted 1w ago

AI Outcomes Associate

@ UpSmith
Dallas, Texas, United States
OnsiteFull Time
Responsibilities:deploy agents, diagnose failures, improve prompts
Requirements Summary:Strong analytical skills; experience with AI, data tooling, and customer-facing work; ability to operate in ambiguity; bias toward action; SQL and data visualization knowledge; comfort deploying AI/automation.
Technical Tools Mentioned:SQL, Tableau, Retool, Metabase, LLMs, Prompt engineering
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Job Description

About UpSmith

UpSmith builds agentic AI systems that help skilled-trades businesses win—by converting more demand into revenue without adding payroll. Our flagship platform, Jenny, deploys autonomous AI agents that engage customers, surface revenue opportunities, and execute end-to-end workflows directly inside systems like ServiceTitan.

We are entering a phase where AI capability alone is no longer the bottleneck. Rather, the bottleneck is product outcomes: deploying agents into messy, real-world environments and making them work—reliably, measurably, and at scale.

This role exists to own that problem, and associated outcomes with it.

The Role

The AI Outcomes Associate sits at the intersection of:

  • Applied AI & agent design
  • Product judgment & abstraction discipline
  • Customer success & real-world deployment

You will be responsible for turning AI capability into customer-visible, revenue-driving outcomes. That means working directly with customers, AI Outcomes managers, and engineers to deploy agents, diagnose failures, refine behavior, and prove impact.

This is not a traditional CSM role.

It is a front-line, ownership-heavy role for someone who wants to see their work running in production—creating real economic value.

What You’ll Own

AI Outcomes & Customer Impact

  • Own the end-to-end success of AI agent deployments for our customers
  • Define, track, and improve leading and lagging indicators of agent success (conversion, bookings, revenue lift, customer trust)
  • Diagnose failures across data, prompts, tooling, coordination logic, and customer workflows
  • Act as the single accountable owner for “Is this working—and why?”
  • Work hands-on with AI agents in production:
    • Prompting and behavior design
    • Guardrails, fallbacks, and human-in-the-loop escalation
  • Partner with core engineering on deeper system improvements surfaced from the field

Product & Feedback Loop

  • Translate customer reality into clear product insights and roadmap input
  • Identify when problems are:
    • Agent behavior issues
    • Product abstraction issues
    • Customer workflow mismatches
  • Help decide what not to build by grounding decisions in outcomes, not hypotheticals

What Success Looks Like (6–12 Months)

  • Customers expand usage because the configuration, deployment, and ongoing maintenance/support of AI agents measurably drive revenue at clients
  • Agent deployments become faster, more repeatable, and less bespoke
  • Product and engineering velocity increases due to high-signal field feedback
  • You are trusted internally to own some customer outcomes with minimal oversight

Our Values (Non-Negotiable)

  • Mission first. Deliver magic for the builders we serve.
  • Speed wins. Execute efficiently with bias to action.
  • Be an owner. Raise the bar and take pride in the work.
  • Choose greatness. We perform best when we play to our superpowers. We hold a high standard for the bets we make

These are not slogans. This role lives or dies by them.

Why This Role Matters

UpSmith is moving from “Can we build agents?” to “Can we deploy agents that win?”

This role is where that question gets answered—every day, with real customers, real revenue, and real accountability.