F

Fin

AI-powered customer experience agent platform

GTM Engineer - Applied AI

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 4 years of experience building production software, applied AI systems, or data products.
  • Experience building LLM-powered applications or agents used by real users.
  • Experience improving an AI system after launch using traces, user feedback, evaluations, or experiments.
  • Hands-on evaluation experience, such as building regression tests and grading output with humans or models.
  • Strong Python and SQL skills, with the ability to design APIs and data models.
  • Ability to measure impact rigorously and determine whether a metric changed because of an intervention.
  • Product judgment, including working with sales representatives to identify needs and prioritize what to build.
  • Heavy use of AI coding tools and ability to produce reliable work with them.

Responsibilities

  • Build and ship AI agents and LLM-powered tools for Sales and Success, including account research, call preparation, post-call follow-up, renewal risk, and pipeline review.
  • Own the full stack, including Python backends and APIs, Snowflake data models, feedback pipelines, and React frontends when needed.
  • Instrument tools by tracing agent actions, tool calls, failures, and sales representatives' edits to agent output to identify quality issues.
  • Set quality standards with tool users by building evaluation sets, grading output with human and model graders, and running regression tests and production monitoring.
  • Diagnose weak results across context, data, tools, prompts, and workflow design, and test fixes on replays of past traffic before release.
  • Determine which agent actions can be autonomous and where a sales representative should review work, then build suitable guardrails and review steps.
  • Measure adoption and business impact on conversion, win rate, cycle time, and retention, using experiments and staged rollouts where possible.
  • Deploy tools to teams by writing playbooks, running enablement sessions, and working with sales leaders to integrate the tools into team workflows.
  • Own business problems end to end: establish the commercial problem and success criteria with representatives and leaders, build the data, agent, and product, and integrate it into users' daily routines.
  • Monitor live tools, identify failures, improve their decisions or actions, assess their impact, and decide when a tool should be discontinued.

Desired Qualifications

  • Experience with go-to-market systems such as Salesforce, Gong, or Outreach.
  • Experience with dbt, Airflow, or other data orchestration tools.
  • Experience with agent evaluation or observability tools.
  • Experience working in or building products for sales, customer success, or revenue operations teams.

About the Company

Fin

AI-powered customer experience agent platform

Fin builds AI software for customer experience, featuring Fin, an AI agent that engages customers across service, sales, and ecommerce, and Intercom, a helper desk platform for human-assisted support. The Fin agent works through voice, chat, email, social channels, and Slack, performing multi-step tasks like updating accounts, processing refunds, or troubleshooting via its API, data connectors, and MCP, with Fin Operator monitoring and tuning for ops teams. It runs on proprietary Apex models trained for customer service and integrates with tools like Salesforce, HubSpot, and Freshdesk, alongside native Intercom workflows. Fin charges on outcome-based pricing per resolution, serves more than 12,000 customers, and was acquired by Salesforce in 2026 to continue growing in the AI customer-service space.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$490.8M
Headquarters
San Francisco, CA
Founded
2011

Recently Posted Jobs

Explore more opportunities at Fin

See more jobs