AI Automation Engineer

Proofpoint

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
CAILTXMACO
Salary
$123,200–$193,600 / yr
Posted
56 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $177k
This role $158k
$111k most similar roles pay here $237k

This role pays less than 67% of similar roles. Most pay $142,575–$211,200 — the shaded band above. At the midpoint, this role pays about $158k versus about $177k for comparable roles.

Based on 240 similar postings.

Employer

About Proofpoint

Proofpoint is a cybersecurity company specializing in email security, threat protection, data loss prevention, and compliance. Privately held by Thoma Bravo since 2021, it serves over 500,000 organizations including 87 of the Fortune 100.

Proofpoint currently has 15 open roles on FindRole.

Listed pay typically runs $136,200–$214,005 across 9 roles with salary data.

Most-posted roles

View all roles at Proofpoint

At a glance

TL;DR · AI Automation Engineer

The AI Automation Engineer joins the CS Operations – GTM Automation & AI team to design, build, and evolve AI-driven applications including chat assistants, workflow automations, and autonomous agents for post-sales revenue teams. This role involves developing advanced prompt engineering techniques, building multi-agent systems, and creating automated workflows using enterprise orchestration platforms like Amazon Quick Automate and UnifyApps. The engineer will integrate these capabilities with the broader customer success tech stack, including Salesforce, Gainsight/Totango, Snowflake, and AWS. Key technical requirements include proficiency in Python, experience with LLM platforms such as Anthropic, OpenAI, and Amazon Bedrock, and knowledge of Model Context Protocol. The position focuses on solving operational inefficiencies by replacing manual, repetitive work with agentic AI solutions while ensuring reliable performance through human-in-the-loop guardrails and robust evaluation logic across various customer segments.

What you'll do

  • Develop and evolve role-based AI chat assistants using advanced prompt engineering to provide accurate information and actions for specific personas.
  • Design and build AI-driven workflow automations using enterprise orchestration platforms to process data and trigger downstream actions.
  • Optimize AI system performance by determining when to use natural language prompts versus custom Python code.
  • Evaluate and select the best LLMs and orchestration tools from various vendors to maintain a high-performing AI stack.
  • Integrate AI capabilities with the broader CS tech stack, including Salesforce, Gainsight, Snowflake, and other internal data sources.
  • Build autonomous agentic applications that complete complex tasks for customer segments with minimal human intervention.
  • Establish safety guardrails and monitoring logic for automated systems to ensure reliable performance at scale.
  • Identify and implement new AI opportunities to replace manual, repetitive work across the post-sales organization.

What we're looking for

  • Bachelor’s degree in Business, Computer Science, Engineering, or a related field.
  • 8+ years of professional experience with at least 2+ years focused on AI technologies.
  • Proven experience building AI applications with demonstrated results.
  • Experience in GTM, ideally within post-sales functions such as Customer Success.
  • Strong command of advanced prompt engineering to ensure accurate and reliable model output.
  • Experience architecting multi-agent systems optimized for performance, reliability, and scale.
  • Working knowledge of Python and experience with enterprise orchestration platforms and LLM platforms.
  • Familiarity with the CS tech stack including Salesforce, Gainsight/Totango, Clari, Gong, Pendo, Snowflake/Redshift, AWS, and Power BI.

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