Note: The job is a remote job and is open to candidates in USA. Proofpoint is a global leader in human- and agent-centric cybersecurity. They are seeking a high-performing AI Automation Engineer to design and build AI-driven applications and tools that enhance the effectiveness of post-sales revenue-focused teams. The role involves collaborating with stakeholders to implement AI capabilities and optimize performance while integrating various AI systems with the company's tech stack.
Responsibilities
- Evolve our role-based AI chat assistants — trained to answer questions and take actions tailored to specific personas (e.g., CSM, Renewals)
- Apply advanced prompt engineering techniques to construct the right level of context, ensuring accurate analysis and reliable output
- Continuously test, monitor, and refine assistant performance based on usage data and user feedback
- Design and build AI-driven workflow automations using enterprise-grade orchestration platforms (e.g., Amazon Quick Automate, UnifyApps)
- Use AI to process data, apply evaluation and decision logic, generate outputs, and trigger downstream actions
- Deploy scheduled and trigger-based workflows, and design human-in-the-loop checkpoints where judgment or approval is required
- Continuously optimize AI system performance — faster data retrieval and analysis, breaking workflows into modular AI agent building blocks, and determining what belongs in a natural-language prompt versus what should be engineered in code (e.g., Python)
- Assess which AI logic should live at which layer — what should be centralized versus decentralized across different vendors and clouds — and continuously evaluate the ensemble of AI tooling LLMs (Anthropic, OpenAI, Amazon Bedrock, etc.) and orchestration platforms (Amazon Quick Automate, UnifyApps, open source, and others)
- Stay ahead of the rapidly evolving AI landscape and proactively recommend where new models, frameworks, or techniques should be adopted
- Partner closely with the AI Integration and Data teams to expand the AI 'brain' — extending data access and connectivity via MCP (Model Context Protocol) and connecting to additional datasets in our data warehouse
- Integrate and wire together our AI capabilities (chat, headless, workflow) with the broader CS tech stack, including Salesforce, Gainsight/Totango, Clari, Gong, Pendo, Snowflake/Redshift, AWS, and Power BI
- Help determine what AI processing we build and own ourselves versus what we leverage from point-solution vendors (e.g., Salesforce, Gong, Totango)
- Build our first truly agentic CS applications — AI that completes work with minimal to no human intervention — starting with our long-tail and smaller customer segments
- Define the human-in-the-loop guardrails, evaluation logic, and monitoring needed to operate agentic systems reliably and safely at scale
- Continuously identify new opportunities across the long-tail customer base where agentic AI can replace manual, repetitive work
Skills
- Bachelor's degree in Business, Computer Science, Engineering, or 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; understands how to construct context that drives accurate, reliable model output
- Experience architecting multi-agent systems optimized for performance, reliability, and scale
- Working knowledge of Python, with the ability to use AI to write code and to determine which components belong in a prompt versus in code
- Hands-on experience with enterprise orchestration platforms (e.g., Amazon Quick Automate, UnifyApps, or similar), LLM platforms (Anthropic, OpenAI, Amazon Bedrock), and tools such as OpenAI Codex, Claude CoWork, etc
- Familiarity with the broader CS tech stack — Salesforce, Gainsight/Totango, Clari, Gong, Pendo, Snowflake/Redshift, AWS, Power BI
- Very comfortable operating with a high degree of ambiguity — moving fast, pivoting as needed, and working in a highly iterative motion
- Genuine passion for AI innovation and a track record of staying current with new models, frameworks, and tools
- Strong communication skills, with the ability to translate technical AI concepts for non-technical business stakeholders
Benefits
- Competitive compensation
- Comprehensive benefits
- Career success on your terms
- Flexible work environment
- Annual wellness and community outreach days
- Always on recognition for your contributions
- Global collaboration and networking opportunities
- Variable compensation and/or equity
- Flexible time off
- A comprehensive well-being program with two paid Wellbeing Days and two paid Volunteer Days per year
- A three-week Work from Anywhere option
Company Overview
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