Own AI applications, workflow automations, and systems integrations from requirements gathering and technical design through production deployment and iteration.
Partner with Sales Operations, Revenue Analytics, and cross-functional stakeholders to translate business problems into scalable technical solutions that deliver measurable value.
Evaluate and integrate new AI models, APIs, frameworks, and development approaches based on business needs, technical feasibility, and performance.
Develop production-quality applications with appropriate testing, documentation, monitoring, and maintainability; troubleshoot and improve solutions post-launch based on user feedback and performance.
Build reusable AI capabilities, integrations, documentation, and development patterns that can be leveraged across teams and use cases.
Communicate technical concepts, solution designs, tradeoffs, and outcomes to technical and non-technical stakeholders, including presenting work to cross-functional audiences.
Qualifications
Required
1–2 years of hands-on experience building software, data products, or AI-powered tools through professional, internship, academic, or substantial independent project experience.
Strong proficiency in Python and SQL, with experience in data analysis, application development, and statistical or machine-learning workflows.
Hands-on experience with machine learning and statistical modeling, including regression, classification, feature engineering, and model evaluation.
Experience working with large structured datasets using Snowflake, relational databases, or comparable cloud data platforms.
Experience developing or integrating REST APIs and backend services using FastAPI or similar frameworks, along with familiarity with modern web application development.
Demonstrated ability to ship functional tools or applications to real users and evaluate their performance using appropriate technical or quantitative measures.
Strong problem-solving, communication, and collaboration skills, including the ability to learn unfamiliar technologies, incorporate stakeholder feedback, and explain technical tradeoffs to non-technical audiences.
Preferred
Experience developing applications using LLMs, RAG, embeddings/vector search, prompt engineering, and LLM APIs such as OpenAI or Anthropic.
Familiarity with AI agents, tool/function calling, intent routing, retrieval systems, and workflow orchestration.
Experience with React and TypeScript or another modern front-end framework.
Experience with Docker, AWS, or comparable cloud and deployment technologies.
Familiarity with ETL/ELT pipelines, data modeling, JSON/metadata mappings, and multi-system data integrations.
Experience with Snowflake, Salesforce, or other GTM/revenue data systems.
Logistics
Full-time
Reports to Director, Revenue Analytics
Onsite/hybrid/remote per team policy
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Why Proofpoint?
At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you’ll love working with us:
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
Our Culture
Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone.
We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to accessibility@proofpoint.com.
How to Apply
Interested? Submit your application along with any supporting information- we can’t wait to hear from you!
Consistent with Proofpoint values and applicable law, we provide the following information to promote pay transparency and equity. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets as set out below. Pay within these ranges varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate. The range provided may represent a candidate range and may not reflect the full range for an individual tenured employee. This role may be eligible for variable compensation and/or equity. We offer a competitive benefits package, including flexible time off, a comprehensive well-being program with two paid Wellbeing Days and two paid Volunteer Days per year, plus a three-week Work from Anywhere option.
Base Pay Ranges
SF Bay Area, New York City Metro Area
Base Pay Range: 111,300.00 - 174,900.00 USD
- California (excludes SF Bay Area), Colorado, Connecticut, Illinois, Washington DC Metro, Maryland, Massachusetts, New Jersey, Texas, Washington, Virginia, and Alaska:
- Base Pay Range: 93,300.00 - 146,630.00 USD
All other cities and states excluding those listed above
Base Pay Range: 83,600.00 - 131,340.00 USD
