📍 Job Overview

Job Title: AI Systems Engineer
Company: Stampli
Location: Israel
Job Type: Full-time
Category: AI & Machine Learning Engineer
Date Posted: 2025-06-19
Experience Level: Mid-level (2-5 years)
Remote Status: Hybrid (3 days remote, 2 days on-site)

🚀 Role Summary

AI-driven Marketing & Sales Automation: Design and implement AI-powered automations to streamline key marketing and sales workflows, enabling personalized outreach and automated content generation.
Cross-functional Collaboration: Work closely with Marketing, Sales Operations, Product, and AI teams to identify new growth opportunities and optimize automation performance.
AI Integration & Tool Development: Integrate AI tools across platforms (HubSpot, Gong, LinkedIn, etc.) into seamless GTM flows and develop systems for automated content generation and tailored demo recommendations.
Data-driven Optimization: Monitor and optimize automation performance using data-driven methods and develop documentation and governance standards for scalable AI automations.

📝 Enhancement Note: This role requires a strong background in AI tools, APIs, and automation platforms, as well as a creative, analytical mindset to solve business problems through automation.

💻 Primary Responsibilities

AI-powered Automations: Design and implement AI-powered automations to streamline key marketing and sales workflows, such as personalized outreach, automated content generation, and tailored demo recommendations.
AI Integration: Integrate AI tools across marketing and sales platforms (HubSpot, Gong, LinkedIn, etc.) into seamless GTM flows and develop systems for automated content generation and tailored demo recommendations.
Data-driven Optimization: Monitor and optimize automation performance using data-driven methods and develop documentation and governance standards for scalable AI automations.
Collaboration & Growth Opportunities: Collaborate across Marketing, Sales, Product, and AI teams to identify new growth opportunities and contribute to Stampli's AI-first approach.

📝 Enhancement Note: This role involves a high degree of collaboration and requires strong communication skills to work effectively with various teams and stakeholders.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Artificial Intelligence, or a related field. Relevant coursework in AI, machine learning, and data structures is essential.

Experience: 3-5 years of development experience, ideally in marketing tech or sales operations, with a strong focus on AI tools and APIs.

Required Skills:

Proficiency in Python, SQL, and automation platforms (e.g., Zapier, Make)
Experience working with AI tools and APIs (OpenAI, Anthropic, etc.)
Understanding of prompt engineering, NLP, and conversational design
Background in integrating with marketing and sales platforms (HubSpot, Gong, Salesforce)
Strong web development fundamentals and REST APIs
Familiarity with B2B SaaS sales and marketing processes
Knowledge of data privacy regulations and AI governance frameworks

Preferred Skills:

Experience with custom LLMs and internal AI platforms
Familiarity with ChatGPT Enterprise and other AI-driven tools
Background in data analysis and visualization tools (e.g., Tableau, Power BI)

📝 Enhancement Note: Given the role's focus on AI-driven marketing and sales automation, candidates with experience in AI tools, APIs, and automation platforms are strongly preferred.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

AI-driven Projects: Showcase AI-driven projects that demonstrate your ability to design and implement AI-powered automations, integrate AI tools, and optimize performance.
Automation Platforms: Highlight projects that showcase your experience with automation platforms (e.g., Zapier, Make) and AI tools and APIs.
Marketing & Sales Integration: Include projects that demonstrate your ability to integrate AI tools across marketing and sales platforms (HubSpot, Gong, LinkedIn, etc.).

Technical Documentation:

Code Quality & Documentation: Demonstrate your ability to write clean, well-documented code with clear comments and version control.
AI Governance & Ethics: Showcase your understanding of AI governance and ethics by including documentation on data privacy, responsible AI development, and ethical considerations in your projects.

📝 Enhancement Note: Given the role's focus on AI-driven marketing and sales automation, candidates should prioritize projects that demonstrate their ability to design and implement AI-powered automations and integrate AI tools across platforms.

💵 Compensation & Benefits

Salary Range: The salary range for this role in Israel is approximately ₪ 450,000 - ₪ 600,000 per year (USD 130,000 - USD 170,000), based on experience and qualifications.

Benefits:

Stock options and growth opportunities
Access to cutting-edge AI tools, including ChatGPT Enterprise and custom LLMs
Flexible work arrangement: 3 days remote, 2 days on-site (Tues-Thurs)
Flat, collaborative culture that values curiosity, innovation, and speed

Working Hours: The standard workweek is 40 hours, with flexible working hours to accommodate project deadlines and maintenance windows.

📝 Enhancement Note: The salary range provided is based on regional market research and industry standards for AI & Machine Learning Engineers in Israel.

🎯 Team & Company Context

🏢 Company Culture

Industry: Stampli is a leading AI-driven financial operations company, revolutionizing the procure-to-pay lifecycle with its AI assistant, Billy the Bot™.

Company Size: Stampli is a scale-up with a flat, collaborative culture that values curiosity, innovation, and speed. With over 1,600 customers and $100B+ in invoices processed annually, Stampli is well-positioned for continued growth.

Founded: Stampli was founded in 2013 and has since grown to become a leader in AI-driven financial operations, with offices in Mountain View, Nashville, and Austin.

Team Structure:

Stampli's AI team works closely with Marketing, Sales Operations, Product, and other teams to identify new growth opportunities and optimize automation performance.
The team is responsible for designing and implementing AI-powered automations, integrating AI tools across platforms, and developing systems for automated content generation and tailored demo recommendations.

Development Methodology:

Stampli follows an Agile/Scrum development methodology, with sprint planning, code review, testing, and quality assurance practices.
The team uses CI/CD pipelines and automated deployment strategies to ensure efficient and reliable software delivery.

Company Website: https://www.stampli.com/

📝 Enhancement Note: Stampli's company culture is characterized by its flat, collaborative structure, which encourages curiosity, innovation, and speed. This culture is reflected in the company's approach to AI-driven marketing and sales automation.

📈 Career & Growth Analysis

AI Systems Engineer Career Level: This role is at the mid-level (2-5 years) experience level, with a focus on designing and implementing AI-powered automations, integrating AI tools, and optimizing performance.

Reporting Structure: The AI Systems Engineer reports directly to the AI team lead and works closely with Marketing, Sales Operations, Product, and other teams to identify new growth opportunities and optimize automation performance.

Technical Impact: This role has a significant impact on Stampli's go-to-market strategy, enabling personalized outreach, automated content generation, and tailored demo recommendations through AI-driven marketing and sales automation.

Growth Opportunities:

Technical Leadership: As Stampli continues to grow, there are opportunities for the AI Systems Engineer to take on more technical leadership responsibilities, mentoring junior team members, and contributing to architecture decisions.
AI Specialization: With Stampli's focus on AI-driven growth, there are opportunities for the AI Systems Engineer to specialize in specific AI technologies, such as NLP, conversational design, or custom LLM development.
Cross-functional Collaboration: Working closely with Marketing, Sales Operations, Product, and other teams provides ample opportunities for the AI Systems Engineer to gain exposure to various aspects of the business and identify new growth opportunities.

📝 Enhancement Note: Given Stampli's focus on AI-driven growth and its flat, collaborative culture, there are numerous opportunities for the AI Systems Engineer to grow technically and take on more leadership responsibilities.

🌐 Work Environment

Office Type: Stampli's offices are modern, open-concept workspaces that foster collaboration and innovation. The company encourages a diverse, inclusive environment that values curiosity, creativity, and speed.

Office Location(s): Stampli has offices in Mountain View, Nashville, and Austin, with the AI team primarily based in Mountain View. The AI Systems Engineer will work from the Mountain View office two days a week (Tues-Thurs) and remotely the other three days.

Workspace Context:

Collaborative Environment: Stampli's offices are designed to facilitate collaboration and communication, with open workspaces, meeting rooms, and breakout areas.
Development Tools: The AI team uses a range of development tools, including Python, SQL, automation platforms (e.g., Zapier, Make), and AI tools and APIs (e.g., OpenAI, Anthropic). Stampli also provides access to cutting-edge AI tools, such as ChatGPT Enterprise and custom LLMs.
Cross-functional Collaboration: The AI Systems Engineer will work closely with Marketing, Sales Operations, Product, and other teams to identify new growth opportunities and optimize automation performance.

Work Schedule: The standard workweek is 40 hours, with flexible working hours to accommodate project deadlines and maintenance windows. The AI Systems Engineer will work from the office two days a week (Tues-Thurs) and remotely the other three days.

📝 Enhancement Note: Stampli's work environment is characterized by its modern, open-concept offices, which foster collaboration and innovation. The company's flexible work arrangement allows the AI Systems Engineer to balance on-site collaboration with remote work.

📄 Application & Technical Interview Process

Interview Process:

Technical Phone Screen (30 minutes): A brief phone call to assess your technical skills and understanding of AI-driven marketing and sales automation.
Technical Deep Dive (60 minutes): A more in-depth discussion of your technical skills, with a focus on your experience with AI tools, APIs, and automation platforms. You may be asked to complete a coding challenge or discuss a relevant project.
Behavioral & Cultural Fit Interview (30 minutes): An interview to assess your cultural fit with Stampli's values and team dynamics. You may be asked about your problem-solving skills, communication style, and approach to collaboration.
Final Decision & Offer (1-2 weeks): Following the interviews, Stampli will make a final decision and extend an offer to the successful candidate.

Portfolio Review Tips:

AI-driven Projects: Highlight AI-driven projects that demonstrate your ability to design and implement AI-powered automations, integrate AI tools, and optimize performance.
Automation Platforms: Showcase your experience with automation platforms (e.g., Zapier, Make) and AI tools and APIs.
Marketing & Sales Integration: Include projects that demonstrate your ability to integrate AI tools across marketing and sales platforms (HubSpot, Gong, LinkedIn, etc.).

Technical Challenge Preparation:

AI Tools & APIs: Brush up on your knowledge of AI tools and APIs, such as OpenAI, Anthropic, and other relevant platforms.
Automation Platforms: Familiarize yourself with automation platforms (e.g., Zapier, Make) and their features and limitations.
Marketing & Sales Platforms: Review the key features and functionalities of marketing and sales platforms (HubSpot, Gong, LinkedIn, etc.) and how they can be integrated with AI tools.

ATS Keywords: (Organized by category)

Programming Languages: Python, SQL, JavaScript
AI Tools & APIs: OpenAI, Anthropic, ChatGPT Enterprise, custom LLMs
Automation Platforms: Zapier, Make
Marketing & Sales Platforms: HubSpot, Gong, LinkedIn, Salesforce
Web Development Fundamentals: REST APIs, responsive design, performance optimization
Soft Skills: Problem-solving, communication, collaboration, creativity, innovation
Industry Terms: AI-driven marketing, AI-driven sales automation, AI governance, data privacy regulations

📝 Enhancement Note: Stampli's interview process is designed to assess the candidate's technical skills, cultural fit, and problem-solving abilities. The portfolio review and technical challenge preparation tips are tailored to the AI Systems Engineer role and focus on AI-driven marketing and sales automation.

🛠 Technology Stack & Web Infrastructure

AI Tools & APIs:

OpenAI, Anthropic, ChatGPT Enterprise, custom LLMs

Automation Platforms:

Zapier, Make

Marketing & Sales Platforms:

HubSpot, Gong, LinkedIn, Salesforce

Development & DevOps Tools:

Python, SQL, JavaScript, REST APIs, responsive design, performance optimization

📝 Enhancement Note: Stampli's technology stack is focused on AI-driven marketing and sales automation, with a strong emphasis on AI tools, APIs, and automation platforms. The company provides access to cutting-edge AI tools, such as ChatGPT Enterprise and custom LLMs, to boost efficiency and impact.

👥 Team Culture & Values

AI-driven Marketing Values:

Innovation: Stampli values innovation and encourages its team members to explore new AI-driven marketing and sales automation solutions.
Collaboration: The AI team works closely with Marketing, Sales Operations, Product, and other teams to identify new growth opportunities and optimize automation performance.
Data-driven Decision Making: Stampli emphasizes data-driven decision making and uses data to monitor and optimize automation performance.
User-centric Design: The AI team prioritizes user-centric design and focuses on creating personalized, relevant user experiences through AI-driven marketing and sales automation.

Collaboration Style:

Cross-functional Integration: The AI team works closely with Marketing, Sales Operations, Product, and other teams to identify new growth opportunities and optimize automation performance.
Code Review Culture: Stampli follows an Agile/Scrum development methodology, with code review, testing, and quality assurance practices.
Knowledge Sharing: Stampli encourages knowledge sharing and technical mentoring, with regular team meetings and workshops to discuss new AI-driven marketing and sales automation solutions.

📝 Enhancement Note: Stampli's AI-driven marketing values are characterized by its emphasis on innovation, collaboration, data-driven decision making, and user-centric design. The company's collaboration style is marked by its cross-functional integration, code review culture, and knowledge sharing.

⚡ Challenges & Growth Opportunities

Technical Challenges:

AI-driven Marketing & Sales Automation: Design and implement AI-powered automations that enable personalized outreach, automated content generation, and tailored demo recommendations.
AI Integration: Integrate AI tools across marketing and sales platforms (HubSpot, Gong, LinkedIn, etc.) into seamless GTM flows and develop systems for automated content generation and tailored demo recommendations.
Data-driven Optimization: Monitor and optimize automation performance using data-driven methods and develop documentation and governance standards for scalable AI automations.
AI Governance & Ethics: Ensure that AI-driven marketing and sales automation solutions comply with data privacy regulations and AI governance frameworks.

Learning & Development Opportunities:

AI-driven Marketing & Sales Automation: Stay up-to-date with the latest AI-driven marketing and sales automation trends and best practices.
AI Tools & APIs: Expand your knowledge of AI tools and APIs, such as OpenAI, Anthropic, and other relevant platforms.
Automation Platforms: Deepen your understanding of automation platforms (e.g., Zapier, Make) and their features and limitations.
Marketing & Sales Platforms: Gain a deeper understanding of marketing and sales platforms (HubSpot, Gong, LinkedIn, etc.) and how they can be integrated with AI tools.
Technical Mentorship: Seek out technical mentorship opportunities within Stampli to grow your skills and advance your career.

📝 Enhancement Note: Given Stampli's focus on AI-driven marketing and sales automation, the technical challenges and learning opportunities are tailored to this specific role. The company provides numerous opportunities for the AI Systems Engineer to grow technically and take on more leadership responsibilities.

💡 Interview Preparation

Technical Questions:

AI-driven Marketing & Sales Automation: Be prepared to discuss your experience designing and implementing AI-powered automations, integrating AI tools, and optimizing performance.
AI Tools & APIs: Brush up on your knowledge of AI tools and APIs, such as OpenAI, Anthropic, and other relevant platforms.
Automation Platforms: Familiarize yourself with automation platforms (e.g., Zapier, Make) and their features and limitations.
Marketing & Sales Platforms: Review the key features and functionalities of marketing and sales platforms (HubSpot, Gong, LinkedIn, etc.) and how they can be integrated with AI tools.
Data-driven Optimization: Prepare to discuss your experience monitoring and optimizing automation performance using data-driven methods.

Company & Culture Questions:

AI-driven Marketing Culture: Research Stampli's approach to AI-driven marketing and sales automation and be prepared to discuss how your skills and experience align with the company's goals.
Collaboration & Team Dynamics: Familiarize yourself with Stampli's flat, collaborative culture and be prepared to discuss your approach to collaboration and teamwork.
Data-driven Decision Making: Prepare to discuss your experience with data-driven decision making and how you use data to optimize automation performance.

Portfolio Presentation Strategy:

AI-driven Projects: Highlight AI-driven projects that demonstrate your ability to design and implement AI-powered automations, integrate AI tools, and optimize performance.
Automation Platforms: Showcase your experience with automation platforms (e.g., Zapier, Make) and AI tools and APIs.
Marketing & Sales Integration: Include projects that demonstrate your ability to integrate AI tools across marketing and sales platforms (HubSpot, Gong, LinkedIn, etc.).

📝 Enhancement Note: Stampli's interview process is designed to assess the candidate's technical skills, cultural fit, and problem-solving abilities. The interview preparation tips are tailored to the AI Systems Engineer role and focus on AI-driven marketing and sales automation.

📌 Application Steps

To apply for this AI Systems Engineer position:

Tailor Your Resume: Highlight your experience with AI tools, APIs, and automation platforms, as well as your understanding of marketing and sales platforms (HubSpot, Gong, LinkedIn, etc.).
Prepare Your Portfolio: Showcase your AI-driven projects that demonstrate your ability to design and implement AI-powered automations, integrate AI tools, and optimize performance.
Research Stampli: Familiarize yourself with Stampli's approach to AI-driven marketing and sales automation and be prepared to discuss how your skills and experience align with the company's goals.
Practice Technical Interview Questions: Brush up on your knowledge of AI tools, APIs, automation platforms, and marketing and sales platforms (HubSpot, Gong, LinkedIn, etc.).
Prepare for Behavioral & Cultural Fit Interview: Be prepared to discuss your problem-solving skills, communication style, and approach to collaboration.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development/server administration industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

AI Systems Engineer