Sr. Systems Engineer, Sales & Marketing

About Pinterest:

Millions of people around the world come to our platform to find creative ideas dream about new possibilities and plan for memories that will last a lifetime. At Pinterest were on a mission to bring everyone the inspiration to create a life they love and that starts with the people behind the product.

Discover a career where you ignite innovation for millions transform passion into growth opportunities celebrate each others unique experiences and embrace theflexibility to do your best work. Creating a career you love Its Possible.

At Pinterest AI isnt just a feature its a powerful partner that augments our creativity and amplifies our impact and were looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities well explore your foundational skills and how you collaborate with AI.

Through our interview process what matters most is that you can always explain your approach showing us not just what you know but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Are you passionate about building impactful products for sales and finance teams Come join the IT Enterprise Systems team at Pinterest where you will be responsible for advancing our sales and marketing systems.

What youll do:

• Design build and operate fullstack applications and services on Pinterests enterprise infrastructure to support our Sales Marketing and Finance teams from backend services and APIs through integrations and userfacing workflows.
  
  
• Lead the technical design and implementation of GenAI/MLpowered services and pipelines that automate and augment enterprise workflows (for example summarizing sales interactions enriching account data or surfacing intelligent recommendations) including clear evaluation frameworks observability and validation guardrails.
  
  
• Own the endtoend software development lifecycle for these systems: requirements gathering architecture implementation testing deployment monitoring and continuous improvement.
  
  
• Partner closely with product managers business systems analysts and other engineers to translate ambiguous business needs into welldefined technical plans success metrics and deliverablesand to make thoughtful tradeoffs between scope risk and speed.
  
  
• Use AI coding tools and agents to accelerate development responsibly (e.g. drafting code and tests iterating on designs summarizing findings) while applying rigorous testing code review and observability to ensure quality and reliability.
  
  
• Mentor and coach other engineers on system design GenAI/ML patterns and AIaugmented workflows contributing to technical decisionmaking and raising the bar on engineering practices within the team.

What were looking for:

• Bachelors or Masters degree in Computer Science Software Engineering or a related field or equivalent combination of education and experience.
  
  
• Experience building systems or analytics used by Sales and/or Marketing teams (for example CRM or sales productivity tools campaign management and measurement or revenue operations workflows) with a clear understanding of how these partners use data and tooling to hit their goals.
  
  
• 10 years of software engineering experience building and operating production systems including fullstack applications and/or backend services on a modern cloud platform (such as AWS or similar). Experience in enterprise or business systems environments is a plus.
  
  
• Strong proficiency in Python and experience with at least one of: Java and/or Javascript with a track record of delivering reliable maintainable code in collaborative engineering teams.
  
  
• Handson experience designing and operating distributed systems and robust faulttolerant integrations (e.g. REST/gRPC services eventdriven architectures or data pipelines) that support critical business workflows.
  
  
• Practical experience building or integrating GenAI/MLpowered features or services in productionsuch as LLMbased workflows MLdriven recommendations or intelligent automationincluding an understanding of evaluation observability and common failure modes.
  
  
• Demonstrated ability to use AI tools and agents to write review and validate detailed technical design documents (TDDs) specifications and test plans as part of a specdriven agentic development workflow while maintaining ownership of technical decisions quality and correctness.
  
  
• Experience using GenAI coding tools (for example Cursor Claude Code or similar) and/or agents in your development workflow with a demonstrated ability to validate AIassisted output and maintain high standards for quality security and maintainability.
  
  
• Excellent communication collaboration and leadership skills with the ability to work effectively across crossfunctional diverse teams and to explain complex technical conceptsincluding GenAI/ML tradeoffsto nontechnical partners.
  
  
• Outcomeoriented mindset: you focus on delivering business outcomes rather than just technical outputs using technology and AI thoughtfully to positively impact key performance metrics for Sales Marketing and Finance.
  
  
• Salesforce engineering experience (for example Sales Cloud Service Cloud or Salesforce integrations) is a plus especially where it supports Sales and Marketing workflows.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times every 6 months and therefore can be situated anywhere in the country.

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