Sr. Systems Engineer, Sales & Marketing

• Bachelor’s or Master’s 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 full‑stack 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, Node.js, and/or Javascript, with a track record of delivering reliable, maintainable code in collaborative engineering teams.
• Hands‑on experience designing and operating distributed systems and robust, fault‑tolerant integrations (e.g., REST/gRPC services, event‑driven architectures, or data pipelines) that support critical business workflows.
• Practical experience building or integrating GenAI/ML‑powered features or services in production—such as LLM‑based workflows, ML‑driven recommendations, or intelligent automation—including 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 spec‑driven, 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 AI‑assisted output and maintain high standards for quality, security, and maintainability.
• Excellent communication, collaboration, and leadership skills, with the ability to work effectively across cross‑functional, diverse teams and to explain complex technical concepts—including GenAI/ML tradeoffs—to non‑technical partners.
• Outcome‑oriented 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.
• 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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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

$132,415—$272,619 USD