Staff Software Engineer - AI Platform

About the company

The company is the leading Sales Performance Management platform, helping enterprises design, manage, and optimize their incentive compensation programs. Backed by Sequoia, Accel, and Y Combinator, we're expanding from commission management into sales planning and enterprise performance management—all domains ripe for AI innovation.

About the Role

The company is building AI capabilities that will transform how enterprises manage sales performance. We're looking for a Staff Software Engineer to set the technical strategy for our Agentic SDK team, an internal developer platform that enables product teams across the company to build AI-powered features.

This is a strategic technical leadership role with multi-year, multi-team scope. You'll define the architecture and technical direction for AI at the company, making decisions that have no clear answer and partnering with senior Engineering, Product, and Design leadership to shape our long-term vision. You'll be responsible for technical choices that affect the entire organization, from platform design to engineering-wide quality standards.

As the technical anchor on a small, high-impact team, you'll lead by influence across organizational boundaries. You'll drive alignment between product teams consuming the Agentic SDK and the platform capabilities we build. You'll establish the bar for engineering excellence and invest deeply in coaching P4 engineers toward staff-level impact.

This is a rare greenfield opportunity to define how AI gets built at a growing enterprise software company. You'll shape not just the technology, but the culture and practices that scale with the organization.

Responsibilities

• Set the multi-year technical strategy for AI platform development, partnering with senior EPD leadership on long-term vision

• Architect foundational AI systems that serve multiple product teams, including LLM orchestration frameworks, MCP infrastructure, and agent patterns

• Own technical decisions with organization-wide impact where the right answer is ambiguous or contested

• Define engineering-wide quality standards and best practices for AI development, establishing patterns that scale across teams

• Drive technical alignment across the Agentic SDK team and product teams consuming AI capabilities

• Invest deeply in coaching P4 engineers, helping them develop toward staff-level scope and strategic thinking

• Represent the company's technical perspective in industry discussions, open-source contributions, or technical publications

Requirements

• 8+ years of professional software engineering experience with demonstrated progression into staff-level technical leadership

• Deep expertise in LLM orchestration: production experience building agent frameworks, including agent design patterns, tool integration, and workflow optimization

• Significant experience designing MCP integrations and knowledge systems at scale, including tool server architecture, embedding pipelines, and context optimization

• Track record of setting technical strategy that spans multiple teams and multi-year time horizons

• Experience partnering with senior leadership (Directors, VPs) to align technical direction with business objectives

• Demonstrated ability to make high-stakes technical decisions under extreme ambiguity

• Strong mentorship track record, particularly in developing senior engineers toward staff-level impact

• Demonstrated curiosity and continuous learning in the rapidly evolving AI/LLM space

Bonus Points

• Strong proficiency in Python and experience with Django or similar backend frameworks

• Full-stack capabilities with React and TypeScript

• Experience building and scaling internal AI/ML platforms or developer experience infrastructure

• Familiarity with LLM orchestration frameworks (LangChain, LangGraph, or equivalent)

• Deep expertise in advanced agent architectures: multi-agent coordination, autonomous planning, or complex tool ecosystems

• Experience with AI evaluation, observability, and production monitoring at enterprise scale

• Published technical writing, conference talks, or significant open-source contributions in AI/ML

• Background building AI-powered products that shipped to enterprise customers with measurable business impact

• Experience at a B2B SaaS company during periods of significant growth or platform expansion

• Familiarity with sales performance management, incentive compensation, or adjacent enterprise domains

Notice to Prospective Candidates

Only emails from [link for members] should be trusted.  We are aware of active recruitment scams using the company name, in which individuals pose as our recruiters and post fake remote job openings and make fake job offers on the Internet. Please note, we will never do the following:

• Attempt to correspond with a candidate using a free web-based account, such as an email address that ends in [link for members], [link for members], [link for members], etc.

• Make an offer of employment without conducting multiple rounds of interviews face-to-face using secure video-conferencing technology.

• Ask candidates to cash checks to buy equipment on behalf of the company.

• Ask candidates to make a payment in order to be considered for a position.

• Make early requests for candidates' personal information such as date of birth, passport details, credit card numbers, bank details and social security number, etc.

• Please note that we’ll only ask for more sensitive personal information in connection with background checks after an offer is made.

• the company works with a third-party Employer of Record to handle compliance, payroll, and as applicable benefits on our behalf

• Participate in an on-call rotation to provide after-hours support, ensuring timely resolution of critical issues and maintaining system uptime.

The company participates in E-Verify, web-based system that allows enrolled employers to confirm the eligibility of their employees to work in the United States