Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Join Sitetracker as a Senior Product Engineer and contribute to the future of enterprise software by harnessing cutting-edge AI. You'll bring strong technical skills to deliver high-quality software solutions, leveraging AI to increase development velocity and throughput. This is a unique opportunity to apply legitimate AI for commercial use, combining established engineering practices with a pioneering spirit to deliver impactful solutions.

Responsibilities

Contribute to the technical design and implementation of our groundbreaking new AI harness solution.
Own features and components end-to-end, moving beyond traditional SaaS paradigms to help build highly scalable, high-throughput AI infrastructure.
Understand product strategy, dig into user needs, and use that context to make smart decisions about what to build and how to build it.
Absorb the problem space, prioritize effectively, uphold a high standard of engineering, and ship solutions that move the product forward.
Break down challenges into iterative solutions, keep stakeholders informed, and find ways to unblock yourself.
Collaborate across teams to deliver scoped work and contribute to solving problems that enhance efficiency across the Engineering organization.
Take ownership of features end-to-end, from implementation through testing and monitoring.
Implement and deliver AI-driven product capabilities with guidance on architectural direction.
Write clean, scalable, and efficient code for our core AI harness.
Work with Large Language Models (LLMs) and other AI components, following established security practices.
Contribute to the design of fault-tolerant systems that orchestrate multiple AI agents.
Develop an understanding of customer challenges and the value your team's AI solutions bring.
Write thorough tests, including strategies for non-deterministic AI outputs.
Follow established data privacy guardrails in all AI systems you build.
Contribute to automated evaluation pipelines that assess AI output quality.
Identify opportunities to improve existing AI harness applications and surface them to the team.
Actively participate in code reviews and knowledge-sharing with teammates.
Seek and incorporate feedback to continuously improve your own craft.
Contribute to engineering discussions and help the team reach sound technical decisions.
Communicate cross-team dependencies early to keep projects on track.
Adopt and champion emerging engineering standards for AI development.
Clearly articulate technical decisions and trade-offs.
Collaborate effectively across Product and Engineering teams.
Communicate AI concepts in accessible terms to both technical and non-technical audiences.
Share knowledge about the AI harness with teammates and stakeholders.
Contribute ideas to the product roadmap by staying current with emerging AI capabilities.
Ramp up on the team's architecture, codebase, and AI tooling.
Contribute to your first AI-driven product features with support from senior engineers.
Independently deliver AI-driven product features end-to-end, with increasing complexity.
Actively participate in design discussions and contribute to team best practices around secure and scalable AI development.
Consistently deliver well-crafted, end-to-end AI-driven product capabilities that contribute to increased velocity and throughput.
Serve as a reliable contributor who elevates team quality through strong technical work, thoughtful code reviews, and knowledge sharing.

Requirements

Strong technical skills
Ability to understand product strategy
Ability to dig into user needs
Ability to make smart decisions about what to build and how to build it
Ability to uphold a high standard of engineering
Ability to ship solutions that move the product forward
Ability to break down challenges into iterative solutions
Ability to keep stakeholders informed
Ability to find ways to unblock yourself
Ability to collaborate across teams
Ability to contribute to solving problems that enhance efficiency across the Engineering organization
Ability to take ownership of features end-to-end, from implementation through testing and monitoring
Ability to implement and deliver AI-driven product capabilities with guidance on architectural direction
Ability to write clean, scalable, and efficient code for our core AI harness
Ability to work with Large Language Models (LLMs) and other AI components, following established security practices
Ability to contribute to the design of fault-tolerant systems that orchestrate multiple AI agents
Ability to develop an understanding of customer challenges and the value your team's AI solutions bring
Ability to write thorough tests, including strategies for non-deterministic AI outputs
Ability to follow established data privacy guardrails in all AI systems you build
Ability to contribute to automated evaluation pipelines that assess AI output quality
Ability to identify opportunities to improve existing AI harness applications and surface them to the team
Ability to actively participate in code reviews and knowledge-sharing with teammates
Ability to seek and incorporate feedback to continuously improve your own craft
Ability to contribute to engineering discussions and help the team reach sound technical decisions
Ability to communicate cross-team dependencies early to keep projects on track
Ability to adopt and champion emerging engineering standards for AI development
Ability to clearly articulate technical decisions and trade-offs
Ability to collaborate effectively across Product and Engineering teams
Ability to communicate AI concepts in accessible terms to both technical and non-technical audiences
Ability to share knowledge about the AI harness with teammates and stakeholders
Ability to contribute ideas to the product roadmap by staying current with emerging AI capabilities
Ability to ramp up on the team's architecture, codebase, and AI tooling within 90 days
Ability to contribute to your first AI-driven product features with support from senior engineers within 90 days
Ability to independently deliver AI-driven product features end-to-end, with increasing complexity within 180 days
Ability to actively participate in design discussions and contribute to team best practices around secure and scalable AI development within 180 days
Ability to consistently deliver well-crafted, end-to-end AI-driven product capabilities that contribute to increased velocity and throughput within 365 days
Ability to serve as a reliable contributor who elevates team quality through strong technical work, thoughtful code reviews, and knowledge sharing within 365 days

Skills

AI
Enterprise Software
SaaS
AI Harness
Large Language Models (LLMs)
AI Agents
Data Privacy
Automated Evaluation Pipelines
Product Roadmap
AI Development

Experience Level

Senior

Salary/Compensations

$85,000 - $165,000 a year

About the Company

Sitetracker is a company focused on the future of enterprise software by harnessing cutting-edge AI.