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About the Role

Join Sitetracker as a 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 deliver high-quality software solutions
Leverage AI to increase development velocity and throughput
Apply legitimate AI for commercial use
Combine established engineering practices with a pioneering spirit
Understand product strategy
Dig into user needs
Make smart decisions about what to build and how to build it
Absorb the problem space
Prioritize effectively
Uphold a high standard of engineering
Ship solutions that move the product forward
Break down challenges into iterative solutions
Keep stakeholders informed
Find ways to unblock yourself
Collaborate across teams to deliver scoped work
Solve 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
Write clean, scalable, and efficient code
Work with Large Language Models (LLMs) and other AI components
Follow established security practices
Contribute to the design of fault-tolerant systems
Orchestrate multiple AI agents
Develop an understanding of customer challenges
Understand the value your team's AI solutions bring
Write thorough tests
Develop strategies for non-deterministic AI outputs
Follow established data privacy guardrails
Contribute to automated evaluation pipelines
Assess AI output quality
Identify opportunities to improve existing AI harness applications
Surface opportunities to the team
Actively participate in code reviews
Engage in knowledge-sharing with teammates
Seek and incorporate feedback
Continuously improve your own craft
Contribute to engineering discussions
Help the team reach sound technical decisions
Communicate cross-team dependencies early
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
Share knowledge about the AI harness with teammates and stakeholders
Contribute ideas to the product roadmap
Stay current with emerging AI capabilities
Ramp up on team's architecture, codebase, and AI tooling within 90 days
Contribute to first AI-driven product features within 90 days
Independently deliver AI-driven product features end-to-end within 180 days
Actively participate in design discussions within 180 days
Contribute to team best practices within 180 days
Consistently deliver well-crafted, end-to-end AI-driven product capabilities within 365 days
Serve as a reliable contributor within 365 days
Elevate team quality through strong technical work, thoughtful code reviews, and knowledge sharing within 365 days

Skills

AI
Enterprise Software
SaaS
Large Language Models (LLMs)
AI Agents
Data Privacy
Automated Evaluation Pipelines
Code Reviews
Knowledge Sharing
Technical Discussions
Roadmap Contribution
Emerging AI Capabilities

Salary/Compensations

$85,000 - $165,000 a year