Senior AI/ML Engineer

🏢 Tempo Io · 📍 United States · 💼 remote · ⏰ FullTime

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Position Summary & Responsibilities

With over 30,000 customers, including a third of Fortune 500 companies, Tempo is trusted by organizations across the globe to make their workflows work better.

We create a suite of integrated solutions for time management, resource planning, budget management, roadmapping, program management, reporting and more. We create the tech that enables the modern team to deliver – for every step from first vision to value.

Since our beginning in 2007 as a project to make a time-tracking tool to help a client – Tempo has expanded to become the #1 time management add-on for Jira, and we have developed and acquired a multitude of tools to become one of the most trusted names in the Atlassian ecosystem.

We want everyone to work better – but we also want to be a tech company with a heart. Join us as we continuously innovate our award-winning products, create new solutions, and help the world work smarter, not harder.

About the role:

We’re looking for a Senior AI/ML Engineer who will be working at the intersection of LLMs, real-time signal processing, and enterprise decision-making. This is not a research role or an isolated AI team position. You’ll sit alongside domain engineers as you ship production AI systems to enterprise customers.

This is not the typical AI/ML engineering role. We’re looking for someone who uses AI heavily in their own daily work, has built and shipped features powered by LLMs and autonomous agents, and has strong opinions on what good AI product engineering actually looks like. If your go-to move when facing a complex problem is to reach for an agent pipeline rather than a static script, you’re the kind of engineer we have in mind.

You’ll initially pair with our external AI partners to absorb their work and establish the patterns the broader engineering team will follow. Over time, you become the internal anchor for AI engineering — the person the rest turn to for prompt design, evaluation strategy, model selection, and agent architecture decisions.

What you’ll do:

Signal detection and anomaly detection

Statistical and ML-based detectors that identify meaningful pa

🎯 Candidate Preparation Guide For Tempo Io Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Evaluating your ability to manage complex Jira ecosystems, streamline time-tracking workflows, and scale enterprise SaaS products with rigorous data integrity.

📋 Preparation Priorities (Key Areas to Clarify):

1. Recommending building custom internal ticketing instead of leveraging existing plugin architectures.
2. Showing poor familiarity with agile capacity planning and billable hours tracking.
3. Lacking concrete metrics on retention and churn reduction for SaaS integrations.

✨ Recommended Role Alignment Hook:

I build scalable marketplace integrations that turn complex administrative workflows into invisible, high-retention habits for engineering teams.

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