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Operations Manager

Asseti · Denver, Colorado, United States · Posted Jun 15, 2026

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About the company

Asseti is the category-defining platform for asset intelligence and operations, used by some of the world's largest real estate owners to understand their assets, optimize portfolio performance, and make smarter operational, maintenance, and capital decisions.

We turn complex, fragmented asset information into a single source of truth, combining real-time condition insights with the operational context needed to prioritize work, manage risk, and drive efficient action across large property networks.

Asseti automates condition detection, triage, repair prioritization, and cost forecasting at scale. We streamline asset operations by enabling teams to identify issues, understand impact, coordinate responses, and measure improvement, all within one unified platform.

We're building the intelligence and operational backbone that helps leading organizations run their assets with clarity, consistency, and confidence.

Role overview

We're looking for an Operations Manager to own the day-to-day process that gets data ordered, captured, and delivered to enterprise customers. You'll sit within our delivery function, reporting to the Delivery Lead, and work in close partnership with our data processing and platform engineering team. Your core job is to keep that machine running smoothly and to make it a little faster and less manual every cycle.

This is an execution-first role. You don't wait to be told what needs doing. When something is off track, you surface it immediately with a path to resolution, not just a status update. When a process is broken, you fix it at the right level of complexity for right now, then improve it from there. A working solution shipped today beats a perfect one delivered in six weeks.

You'll use AI as a core part of how you operate. Not as a novelty, but as a practical way to close gaps, draft SOPs, and build lightweight automations that take manual work out of the pipeline. The right person reaches for AI as naturally as a spreadsheet and gets sharper at it over time.

Key responsibilities

Own the full order lifecycle from submission through to processed delivery, including creation, tracking, QA, and handoff to the data processing team, with a 24-hour order creation SLA as the baseline

Monitor order queues and delivery pipelines proactively. Surface and resolve blockers before they become visible to others, and escalate the ones that need the Delivery Lead

Run the QA process for survey data entering the processing pipeline. Follow and improve practical, repeatable steps that work today rather than waiting for a fully automated system

Work closely with the processing and engineering team to understand what clean data looks like, where common failures occur, and what upstream steps prevent downstream rework

Coordinate external drone pilots and ground-inspection contractors: confirm schedules, resolve boundary errors and access issues, and ensure jobs are collected correctly the first time

Help manage the contractor network against defined scopes, rates, and performance expectations, and hold vendors accountable to them

Keep Customer Success and account managers supplied with a current, accurate picture of delivery status. Communicate proactively when accounts are at risk, before issues surface to the client

Use AI tools including Claude and Cursor to prototype process fixes, draft SOPs, analyze operational data, and build lightweight automations that eliminate manual work across the delivery pipeline

Look for the next thing to systematize, so each improvement compounds on the last rather than solving today's problem in isolation

Track key operational metrics including order cycle time, QA pass rates, collection SLA compliance, and cost per site, in partnership with the BizOps team

Provide clear, concise outputs from any process or analytical work

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