General Manager, Operations Expert

Ethos; United States; Remote; USD 80,000 - 113,000; Part time

Job summary

Ethos is offering a fully remote General Manager, Operations role paying $70 per hour for 5 to 20 hours per week, with ASAP start. Workers set their own schedule and may work more if desired. The project involves managing capacity planning models, inventory forecasting, and workflow processes within an AI-assisted platform.

The position is remote, with flexible hours across platforms. Ideal candidates have a proven track record in operations, SOP playbook creation, and high-level

Qualifications

• Proven track record managing capacity planning models, inventory forecasting spreadsheets, or workflow maps in a fast-paced operations environment.
• Experience authoring SOP playbooks and process improvement business cases that measurably reduced cost or cycle time.
• Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail.

Skills

Capacity planning

Inventory forecasting

Process mapping

Operations experience

Job description

Pay

$70/hr The rate in the listing. From the Ethos listing, checked Nov 4. Listed Today

Compensation

$70/hour Commitment: Flexible, 5-20 hours per week (or more if desired) Location: Fully remote, work on your own schedule Start date: ASAP

Qualifications

• Proven track record managing capacity planning models, inventory forecasting spreadsheets, or workflow process maps in a fast-paced operations environment
• Experience authoring standard operating procedure playbooks and process improvement business cases that measurably reduced cost or cycle time
• Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

How long hiring takes Across the platforms we list, people typically hear back about a hire within

about

• 25 days of applying
• Within 2 weeks – ~30%
• Within 6 weeks – ~65%
• Within 3 months – ~85%

Prepare for the Ethos call

Ethos’s AI interviewer asks about your Operations Manager background. These are our own practice questions for that work, not Ethos’s.

How do you prioritize competing operational tasks when everything seems urgent? I evaluate each task by actual business impact and how time‑sensitive it genuinely is, rather than by who’s asking loudest, since urgency is often inflated by whoever raised the request. I communicate the prioritization clearly so stakeholders understand where their task actually sits, rather than leaving them to assume it’s been forgotten.

What’s your approach to identifying operational risks before they become actual problems? I look at processes with single points of failure, like a critical task that only one person knows how to do, since those tend to be where risk concentrates even if day‑to‑day operations look smooth. I build in redundancy for the highest‑impact risks rather than trying to address every possible risk equally.

How do you communicate an operational change to a team in a way that gets genuine buy‑in rather than just compliance? I explain the reasoning behind the change and how it affects their day‑to‑day work specifically, rather than just announcing what’s changing, since people are more likely to actually adopt a change they understand the purpose of. I also build in a channel for feedback rather than treating the announcement as final and closed.

What’s your process for deciding whether an operational inefficiency is worth the cost of fixing versus living with? I weigh the cumulative cost of the inefficiency over time against the cost and disruption of fixing it, rather than fixing everything that’s technically suboptimal. A minor inefficiency in a low‑volume process might not be worth the disruption of changing it, while the same inefficiency in a high‑volume process usually is.

Common questions

How and when does Ethos pay experts? Within 30 days of your invoice, after a project closes. Some AI training platforms pay weekly, so plan for the longer wait.

Is Ethos regular AI training work like rating chatbot responses? No. Ethos is an expert network. AI labs, investment funds and large companies pay for your domain knowledge (deal analysis, clinical reasoning, legal logic, financial modeling) in three formats: multi‑week consulting engagements, 30 to 60 minute advisory calls, and research surveys. Listings like this one are the AI‑lab engagements, where you write or review expert material for a model.

How many hours a week is this General Manager, Operations work? Between 5 and 20 hours a week. At $70/hr that is $350 to $1,400 a week. You set your own hours.

What experience does this General Manager, Operations listing ask for? The listing asks for proven track record managing capacity planning models, inventory forecasting spreadsheets, or workflow process maps in a fast‑paced operations environment; experience authoring standard operating procedure playbooks and process improvement business cases that measurably reduced cost or cycle time; and expert‑level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail. Ethos’s interviewer builds your profile from your CV, so have the roles that show this ready to talk through.

How much does this specific role pay? This listing is posted at $70/hr, an hourly rate. Pay can change after we check the listing, so confirm the rate on the platform’s application page.

What happens when I click Apply on this listing? The link opens Ethos’s sign‑up. There is no form for this listing: Ethos’s AI interviewer asks about your career in a 5 to 15 minute call, builds your profile from it, and then matches you to projects like this one. Keep your CV open and cover the experience the Qualifications above ask for.

Who built Ethos and is it legitimate? Yes. Ethos was founded in London in 2024 by James Lo (McKinsey, SoftBank Vision Fund) and Daniel Mankowitz (Google DeepMind research scientist and lead author of AlphaDev). It raised a $22.75M Series A led by a16z in May 2026, with General Catalyst and XTX Markets participating, and works with AI labs, private equity firms, hedge funds and consultancies. The link on this page is an affiliate link; it doesn’t affect your pay or the projects you’re offered.