Director, restaurant operations jobs: what the 2026 posting does not say out loud

The high-volume boards are Indeed Jobs, ZipRecruiter, Culinary Agents, Poached, and Restaurant Association job boards. Multi-unit groups (20+ locations) typically post directly on their own careers pages and syndicate through . Regional chains (5 to 20 locations) are more common on Indeed. The actual job title varies: Director of Operations, Director of Restaurant Operations, Director of Restaurant Ops, Regional Director of Operations, VP of Operations (at larger groups), and Multi-Unit Ops Director. Always search all of these variants; postings are syndicated inconsistently across boards.

Typical base salary for a Director of Operations at a US multi-unit restaurant group is between $110,000 and $170,000, with the median landing around $135,000. Larger chains (50+ units) pay closer to $150,000 to $200,000 plus bonus. QSR and fast-casual groups tend to sit at the lower end of that band; full-service and polished-casual sit higher. Most postings include a 10 to 25 percent performance bonus tied to unit P&L, comp rate, and guest satisfaction. In coastal metro areas (SF, NYC, LA, Seattle) add 15 to 25 percent to each tier. Variable bands are normal; the exact number depends on number of units supervised, whether the role has regional vs. group scope, and whether the operator is VC-backed or owner-operated.

Governance of the AI phone channel at each location. A growing share of multi-unit groups have deployed AI phone answering (PieLine, SoundHound, ConverseNow, Loman AI, and others) at one or more locations, which means roughly 90 percent of inbound calls now resolve without a human. The remaining ~10 percent is an escalation stream that still needs someone to own, interpret, and act on weekly. The DOO is that owner. Expect questions like: how would you structure your Monday review once every location answers 100 percent of calls, what do you do with a location whose complaint-escalation rate doubles in a week, and how would you separate a kitchen problem from a menu-freshness problem in the escalation categories.

Any multi-unit group that has gone live on an AI phone platform in the last 18 months is effectively hiring for it, even if the posting does not name the technology. Publicly, PieLine has Idly Express (Almaden) running 90 percent-plus end-to-end AI call handling and Mylapore (11 locations, Bay Area) rolling out across the group, with owner Jay Jayaraman endorsing on . Beyond PieLine's book, any chain using SoundHound (Chipotle, White Castle, Applebee's), ConverseNow (larger pizza chains), or similar is in the same situation. The posting might mention 'guest experience analytics,' 'phone channel oversight,' or 'tech-stack ownership'; that is the signal.

Three concrete items. First, any direct experience reading a per-location call log or call-recording review (even quarterly). Second, any weekly or monthly KPI review you have owned that mixed lagging customer signals with leading operational signals (comp rate, void rate, complaint rate, turnover). Third, any rollout of a new location-level technology you supervised end-to-end, even if it was not AI (POS migration, delivery-platform integration, kitchen-display rollout). The hiring manager is looking for a candidate who has done the meta-skill: taking a new per-location data feed, standardizing it, and making it usable in a Monday ops review. The AI phone specifics can be learned in week one; the governance instinct cannot.

The escalation rate is the fraction of inbound phone calls that an AI answering system cannot resolve end-to-end and that get warm-transferred to a human. At Idly Express (a live PieLine customer), roughly 90 percent of calls resolve without a human, which puts the escalation rate at about 10 percent. That 10 percent is pre-categorized (complaint, catering, edge case) and delivered to a manager console with full transcript. A hiring manager who runs this stack at multiple locations needs a DOO who can explain why escalation rate is a better per-unit KPI than answer rate (answer rate collapses to 100 percent at every unit and stops discriminating between sites, which escalation rate does not). If you can walk into the interview and explain this unprompted, you are ahead of 90 percent of candidates.

No. Platform-specific experience is a nice-to-have, not a must-have. Hiring managers for these roles know the software stack changes every 18 months and that specific vendor familiarity ages out. What they are testing for is whether you treat the phone as a measurable, governable channel rather than as an unstructured 'customers call, staff answer' pattern. A candidate with zero PieLine experience who talks fluently about escalation categories, per-location comparability, and how a complaint stream connects to comp rate will outperform a candidate with dashboard-clicking experience and no operational framing.

Most postings require 7 to 10 years of multi-unit operations experience, a bachelor's degree (often waivable for in-industry candidates with strong operator track records), a demonstrable unit-level P&L track record, experience managing 4+ general managers directly, and willingness to travel 25 to 50 percent. Some larger groups require a ServSafe Manager certification or equivalent. VC-backed or franchise-focused groups may add SaaS or franchise operations exposure as a preferred item. If a posting lists 'experience with AI or automation in a restaurant environment' as a requirement, that is a 2026 update and the language around escalation streams will be relevant in the interview.

In 2020, a DOO spent a large fraction of their time on reachability issues: was the phone answered, were staff trained to handle complex orders, was the online menu accurate, how many orders were missed at Friday peak. In 2026 at groups using AI phone answering, those questions are structurally closed at every unit. Reachability is 100 percent. Staff capacity no longer bottlenecks at the phone. What expands to fill the time is analysis of the escalation stream per unit, coordination with the kitchen and delivery partners on the categories that show up in that stream, and tying customer-facing phone signals back to labor and food-cost KPIs that were previously separate. The role gets more analytical and more cross-functional.

Three practical steps. First, call their main restaurant line during business hours and again at 11pm or 6am. If a natural-sounding AI voice takes the order, they are live on a platform. Second, check the team's for any ops or tech leader posting about 'phone automation,' 'AI phone,' or 'call volume'; this is where rollout announcements typically show up. Third, check the operator's press page and recent investor or franchisee announcements for any mention of a phone platform. Walking into the interview already knowing which platform they use (or do not use) is a quiet signal that you understand the ops stack beyond the job description.

Ask: 'What is the escalation rate at the unit that has been live the longest on your AI phone platform, and what is the most common escalation category?' If they are running AI phone answering at any location, they will have a number. The specific number does not matter; the question signals that you understand the operational surface the role is being hired to own. If they do not run AI phone answering, the question pivots naturally into 'how are you thinking about the phone channel across the group,' which is still the right DOO conversation.

Most DOO roles require on-site presence at a home office or home unit plus heavy travel (25 to 50 percent) across the assigned units. A small but growing number of multi-unit groups with 3 to 8 locations clustered in a single metro area will entertain a hybrid arrangement where the DOO works from a central restaurant two or three days a week and rotates through the other units. Fully remote is rare. What is increasingly remote-friendly is the analytical portion of the role (the Monday review, the escalation analysis, the cross-unit pattern detection), which means DOOs at AI-phone-enabled groups can do more of their week from anywhere and less of it from a given unit's back office.