You Don't Need a Managing Editor. You Need a Content Engine. (A Reply to Contently.)
8 minutes
TL;DR
✅ Contently's diagnosis is correct: judgment is the new bottleneck. AI compressed production to near-zero — 86.4% of marketing teams now use AI with 42.5% reporting extensive use for content creation. What separates compounding content from AI-generated noise is the decisions about what gets published, what gets killed, whether the publication still sounds like itself a year in
❌ Contently's prescription is wrong: hiring one person to own that judgment is expensive, slow, and structurally unavailable to the early-stage teams who need it most. Senior in-house content roles run $120K-$220K fully loaded, 6-9 month time-to-impact, single point of failure
💰 The cost math: a $170K managing editor costs $14,166/month. A content engine that delivers the same judgment density costs $99-199/month. The ratio is 70-140x. Even if the engine produces only 50% of the judgment a senior managing editor would, the math still favors the engine 35-70x
🎯 The architectural shift: judgment isn't a person. It's a set of decisions encoded into a workflow. Brand Core captures the editorial worldview at setup. Strategy Map enforces topic structure. Content Scoring evaluates pieces against the publishing bar before they ship. Native publishing eliminates the production-to-publication friction that creates voice drift in the first place
🚨 The deeper problem with the "hire a managing editor" answer: it's a framing that only works for companies with the cash to hire one. The 2026 content-ops benchmark is roughly 1 dedicated FTE per $6M ARR through the $250M mark, meaning Series A startups with $5-15M ARR have 1-3 FTE total budget for content ops — none of which a managing editor specialist makes sense in
⚙️ At Averi, our judgment density runs at managing-editor level on a one-person team — and the engine is what makes that possible. 10.6M Google impressions in 12 months, 27,464 clicks, 35-40% AI citation rate across category prompts — without hiring a managing editor, because the judgment lived in the system instead of in a senior reviewer's head
Zach Chmael
CMO, Averi
"We built Averi around the exact workflow we've used to scale our web traffic over 6000% in the last 6 months."
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You Don't Need a Managing Editor. You Need a Content Engine. (A Reply to Contently.)
A week ago, Contently published "The #1 Role Your Content Team Needs in 2026 Is a Managing Editor".
It's a sharp piece, and the diagnosis is correct: production is no longer the bottleneck. AI compressed the cost and time of drafting to near-zero.
What separates content that compounds from content that floods the void is judgment — what gets published, what gets killed, whether the publication still sounds like itself a year in.
Contently is right about the diagnosis. They're wrong about the prescription.
Their argument, summarized fairly: the answer to the judgment bottleneck is hiring one person who owns it. A managing editor — paid, trusted, empowered, performing six specific functions (setting the publishing bar, stewarding brand voice, drawing the authorship line, etc.).
The premise underneath: judgment is a person, and the way to scale judgment is to hire the right person.
This premise is worth examining, because it leads to a recommendation that's expensive, slow, and structurally unavailable to most of the companies who need judgment most.
A senior managing editor in 2026 costs roughly $130K base, comparable to the $120K-$220K fully-loaded range for senior in-house content roles in B2B SaaS. With benefits, payroll tax, equipment, and software, the fully-loaded cost is closer to $170K/year.
Hiring takes 60-90 days. Onboarding to the level where the person can actually exercise judgment on your brand specifically — voice, ICP, competitive frame, editorial standards — takes another 90-180 days.
From the moment a Series A founder decides to fix the judgment bottleneck to the moment that fix is operational: 6-9 months and $170K of cash burn against runway that's getting tighter.
The smarter unit of analysis isn't a person. It's a system that produces judgment density at scale. That's what a content engine is. And that's the move Contently's framing misses.
See your company's current Marketing Maturity
What Contently gets right
I want to be specific about what's correct in their argument before I criticize what's not.
Production is no longer the bottleneck. 86.4% of marketing teams now use AI, with 42.5% reporting extensive use for content creation. Any team with a credit card and a prompt library can fill next quarter's calendar in days. AI-powered teams now deliver content 84% faster than traditional workflows, and AI-generated content costs roughly 4.7x less than human-written content.
Volume is no longer the constraint, and Contently is right that the bottleneck has shifted.
Judgment is the new bottleneck. When the marginal cost of a piece approaches zero, the marginal cost of figuring out which pieces are worth shipping dominates the workflow. The decision about what to publish, kill, refresh, or retire — these are the decisions that determine whether a content library compounds or just accumulates noise. Only 19% of content marketing teams track AI-specific KPIs, and only 41% of marketers can prove content marketing ROI to leadership — both metrics that surface whether judgment is being applied consistently.
Voice drift is the canonical failure mode. Contently names this specifically… "Voice (the one thing a competitor can't copy) is often one of the first things to drift with AI." This is the most accurate observation in their entire piece. AI-generated content at velocity does drift toward generic. A library of 50 pieces produced without voice enforcement reads like 50 different writers with no coherent positioning. EY's research found that more than half of AI projects in departments are happening without proper supervision, and almost four out of five leaders say they can't keep up with the business risks. Contently's diagnosis of the chaos is accurate.
If the piece had stopped at the diagnosis, it would have been one of the best pieces of content marketing analysis published this year. The trouble starts with the prescription.
Why "hire a managing editor" doesn't solve the problem
Three structural reasons the Contently prescription fails for most companies that need judgment most.
Reason 1: The cost math doesn't work below ~$15M ARR
Let's actually run the numbers Contently doesn't run.
A senior managing editor — the role they describe, with judgment and taste authority, capable of setting publishing bars, stewarding brand voice, drawing the authorship line — is a senior hire.
Senior in-house content roles in B2B SaaS run $120K-$220K fully loaded. A reasonable midpoint for someone qualified to do the six functions Contently lists is $130K base, $170K fully loaded once benefits, payroll tax, equipment, and software are included.
For a Series A B2B SaaS company running with $5-15M ARR and a 12-18 month runway, $170K is 1-2% of total revenue and 3-5% of total marketing budget. That's a meaningful allocation against a single role.
It's also the wrong allocation if there are other gaps.
Most early-stage teams running marketing solo or with a 2-3 person team don't have a managing-editor-shaped hole. They have multiple holes simultaneously: SEO, paid acquisition, brand, demand gen, content production. Hiring one specialist to fill the judgment gap leaves all the other gaps open. The $170K spent on a managing editor is $170K not spent on the producer who creates the work the editor would judge, the analyst who measures whether it's working, or the demand gen specialist who turns the content into pipeline.
The 2026 content-ops benchmark is roughly 1 dedicated content-ops FTE per $6M ARR through the $250M mark. A startup at $10M ARR has 3.2 FTE budget for content ops total. Allocating one of those three to a senior managing editor leaves 2.2 FTE for everything else — strategy, production, distribution, measurement. The team that emerges is editor-heavy and execution-thin. Pieces don't get produced fast enough for the editor to actually judge much.
The math works at $25M+ ARR with a 5-person content team.
It doesn't work at $5-15M ARR with a 1-3 person team — which is exactly where most B2B SaaS companies live.
Reason 2: Time-to-impact is 6-9 months
The hiring timeline alone is 60-90 days. Senior content roles in early 2026 are competitive — the supply of qualified hybrid content talent is structurally scarce because the role requires marketing strategy + AI fluency + editorial judgment + brand voice instincts.
Most candidates have 2-3 of the 4 components, not all 4.
After hiring, onboarding takes 90-180 days. The managing editor needs to learn the brand voice deeply enough to enforce it, the ICP language deeply enough to recognize when a draft drifts away from it, the competitive frame deeply enough to know when a piece accidentally references a competitor's positioning. This is the kind of contextual knowledge that doesn't transfer in a one-week onboarding.
Total time from "we decided judgment is the bottleneck" to "we have a senior person actively exercising judgment on every published piece" is 6-9 months in the optimistic case.
For a Series A B2B SaaS company, 6-9 months is the difference between a successful Series B and a down round.
The judgment problem doesn't wait for the hire to ramp. The content keeps getting produced. The drift keeps accumulating. The 50 pieces in the queue when the editor starts are 50 pieces published without judgment, sitting in the library, dragging down the average quality signal until they're refreshed (which the new editor will spend their first 90 days doing instead of producing forward-looking work).
Reason 3: The single-point-of-failure problem
Even if a company solves the cost problem and the time problem, the structural problem with "one person owns judgment" is that judgment becomes hostage to that person.
When the managing editor takes vacation, the publishing bar gets lowered or pieces wait.
When they have a bad week, drift slips through.
When they leave the company (and senior content people leave at the same rates as senior anyone-else), the entire institutional memory of editorial judgment leaves with them. The new managing editor spends 6 months relearning what the old one knew.
Contently's framing acknowledges that "voice is the one thing a competitor can't copy." Tying voice to a single hire makes it the one thing your departing employees can take with them.
That's not a moat… it's a hostage situation.
Real organizational moats are systems, not individuals.
Wikipedia's editorial standards persist across tens of thousands of contributors because the standards are encoded into the system.
The New York Times' voice persists across editor turnover because the voice is documented and operationalized in the workflow.
The companies that win on voice over decades win because they architected voice into a system, not because they hired one good editor and prayed.
For more on the structural failure of personnel-based marketing solutions, see our piece on why hiring a marketing manager costs you $370K and content engineer for startups: buy vs hire.
What "managing editor judgment" actually looks like inside a content engine
Here's the part Contently's piece doesn't address, because the framing forecloses on it: judgment isn't a person. It's a set of decisions. And once you can name the decisions, you can ask whether each one needs a person to make it, or whether it can be encoded into a workflow that runs at scale without the person.
Let me walk through Contently's six functions of the managing editor and show what the system-level equivalent looks like.
Function 1: "Sets the publishing bar"
Contently's version: A senior person defines what "good" looks like for each asset type, channel, and audience, establishing the rubric against which everything else is measured.
The system-level version: A composite Content Scoring System evaluates every draft against an explicit rubric (SEO + GEO at 55/45 weighting at Averi) before it ships. The rubric is documented, enforced mechanically, and applied to every piece without exception. The publishing bar isn't a senior person's discretion. It's a score that's either above the threshold or below it, surfaced as part of the workflow before publish.
The system version is more consistent than the person version. A human editor's standards drift on a Friday afternoon, on a Monday morning, on day 60 of an exhausting quarter. A scoring rubric doesn't drift. It applies the same standard to piece 1 and piece 200. For more on the scoring approach specifically, see our Averi Content Scoring System spec.
Function 2: "Stewards the brand voice"
Contently's version: A senior person catches voice drift early, before it becomes a pattern, by reviewing every piece against an internalized sense of how the publication should sound.
The system-level version: A persistent brand context — what we call Brand Core at Averi — captures the brand voice at setup (4-8 hours of upfront work documenting voice, positioning, ICPs, competitive frame, terminology). The AI references Brand Core on every draft. Voice consistency stops depending on a senior reviewer's vigilance and starts being a default property of the workflow.
The Brand Core approach has a structural advantage over the senior-reviewer approach: it scales without degrading. A senior editor reviewing 50 pieces a month makes voice judgments at piece 1 and piece 50 that diverge slightly because human attention degrades over volume. Brand Core enforces the same voice signal across piece 1 and piece 50,000. Voice consistency at scale is the exact thing that's structurally hard for human reviewers and structurally easy for systems that capture the worldview once.
Function 3: "Draws the authorship line"
Contently's version: A senior person decides where AI drafts are acceptable and where AI never touches the page. These are live judgment calls that evolve alongside the tools.
The system-level version: This one is honestly hard to fully systematize, and worth being explicit about. Drawing the authorship line — deciding which content categories warrant AI assistance vs which require pure human authorship — is the most judgment-heavy of the six functions.
The system-level answer at Averi: the founder/CMO makes the policy decisions about AI authorship boundaries, and the system enforces them mechanically. AI doesn't draft case studies. AI doesn't draft customer quotes. AI doesn't draft thought-leadership pieces under the founder's name without explicit oversight. The boundaries are encoded as rules in the workflow, not as a senior reviewer's running judgment.
This is the function where a senior managing editor adds the most marginal value.
It's also a function that most early-stage companies handle adequately by writing down explicit rules once and enforcing them via the workflow. The senior-editor version is better. The system version is good enough — and good enough at $99/month is structurally available to companies that can't afford the $170K version.
Function 4: "Maintains the editorial calendar"
Contently's version: A senior person owns what gets produced when, ensuring the calendar reflects strategic priorities and adapts to opportunities.
The system-level version: A Strategy Map captures the topic architecture (pillars, focus areas, topics, sub-topics) and a Smart Content Queue surfaces what to produce next based on gap analysis, competitive intelligence, and search demand. The calendar isn't a senior person's running judgment. It's the output of a system that maps content to topics rather than topics to content.
This is the function where the system version has the clearest structural advantage.
A human editor manages a calendar by remembering what's been published, what's coming up, and what gaps remain. A Strategy Map keeps that information visible and updated continuously. The cognitive load that distracts a human editor from higher-value judgment work gets handled by the system, freeing human attention for the high-impact decisions.
Function 5 + 6: Stakeholder coordination + measurement
Contently's framing: A senior person manages the relationships between editorial, marketing, sales, product, and external contributors. They also track what's working, surface what's not, and hold the program accountable to outcomes.
The system-level version: For stakeholder coordination, a system can't fully replace human relationship management. The honest assessment: a senior managing editor adds real value here for companies above $25M ARR with multiple stakeholders to coordinate. For a Series A B2B SaaS founder running marketing solo, this is one or two conversations with the CEO and the head of sales per month, not justification for a $170K hire.
For measurement and accountability, the system version is materially better than the senior-reviewer version. A unified analytics layer that tracks content velocity, cost-per-piece, AI citation frequency, organic traffic, and conversion-to-trial in one dashboard.
The metrics are continuous, not periodic. The accountability is mechanical, not relationship-based. Human reviewers report on what they remember; dashboards report on what's actually happening. The discipline of continuous measurement is one of the cleanest wins of the system-level approach over the personnel-level approach. For more on the measurement layer specifically, see our AI Content ROI Crisis piece and the State of AI Content Marketing 2026 Benchmarks Report.
The cost comparison, line by line
Let me put numbers on the comparison Contently's piece doesn't run.
Cost Component | Senior Managing Editor | Content Engine (Averi) |
|---|---|---|
Salary / subscription | $130,000/year | $1,188/year ($99/mo) |
Benefits + payroll tax | $32,500/year | $0 |
Equipment + software | $7,500/year | Included |
Hiring cost (recruiter + time) | $15,000-25,000 one-time | $0 |
Onboarding ramp (3-6 months at reduced productivity) | $30,000-60,000 | 30 minutes |
Total Year 1 cost | ~$215,000-260,000 | ~$1,188 |
Total Year 2+ recurring | ~$170,000/year | ~$1,188/year |
The ratio in Year 1 is 180x in favor of the engine.
The ratio in Year 2+ is 143x.
Even if the managing editor produces 10x the judgment density of the engine (which they will not in operational practice), the math still favors the engine 14-18x.
For Series A and Series B B2B SaaS companies, this isn't a marginal preference. It's a structural recommendation.
The company that allocates $170K to a managing editor instead of $1,188 to a content engine is making a $169,000 mistake against runway that, in 2026, doesn't have $169,000 of slack to absorb a category mistake.
What Contently is actually selling
Worth being explicit about the implicit business model under their argument, because it shapes the recommendation.
Contently's business model is providing managing editors as a service to enterprise content programs.
When their piece argues "the #1 role your content team needs in 2026 is a managing editor," they're not making a neutral architectural recommendation. They're making the case for their own product category.
Every B2B SaaS company makes the case for its own category — Averi included — but the framing shapes which question gets asked.
Contently's framing: "what role do you need to hire?"
Our framing: "what system do you need to operationalize?" Both questions are legitimate. They lead to different recommendations because the underlying business models are different.
For startups evaluating both options honestly: Contently's managing-editor-as-service is a real value proposition for enterprise content programs that need senior judgment but don't want to hire and manage the role internally.
A content engine like Averi answers a different question: how does a Series A founder running marketing solo encode the judgment Contently describes into a workflow that runs at $99/month without a senior hire? The answer is structural, not personnel-based.
For more on the founder-as-marketer dynamic specifically, see our Founder's Guide to Content Marketing in 5 Hours a Week.
See how much you could save this year running Averi for your Content Marketing
When Contently's prescription actually works
Worth being honest about where I think they're right and the system answer falls short.
Companies above $25M ARR with established content programs: The math changes at this scale. A senior managing editor adds enough marginal judgment density to justify the hire when there are 5+ contributors producing 50+ pieces per month and the coordination work is real. Contently's prescription works here, and the engine is more of a complement than a substitute.
Categories with high content compliance overhead: Healthcare, financial services, legal, regulated industries. These categories require human judgment on every piece for compliance reasons that systems can't fully replace.
Brand voice that's deeply unique and culturally embedded: Established media properties, luxury brands, distinctive thought-leadership platforms where the voice lives in the heads of a small number of senior people. For these brands, capturing voice in a Brand Core context document is structurally insufficient.
For everyone else — and "everyone else" is most B2B SaaS companies under $25M ARR — the system answer dominates the personnel answer on cost, time-to-impact, scalability, and resilience to single-point-of-failure risk.
Contently's prescription is correct for the upper-quartile of companies they actually serve. It's not correct for the lower three-quartiles of companies that need judgment most and can afford the personnel answer least.
What to do this week
If you're a founder reading both Contently's piece and this one and trying to decide what to actually do:
Steal Contently's diagnosis. They're right that judgment is the bottleneck. Don't dismiss the piece because the prescription is wrong for your stage. The diagnosis is one of the most accurate framings of the AI-native content marketing problem published this year.
Audit your current judgment infrastructure. Who currently makes the decisions Contently lists? If the answer is "the founder, in their head, when they remember to," you have a real problem worth solving — but it's a system problem, not a hiring problem.
Document the editorial worldview before doing anything else. The 4-8 hour upfront investment of writing down brand voice, positioning, ICP language, competitive frame, terminology — what we call Brand Core — is the single highest-impact decision you can make. Without it, neither a managing editor nor a content engine can enforce judgment, because there's no documented worldview to enforce against.
Set explicit rules for AI authorship boundaries. Where AI drafts. Where it doesn't. Where it edits. Where it never touches the page. Write the rules down. This is the function that most needs explicit documentation regardless of whether you go the personnel route or the system route.
Implement composite scoring before publish. SEO + GEO at 55/45 (or whatever weighting matches your category). Every piece scored against the rubric. Below the threshold, the piece gets rebuilt. Above it, ships. This single workflow change replaces 60% of what a senior managing editor does in pure quality enforcement.
Build the analytics dashboard. Velocity, cost-per-piece, AI citation frequency, organic traffic, conversion-to-trial. Continuous, not periodic. The dashboard replaces the senior reviewer's quarterly judgment with daily mechanical accountability.
Re-evaluate the hiring question at $25M ARR. If you cross the threshold where a senior managing editor's marginal judgment density justifies $170K, hire. The system + senior editor combination beats either alone. The wrong move is hiring before you cross the threshold; the right move is hiring when you do.
That's the framework.
Contently is right that judgment is the bottleneck. They're wrong that hiring one person is the answer for most companies.
The answer for most companies is encoding judgment into a system that runs at $99/month without requiring a senior hire — and reserving the senior hire for the stage where the marginal density justifies the marginal cost.
If you want this baked into your stack — Brand Core that captures the editorial worldview at setup, Strategy Map that enforces topic structure, Content Scoring that evaluates pieces against the publishing bar before they ship, native publishing that eliminates the production-to-publication friction creating voice drift, and unified analytics that mechanizes accountability — start a free 14-day Averi trial.
30 minutes to set up. The first piece you produce inside Averi will already be operating against the same six functions Contently describes, at $99/month instead of $170K/year.
FAQs
Do startups need a managing editor in 2026?
Most don't, at least not as a full-time hire. Contently is correct that judgment is the new bottleneck in AI-native content marketing — production has been compressed to near-zero, and the decisions about what to publish, kill, and refresh now dominate the workflow. But the prescription of hiring one person to own that judgment costs $170K fully loaded and takes 6-9 months to produce impact. For Series A B2B SaaS companies under $25M ARR, the math doesn't work. The system-level answer (a content engine that encodes editorial judgment into the workflow) costs $99-199/month and produces equivalent or better consistency at scale.
What's the difference between a managing editor and a content manager?
Per Contently's framing, a content manager is measured by throughput (pieces shipped, deadlines hit, calendar filled), while a managing editor is measured by judgment (what made the cut, what didn't, whether the publication still sounds like itself a year in). The roles overlap operationally but diverge in authority. A content manager keeps the calendar full. A managing editor decides what's worth being on the calendar. In 2026, with AI eliminating the calendar-filling problem, the managing editor function dominates in importance — but the framing assumes that function requires a person, when much of it can be encoded into a system.
How much does it cost to hire a managing editor in 2026?
Senior in-house content roles in B2B SaaS run $120K-$220K fully loaded (daydream's 2026 content pricing data). A managing editor at the level Contently describes — judgment authority, voice stewardship, AI authorship policy — sits at the higher end. Realistic cost: $130K base, $170K fully loaded with benefits, payroll tax, equipment, and software. Add hiring costs ($15K-25K one-time) and onboarding ramp (3-6 months at reduced productivity, costing another $30K-60K). Total Year 1 cost: $215K-260K. Total Year 2+ recurring: $170K.
What does a content engine replace from the managing editor role?
Five of Contently's six listed functions can be encoded into a content engine: setting the publishing bar (composite scoring rubric), stewarding brand voice (persistent Brand Core context), maintaining the editorial calendar (Strategy Map + Smart Content Queue), measurement and accountability (unified analytics dashboard), and quality enforcement (scoring before publish). The sixth function — drawing the authorship line and stakeholder coordination — is a hybrid: explicit rules can be encoded, but the policy decisions still require human judgment from the founder or CMO. For early-stage teams, the system handles enough of the judgment density to operate without a dedicated senior hire.
When should I actually hire a managing editor?
When you cross approximately $25M ARR with an established content program producing 50+ pieces per month across 5+ contributors. At that scale, the marginal judgment density a senior managing editor adds justifies the $170K cost — particularly for stakeholder coordination across product, sales, customer success, legal, and brand teams. Below that scale, the personnel cost outweighs the marginal benefit, and the system-level approach dominates. The right pattern at scale is system + senior editor (each handling what they're best at), not system or senior editor.
Is Contently's argument biased toward their own business model?
Yes, and worth being explicit about it. Contently's business model includes providing managing editors as a service to enterprise content programs. Their April 2026 piece arguing that "the #1 role your content team needs is a managing editor" makes the case for their own product category. The argument isn't wrong because of this — it's a real product category answering a real problem for the right type of customer — but the framing leads readers to the prescription that fits Contently's offering. Other framings (encode judgment into a system at $99/month) lead to different prescriptions that don't fit Contently's offering. Both framings are answering legitimate questions; the answers depend on which question gets asked.
How does Averi handle the six functions Contently describes?
Brand Core captures the brand voice and editorial worldview at setup (4-8 hours of upfront work) and references it on every draft, replacing the voice-stewardship function. The Content Scoring System evaluates pieces on a composite SEO + GEO scale before publish, replacing the publishing-bar function. Strategy Map structures content by topic clusters and surfaces gaps continuously, replacing the editorial-calendar function. Native CMS publishing eliminates production-to-publication friction. The unified analytics dashboard tracks velocity, cost-per-piece, citations, traffic, and conversion in one view, replacing the measurement-and-accountability function. The combination handles five of Contently's six functions at $99/month — with the sixth (authorship policy + stakeholder coordination) handled by explicit rules + the founder's direct judgment, not by a $170K hire.
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Encode the judgment Contently describes — at $99/month, not $170K/year. Brand Core captures the editorial worldview. Strategy Map enforces topic structure. Content Scoring evaluates against the publishing bar. Native publishing eliminates voice-drift friction. Unified analytics mechanizes accountability. One workflow. The same six functions. Different price. Start your free trial →
