The Chief Technology Officer who negotiates the contract
$772,840top of the range in Oregon · middle $213,990 / yr
AI is transforming this role
Chief Technology Officers in the United States earn a median of $213,990 a year. Pay starts near $75,700. Pay reaches $772,840 at the top of the range in Oregon, the best-paying state for this work among those with at least 500 people in the job.
Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Chief Executives, SOC 11-1011). Last checked 9 September 2026.
Entry level
$75,700
Top of the range · Oregon
$772,840
Education
Bachelor's or Master's in CS/MBA
Wages — U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Chief Executives). Top of the range is the highest state-level figure among states with at least 500 people in the job. AI-impact rating is PayCrunch's editorial assessment. Updated September 2026.
🆕 New & Trending AI Tools for Chief Technology OfficerReviewed September 2026
We track new AI-tool launches every week and refresh this list — here’s what’s gaining traction for Chief Technology Officer work right now.
Claude CodeNEWFree / usage-based
Terminal coding agent that reads your repo, runs tests, and ships multi-file changes.
How a Chief Technology Officer uses it: describe a feature and let it implement and test it across the codebase
OpenAI CodexNEWIncl. w/ ChatGPT plans
Agent that runs longer, deterministic multi-step coding jobs on its own.
How a Chief Technology Officer uses it: delegate a well-defined build or migration and review the finished result
WindsurfNEWFree / $15 mo
Agentic IDE that keeps context across a whole project.
How a Chief Technology Officer uses it: make large, coordinated changes without losing track of the codebase
AWS KiroNEWPreview / see site
Spec-driven coding agent that turns written specs into working code.
How a Chief Technology Officer uses it: write the spec first and let it build to that spec
NotebookLMNEWFree / $7.99 mo
Google tool that answers questions grounded only in the documents you give it — with citations.
How a Chief Technology Officer uses it: load your own manuals, policies, or PDFs and ask questions that stay accurate to the source
CursorFree / $20 mo
AI-native code editor that edits across an entire project.
How a Chief Technology Officer uses it: describe a change in plain English and let it rewrite and refactor whole files
GitHub Copilot (Agent Mode)$10–19 mo
AI pair-programmer built into VS Code and GitHub that now completes multi-step tasks.
How a Chief Technology Officer uses it: hand off a task and have it plan, edit multiple files, and open a pull request
ChatGPTFree / $20 mo
The most-used AI assistant — writing, analysis, research, and images from a plain-language chat.
How a Chief Technology Officer uses it: draft emails and documents, summarize long files, and get instant answers to on-the-job questions
ClaudeFree / $20 mo
AI assistant known for careful writing, long-document analysis, and coding.
How a Chief Technology Officer uses it: analyze big reports or spreadsheets and turn messy notes into clean, finished writing
The engineering organization will build what you aim it at. As chief technology officer, your product is that aim and the organization that can follow it. You hold technology strategy and the engineering org at the same time. A clever architecture with no team to carry it is a memo. A busy engineering team with no strategy is a queue. You are hired so those two failures do not happen together.
Where the engineering organization is pointed
Strategy, in this seat, is a set of choices the company will live with for years. Which platforms you will own. Which capabilities you will buy. Which older systems you will keep on purpose because replacing them would distract from the product customers are waiting for. You make those choices with the chief executive and the product leader, then you turn them into a roadmap the engineering leaders can staff. If the roadmap changes every time a customer raises their voice, you do not have a strategy. You have a suggestion box.
The engineering org is the other half of the same day. You design how teams are shaped, who the senior technical leaders are, and how quality is defended when a date gets loud. You notice when hiring has filled seats without raising the bar. You notice when a team is heroic every week because the system underneath them is fragile. You spend money and attention on the few technical bets that unlock the business, and you stop the side projects that flatter an executive and starve the main one.
You still need enough proximity to the work to smell a problem. Sit in a design review. Read a postmortem. Ask why a change takes as long as it does. Then leave the implementation to the people you hired for it. A chief technology officer who is the best coder in every room will become the bottleneck, and the organization will stay the size of one person's attention. Your leverage is the leaders who can make a good call when you are with the board.
The calls that should not be delegated
Some decisions belong on your desk even in a large company. A build-versus-buy choice that will be painful to reverse. A security tradeoff you need to make with the security leader, where speed and exposure have to be named out loud. A commitment to a customer that engineering cannot keep. A hiring plan that assumes a talent market you do not actually see. An architecture that makes the next two years of product possible, or quietly makes them impossible. You can take advice on all of these. You cannot hide behind a committee when they go wrong.
The people around that desk are the chief executive, the product leader, the finance lead, the security chief, and your engineering directors or vice presidents. In some companies you also face the board's technology or risk committee. Outside, you face major vendors, key customers who want a technical commitment, and candidates for the senior roles that set the culture. Your job in those conversations is clarity. What are we building. What are we refusing. What will it cost in people and time. What risk are we accepting on purpose.
Industry changes the material and not the ownership. A software company's chief technology officer lives in product delivery, reliability, and the pace of change. A manufacturer or a logistics company's version may live in operational systems, plants, and the line between information technology and the technology inside the product. A regulated company's version spends more time with examiners and control owners. Learn which of those you are walking into. Arriving with a generic digital speech is how you lose the room that already knows its own constraints.
Strategy and the org, held together
If the offer lets you write a technology strategy and gives the engineering organization to someone else, or the reverse, you are being offered half the job. Name that half in the conversation. A clear vice president role can be an excellent step. A chief title over a half-mandate will confuse everyone, including you.
Getting hired with a record, not a licence
There is no licence for a chief technology officer. No government board grants the title, and a vendor certificate will not settle a board search. Employers use a record of technology judgment and of having led engineers. They want to hear a strategy you chose, a system you were willing to live with or replace, and an organization that shipped after you shaped it. A degree in computer science, engineering, or another technical field is common. Some chiefs come through a long engineering path. Some come through founding a product. Schooling explains the start. The record explains the hire.
Build that record before the title. As a senior engineer, leave behind designs other people can extend. As a manager and director, leave behind teams that tell the truth about dates and quality. As a vice president, leave behind a strategy the business could repeat without you in the room. Keep a few stories that include a no: a rewrite you refused, a vendor you declined, a date you reset. Boards are wary of candidates who have only said yes. The no is evidence that you can protect the company from its own impatience.
References should include a chief executive or general manager, a product peer, and an engineering leader who worked for you. Ask them to talk about a decision, not about your intellect. A reference who says you were the smartest person in the building and cannot name a business result is describing a principal engineer. That is an honorable role. It is a different search.
The search for a technology chief
Companies open this seat when technology has become the constraint on the strategy, when a founder can no longer be the only architect, when a security or reliability failure scared the board, or when growth has turned a scrappy team into an organization that needs a real shape. Identify which one you are hearing. A founder transition needs respect for what already works. A reliability scare needs someone who has sat with an outage and changed the system afterward. A scale problem needs someone who has built management underneath them without losing the technical thread.
You will talk with the chief executive, often a search firm, the product and finance peers, and sometimes directors. Expect a working discussion of a system choice, a hiring choice, and a time you were wrong. Be plain about what you would learn in the first months before you proposed a rewrite. Candidates who arrive ready to replace everything are announcing that they did not listen. Candidates who arrive with no point of view are announcing that the chief executive will still have to be the chief technology officer.
Ask who owns product, security, data, and infrastructure. Ask whether engineering managers report to you. Ask how the board consumes technology risk. Ask what "done" means for the hire in the eyes of the chief executive. A seat with strategy influence and a full engineering org is the job described here. A seat that is mostly vendor management, or mostly internal information technology with no product stake, may still be valuable, and it should be described in those words so the pay and the expectations match.
Bring a one-page view of how you lead engineers: how decisions get made, how you handle a missed commitment, and how junior people grow. Culture language without mechanics will not survive a conversation with your future directors. They have heard slogans. They want the Tuesday afternoon version.
After the engineering org has been yours once
Vendor choices deserve the same honesty as hiring choices. A platform you adopt will still be here when the person who loved the demo has moved on. Ask who will operate it, what you will stop paying for once it arrives, and how you leave if it fails. Write that down before the contract. A chief technology officer who collects tools without retiring any will hand the next leader a pile of subscriptions and no strategy. Subtraction is part of the aim you set for the engineering organization.
The first year is a map and a few commitments. You learn the real architecture, the real bottlenecks, and the real leaders. You publish a short strategy the executive team can repeat. You make one or two structural changes in the organization and then let them settle. You take the board a risk picture that is specific enough to be useful. You resist a platform rewrite that would consume the company unless the current platform truly cannot support the strategy.
Later tours get larger. Some technology chiefs move to a bigger engineering org, where the same judgments carry more people and more consequence. Some add product or become president of a technology business. Some move into the top executive role at companies where the product is the technology. Some advise or join boards, especially after they have shepherded a company through a hard technical transition. A few return to building, as a founder or as a senior individual contributor, because they missed the work itself. Any of those can be a success. Pick from the days you want, using the evidence of the tour you just finished.
Leave the organization better at deciding without you. That means leaders who can say no, a strategy that is written down, and a habit of postmortems that change the system. When the next company asks what happened after you left, the answer should be that the engineering org kept shipping. That answer is worth more than a stack of initiatives that depended on your presence in every review.
Reading an offer on the chief executive market
The dollars beside a chief technology officer offer come from Chief Executives in Occupational Employment and Wage Statistics, May 2025 (SOC 11-1011), a broader executive market than a CTO-only survey. Entry in that market is $75,700. The median is $213,990. Oregon's range is published with a high end of $772,840, included because Oregon's count was large enough for the Bureau to release that top figure. From entry to the median is $138,290. From the median to the Oregon high end is $558,850.
Oregon's median and Oregon's high end are different facts. The state median in Oregon is $341,630, which is typical pay in Oregon for this executive market and sits $127,640 above the national median. The $772,840 figure is the high end of the published range in Oregon. Washington's median is $339,810, Illinois's is $331,920, North Carolina's is $314,290, and Virginia's is $310,740. Puerto Rico's median, $97,510, is the lowest charted. If the role sits in one of those places, the state median is the local typical pay to set beside the offer. For a comparison with executive pay across the country, stay with the national median. Keep Oregon's high end for the far edge of the published range, and keep Oregon's median for what executives there typically earn.
Because these dollars are the broader executive market, read them with the scope of your offer in hand. A package near $75,700 can match the entry of that market, including smaller organizations, and it is a weak match for someone already running an engineering organization and setting technology strategy. Put a real chief mandate next to the median of $213,990, and next to the state median if you will work in Oregon, Washington, Illinois, North Carolina, or Virginia. The gap from the median to the Oregon high end is very large. Treat $772,840 as the far end of the published range for this executive market, relevant when the company, the engineering org, and the board exposure are all substantial, and a poor demand if the role is a thin title over a small team.
Decide the anchor before the meeting. The median for a genuine technology-chief mandate. A state median when location is the real variable between two offers. The entry figure if the company is small or the authority is narrow. Then describe the strategy you will own and the engineering org that will report to you. Executive pay follows that combination more reliably than it follows the initials in the title.
The top of Chief Technology Officer pay — and how to get there with AI
$772,840what Chief Technology Officer pay reaches in Oregon
Highest state-level top-of-range annual wage for Chief Executives, among states with at least 500 people in the job. U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025.
$75,700entry$213,990middle$772,840top end
A chief technology officer mid-range approves what somebody else selected; at the top of the range they wrote the criteria, ran the comparison, negotiated the agreement, and carry the cost of it in their own budget.
Negotiating and approving contracts with suppliers and outside agencies, preparing budgets for approval, and directing an organisation's financial activities to fund operations are already listed as this job's work, and they are the parts most technology leaders hand off. Technical judgment is not what is scarce at the top of this range; a defensible purchase is. That means criteria written before the demonstration, candidates tested on your own data, and renewal terms you read rather than inherited. Assistants can compress a stack of proposals into something comparable in an afternoon, which removes the usual excuse for approving on reputation.
Your playbook, by where you are now
Just startingPrice what you already run
Build one register of every system the company pays for, its annual cost, its sponsor, and the date its agreement renews.
Read three current supplier agreements end to end, including the renewal and termination clauses nobody looked at when they were signed.
Put departmental responsibilities on a single page so it is obvious which team owns which system and which budget line.
Have Microsoft Copilot pull renewal dates and notice periods out of your contract folder, then confirm each one against the signed document.
What proves it: A cost and contract register the finance team opens at budget time.
Realistic span: the first year in the seat
A few years inRun the comparison where people can watch
Write the evaluation criteria before you see a demonstration, and score each supplier against them in front of the sponsoring department.
Test candidates on your own data rather than the vendor's, using an export into Microsoft Access or a workbook in Microsoft Excel.
Track delivery in Atlassian JIRA so promises made during selection can be checked once implementation starts.
Submit the budget request with the case attached: what this replaces, what it costs to run, and what happens if nothing changes.
Ask Gemini to lay two supplier proposals side by side, then read both proposals yourself before you believe the comparison.
What proves it: A signed agreement traceable back to a written comparison you circulated.
Realistic span: years two through six
ExperiencedSit on the money side of the table
Negotiate renewals from measured usage rather than from the supplier's list, and be willing to walk away from a system you personally chose.
Explain the policies, rules, and regulations behind a purchase to the board and to outside agencies in language they can act on.
Set a standing review that retires systems nobody uses, and report the saving where budgets are decided.
Report spend against plan in a form shareholders and outside partners can read without a technologist translating it.
What proves it: A renewal cycle where you cut cost or scope and no part of the business felt a loss.
Realistic span: seven years onward
The next 90 days
Before the next budget is prepared, build the register. Every supplier, every annual cost, the sponsor who asked for it, the renewal date, and the notice period. Most technology functions do not have this, which is why they discover a renewal a week before it auto-extends. Then pick the three largest lines and ask a plain question of each: if this were being chosen today, would we choose it, and what would we test to find out. Write the answer down and take it to whoever prepares the budget for approval. That conversation is where a chief technology officer stops being the person who signs off on purchases and becomes the person who makes them. Oregon pays this occupation better than any other state.
Wage figures: BLS OEWS, May 2025. The playbook is PayCrunch editorial guidance, not a guarantee of pay or placement.
Every figure is the national median from the U.S. Bureau of Labor Statistics (OEWS) shown on that role’s own page.
Never used AI before? Start here (2 minutes).
Make yourself AI-native first, this week. Turn on an AI coding assistant (GitHub Copilot, Cursor, or Claude Code) for yourself and a small pilot team, and spend an afternoon prototyping against the Anthropic Claude or OpenAI API. You cannot set a credible AI strategy for engineers you lead if you have not shipped with the tools yourself.
For strategy, architecture, and board communication, use Claude or ChatGPT (enterprise plans, no proprietary data in consumer tools) to draft and pressure-test your thinking. You bring the business judgment and own every decision; AI accelerates the building, the analysis, and the writing.
The one rule, forever: Never let AI ship unreviewed. AI-generated code, architecture, and analysis are drafts a qualified human reviews before they reach production or the board. Never paste proprietary source code, customer data, secrets, or confidential financials into a consumer AI tool — use enterprise agreements with data-retention controls, and own the security, IP, and compliance implications of every AI system you deploy.
The plays — exact steps, exact prompts
Do these in order. Each one is copy-paste ready. You do not need to know anything about AI going in.
1
Ship real AI features into the product
Why this pays: The clearest way a modern CTO adds enterprise value — and grows their own comp and equity — is putting AI capabilities into the product that customers pay for. A shipped, revenue-relevant AI feature is the single most visible proof that you are leading the transformation, not trailing it.
Anthropic Claude APIOpenAI APILangChain / LlamaIndex + a vector database (Pinecone)
1
Pick one high-value, well-scoped use case (support automation, a copilot in your app, document intelligence) and prototype it against the Claude or OpenAI API with retrieval (LangChain/LlamaIndex + Pinecone) before committing a roadmap slot.
2
Structure the build/scope decision with an AI-assisted plan you own.
Copy-paste this prompt
Act as a pragmatic AI product architect. We are a [B2B SaaS] company and want to add [an in-app AI assistant that answers questions from a customer's own data]. Draft a build plan: the reference architecture (model, retrieval, guardrails, evals), the top 5 technical risks (hallucination, latency, cost, data privacy, prompt injection) and how to mitigate each, a rough cost model, and a 6-week milestone plan to a production pilot. Flag every decision that needs a human owner.
Use it as a first-draft architecture to pressure-test with your team — not a spec to ship blindly.
What you'll haveA shipped, revenue-relevant AI feature and a repeatable pattern for the next one — the clearest signal of a CTO operating at the top of the band.
2
Multiply engineering velocity with AI coding tools
Why this pays: A CTO is judged on what the org ships per dollar of engineering. Rolling out AI coding assistants well — with the guardrails to keep quality high — lets the team ship materially more with the same headcount, which is exactly the efficiency story that earns budget, trust, and a bigger mandate.
GitHub CopilotCursorClaude Code
1
Roll out an AI coding assistant (GitHub Copilot, Cursor, or Claude Code) to the team with clear norms: AI accelerates writing, but every change goes through the same review, tests, and security gates. No unreviewed AI code reaches production.
2
Measure the impact so you can defend the investment to the board.
Copy-paste this prompt
Act as an engineering-effectiveness advisor. We rolled out [an AI coding assistant] to a [40]-engineer org. List the metrics I should track to honestly measure impact (cycle time, PR throughput, change-failure rate, review load, developer satisfaction), how to baseline them, the traps that make AI-productivity claims misleading, and how to present the results to a board in one slide.
Track change-failure rate alongside throughput — velocity that raises defects is not a win.
What you'll haveA measurably faster engineering org at the same headcount — the efficiency narrative that wins budget, trust, and a larger CTO mandate.
3
Sharpen technical strategy and architecture decisions
Why this pays: The CTO's highest-leverage output is good technical decisions — build vs buy, architecture, platform bets. Using AI to structure the analysis and stress-test the options lets you make those calls faster and defend them better, which is what separates a strategic CTO from a glorified lead engineer.
ClaudeChatGPTMicrosoft Copilot
1
Use AI to structure a real decision into a crisp, defensible technical strategy doc.
Copy-paste this prompt
Act as a principal architect and devil's advocate. We are deciding whether to [build our own data pipeline vs adopt a managed platform] at [company stage/scale]. Lay out the decision as an RFC: the options, the evaluation criteria (cost, time-to-value, scalability, team fit, lock-in), the strongest case for and against each, the key assumptions to validate, and a recommendation with the top risks. Push back on my likely biases.
Use it to structure and challenge your thinking; the decision and its consequences are yours.
2
Turn the output into a short RFC your team can review and challenge. Consistent, well-reasoned decision docs are how a CTO scales judgment across the org.
What you'll haveFaster, better-reasoned, well-documented technical decisions — the strategic output that defines a CTO rather than a lead engineer.
4
Command the board and investor narrative
Why this pays: At the top of the band, a CTO is an executive whose technical story the board and investors trust with capital. Using AI to sharpen roadmaps, board decks, and technical due-diligence responses builds the executive presence that earns a seat at the strategy table — and the comp that comes with it.
ClaudeChatGPTGamma
1
Draft and tighten your board narrative with AI, then make it your own.
Copy-paste this prompt
Act as a CTO's chief of staff. Help me write the technology section of a board update. Here are the raw points: [paste bullet points on roadmap progress, AI initiatives, hiring, incidents, and key risks]. Turn it into a crisp 1-page narrative for a non-technical board: what we shipped, what it means for the business, what I need from the board, and the top risks I'm managing. Confident, honest, jargon-free.
Never paste confidential financials or security-incident specifics into a consumer tool; keep it high-level or use an enterprise plan.
2
Use the same approach to prep for technical due diligence in a fundraise or acquisition. A CTO who can tell the technical story to investors is operating at the top of the role.
What you'll haveA clear, confident board and investor narrative — the executive presence that earns a strategy seat and top-of-band comp.
5
Own AI governance, security, and cost
Why this pays: As AI spreads through the company, someone has to own the risk and the bill — data governance, security, model cost, and compliance. The CTO who builds that framework becomes indispensable to the board and unlocks AI adoption safely, rather than being the person who gets blamed for a breach or a runaway cloud bill.
ClaudeDatadogVanta
1
Draft the AI-usage and governance policy that lets the company adopt AI safely.
Copy-paste this prompt
Act as a CISO-minded advisor. Draft an internal AI-usage and governance policy for a [B2B SaaS] company: which tools and data classes are approved for which uses, the rules on customer data and secrets, human-review requirements for AI-generated code and content, vendor/data-retention requirements, and an approval path for new AI tools. Practical and enforceable, not legalese.
Have security, legal, and compliance review before you publish; this is a starting framework, not final policy.
2
Instrument AI and cloud spend (e.g., Datadog) and track your security posture (e.g., Vanta for SOC 2) so AI adoption scales without surprises in the bill or the audit.
What you'll haveA governance, security, and cost framework that makes company-wide AI adoption safe — the indispensable ownership that anchors a CTO's mandate.
6
Scale the team and negotiate your mandate
Why this pays: A CTO's comp tracks the scope they own and the equity they hold. Building a strong org and stepping into a bigger mandate — or moving to a VC-backed scale-up as an AI-native technical leader — is the most direct path from the middle to the top of the band and beyond.
ClaudeChatGPTLinkedIn
1
Use AI to design the org and hiring plan that lets you scale beyond hands-on-keyboard.
Copy-paste this prompt
Act as a technology-org designer. We are scaling engineering from [15 to 40] over [12 months] while building AI into the product. Propose an org structure (teams, leads, reporting lines), the first 5 roles to hire in priority order with the reason, and the interview signals that matter most for an AI-native engineering culture. Flag the risks of scaling this fast.
Adapt to your real constraints and culture; org design is judgment, not a template.
2
Benchmark and negotiate your own scope and equity deliberately. Comp at the top of the band comes from a bigger mandate and ownership, not a bigger title alone — treat your next role or renewal as the lever it is.
What you'll haveA scaled org and a bigger, equity-backed mandate — the scope and ownership that carry a CTO's total comp toward and past $772,840.
Your 12-month sequence to the top of the range
How the plays above stack into a path from median pay toward the $772,840 tier.
Month 1
Make yourself AI-native: adopt an AI coding assistant and prototype against the Claude/OpenAI API yourself.
Months 2-3
Roll out AI coding tools to the team with review guardrails, and baseline the velocity and quality metrics.
Months 3-6
Ship one real AI product feature from prototype to production pilot; publish your architecture pattern.
Months 6-9
Stand up AI governance, security, and cost controls; sharpen your board narrative with AI-built materials.
Months 9-12
Use AI to structure your biggest build-vs-buy and architecture decisions as defensible RFCs.
Year 2
Scale the org and negotiate a bigger, equity-backed mandate — or an AI-native CTO role at a scale-up — toward $772,840.
Next steps for a Chief Technology Officer
Some links below are affiliate or partner links. PayCrunch may earn a commission if you enroll or subscribe through them, at no extra cost to you. Wage figures on this page still come from the Bureau of Labor Statistics, not from these programs.
Chief Technology Officer work is specific enough that a stamped 'check out these courses' block would be noise. BLS files this work as Chief Executives (SOC 11-1011). O*NET Job Zone 5 is typical: graduate or professional school, so the honest next credential is a graduate-level or professional certificate — not a random catalog dump.
The occupation's listed knowledge area is Personnel and Human Resources, which is what the course searches below actually query.
Chief Technology Officers in this dataset list Atlassian JIRA among the tools in use, so a program that names that stack is a better fit than a survey course.
Coursera search for personnel and human resources — a graduate-level or professional certificate that lines up with management, not a generic professional-development aisle.
FlexJobs screens remote, hybrid, freelance, and flexible listings so you are not wading through unverified ads. This is a job-board search for Chief Technology Officer work, not a claim that they list a counted SOC 11-1011 inventory.
A a Chief Technology Officer resume you can submit beats a blank page. Resume Now is a resume builder — we are not claiming an occupation-specific template library for SOC 11-1011.
A Chief Technology Officer resume that names the actual tasks on this page beats a blank template when you apply.
What Chief Technology Officers earn by state
These are the Bureau of Labor Statistics’ own figures for Chief Executives, state by state — not a cost-of-living adjustment applied to the national number. Only states employing at least 500 people in the occupation are shown, because a state median drawn from a handful of workers is noise rather than a signal.
Oregon
$341,630
highest of them · +60% vs the national median
Puerto Rico
$97,510
lowest of the 36 states and territories that qualify · -54% vs the national median
The same job pays $244,120 more a year at the median in Oregon than in Puerto Rico — 250% higher. That gap is what the Bureau measured, before any question of what it costs to live in either place. Oregon also carries the top of this job’s range, $772,840 — the figure quoted at the head of this page.
Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025, SOC 11-3021. 36 states and territories clear the 500-employee reporting floor for this occupation; those below it are left out rather than shown with a wide error band.
Free data. Use any of it.
PayCrunch publishes verified, BLS-sourced salary + AI-playbook data on 1,000+ professions — free, no signup.
No — but it is transforming the job. AI cannot own technology strategy, make the build-vs-buy call, carry accountability to the board, or lead people. What it does is change what a CTO is measured on: shipping AI into the product, multiplying engineering output, and governing AI risk. The CTOs who lead that shift pull far ahead of those who treat AI as someone else's project.
Should a CTO still be hands-on with AI tools?
Yes, more than ever. You cannot set a credible AI strategy for tools you have never used. Spend real time with an AI coding assistant and the model APIs — enough to understand the capabilities, the failure modes, and the cost. That hands-on grounding is what makes your strategic decisions and your board narrative credible.
Is it safe to use AI coding tools and ChatGPT in engineering?
With guardrails, yes. Use enterprise agreements with data-retention controls, never paste proprietary source, secrets, or customer data into consumer tools, and require that every AI-generated change goes through the same review, tests, and security gates as human code. The risk is not the tool — it is shipping AI output unreviewed. Owning that discipline is part of the CTO job.
How does AI actually raise a CTO's pay?
By expanding the mandate. Comp at this level tracks the scope you own and the equity you hold. A CTO who ships revenue-relevant AI features, demonstrably speeds up the org, and governs AI risk becomes the executive the board bets on — which is what earns a bigger mandate, more equity, and top-of-band offers, especially at VC-backed companies where AI-native technical leadership is in high demand.
Where should a CTO start with AI?
Get hands-on this week: turn on an AI coding assistant and prototype one idea against the Claude or OpenAI API yourself. Then roll the coding tools out to a pilot team with review guardrails and measure the impact honestly. Ship one real AI feature before you try to transform everything. Credibility comes from having built with the tools, not from talking about them.
Methodology & sources
Salary (median, 10th, top of the range) — U.S. Bureau of Labor Statistics, OEWS.
By state — the Bureau of Labor Statistics’ own state medians, limited to states employing at least 500 people in the occupation. No cost-of-living arithmetic is applied to a wage anywhere on this page.
The plays — PayCrunch's own step-by-step guidance using publicly available AI tools. Tool names/URLs are real and current as of August 2026; prompts written to work as-is. Verify any professional output before relying on it.