How to Find Series A Startups by Industry and Role

Short Answer#

To find Series A startups by industry and role, verify three claims independently: the company fits the industry, its latest publicly disclosed priced round is Series A, and a current first-party source names the person in the requested role. Do not merge those facts into a confident row unless every one has evidence and a verification date.

Open the Series A CMO example in the AI Lead Finder.

The Exact Research Prompt#

This example was reviewed on August 12, 2026:

Find CMOs at Series A AI startups in the United States. For each result, include the person, company, AI product category, current role source, latest-funding-stage source, funding date, and a short fit note. Exclude companies whose later publicly disclosed round is Series B or beyond. Do not substitute a VP of Marketing or an open CMO job unless it is labeled separately.

The exclusion clauses prevent three common errors:

1. Calling a company "Series A" forever because it once raised that round
2. Treating an open CMO role as a current CMO
3. Expanding CMO into any senior marketing title without telling the reader

What a Strict Verification Pass Looks Like#

A narrow prompt often produces a short accepted list and a useful rejection log. These examples show why.

This is a better outcome than converting every partial match into a lead. Two defensible matches plus a transparent rejection log are more actionable than a list of twenty rows whose criteria drifted during research.

Define "Series A" Before You Search#

Funding labels are not perfectly standardized, and a large Series A can be bigger than another company's Series C. For this workflow, use an operational rule:

Include a private company only when its latest publicly disclosed priced equity round is explicitly labeled Series A by the company or a reliable funding source.

Then record:

• Round label
• Announcement date
• Amount, when public
• Source URL
• Whether a later priced round was found
• Verification date

Do not use company age, headcount, or total funding as a substitute for the round label.

Verify the Industry Separately#

"AI startup" can mean an AI model company, infrastructure provider, application vendor, or ordinary software company with an AI feature. Choose a boundary that fits the research goal.

For example:

• AI infrastructure: tools for building, running, observing, or securing AI systems
• AI-native application: the core product depends on AI to deliver its main workflow
• AI-enabled software: an established software category that includes AI features

Use the company's current product page to classify it, then place the reasoning in a fit note. Do not rely on a directory tag alone.

Verify the Person and Role#

Prefer sources in this order:

1. Company leadership or team page
2. Company announcement
3. Current company-authored article or event page naming the executive
4. Public professional profile
5. Reputable reporting

Role evidence should be current enough for the intended use. A two-year-old appointment announcement can start the search, but a recent company page is stronger confirmation.

Build a Research Table That Can Be Audited#

Use separate columns instead of one opaque fit score:

This structure makes it possible to refresh one claim without recreating the whole list.

Common Failure Modes#

Historical Stage Drift#

A company that raised Series A in 2023 may have raised Series B in 2025. Always search for later rounds before accepting it.

Title Inflation#

Head of Marketing, VP of Marketing, marketing advisor, and CMO are not interchangeable. Broaden titles only when the brief says to.

Vacant Role Substitution#

A company hiring a CMO is a valuable signal, but it is not a result for "CMOs at companies." Put it in a separate open-role list.

Industry Drift#

Do not quietly expand AI infrastructure into every company using an LLM. Return adjacent matches in a review section or exclude them.

False Precision#

Funding and role information can change between checks. Use verified on dates instead of presenting the table as permanently current.

Where Coherence Fits#

The Coherence AI Lead Finder can combine person, company stage, industry, geography, and evidence requirements in one research request. It returns public sources for review rather than presenting a hidden database score as proof.

Coherence does not guarantee private contact data and does not autonomously send email. The research step is for building and verifying a shortlist. Eligible company and people results can then be organized in the workspace after human review.

For company discovery based on an active job post, read How to Find Companies Hiring for a Specific Role. For the overall prompt and verification framework, read AI Prospect Research.

Verification Checklist#

• The company fits the chosen AI/industry definition.
• The latest publicly disclosed priced round is Series A.
• No later Series B or subsequent round was found.
• A current source names the person in the exact requested role.
• Funding, role, and industry each have their own source.
• Every time-sensitive claim has a verification date.
• Excluded and uncertain rows remain visible to the reviewer.

Run the Series A CMO prompt in the free Lead Finder and inspect the sources before saving a result.