SkillsProject.ai is redefining talent acquisition and workforce readiness with its AI-driven Talent Ally platform, which replaces traditional résumés with real-time skills profiling, structured interviews, and precision hiring analytics—trimming weeks off hiring cycles and delivering high-signal candidate assessments for employers.
Recognized by the Mass Technology Leadership Council as a Talent Intelligence force, the company has expanded operations with a Boston office and is aggressively recruiting top-tier full-stack and AI engineers, signaling a strong hiring surge. With a growing base of enterprise clients shifting to skills-first evaluation and its system consistently outperforming traditional methods, SkillsProject.ai is positioning itself as a key player in HR tech.
Its momentum—from innovative product deployment to strategic talent expansion—marks it as a company on a steep trajectory and one that demands close attention.
Companies with founder-led GTM motions often struggle to scale outbound without losing personalization or burning founder time. Identifying vetted accounts, crafting relevant outreach, and managing replies manually isn’t sustainable past a certain stage. Teams want to know: Which accounts show buying signals? Which ones convert? Without a system, outbound becomes guesswork. That's where GTM agents step in—automating this entire flow with clarity on what’s working and why.
We replace expensive, slow-moving staffing firms with AI agents that source, assess, and deliver verified technical talent in days—not weeks.
— SkillsProject Team
SkillSproject had a lean GTM team and they wanted to build an acquisition system that must have everything in one place — access to 30+ custom account databases, signal-based TAM segmentation, automated enrichment, scoring, and qualification. They needed fast list creation, 1:1 personalized icebreakers (like “Saw this person recommended you” from LinkedIn), campaign scheduling, contextual follow-ups, and automated routing of interested leads.
Email infrastructure, deliverability setup, and two-way CRM sync had to be included — no stitching tools together. What made it work wasn’t just the features, but the hands-on support.
SkillsProject was trying to identify accounts showing signs of engineering-led growth but limited recruiting infrastructure. They looked for signals like a growing tech team with only 1–2 HR people, indicating bandwidth constraints. A clear engineering focus suggested alignment with their technical talent supply. Active tech job openings signaled urgency — the ideal moment to introduce AI-based sourcing. Together, these signals revealed accounts most likely to convert due to need, fit, and timing.
Target hot accounts with strong buying signals—those rapidly expanding in Customer Success, with both the budget and need for your product.
Act quickly to book meetings within the next 10 days, as these accounts are prime for conversion right now.
Signal 1: Growing tech team but small or no HR/talent team
(Typically just 1–2 people managing recruiting, often over-reliant on resume filtering or recruiters)
Signal 2: Clear tech/engineering focus
(They have engineers, which means we can match with vetted, job-ready technical talent)
Signal 3: Actively hiring for tech roles
(Open engineering roles indicate urgency — and this is where AI-driven sourcing creates the most value)
Now, let’s take a look at how the GTM Agent put this into action.
The GTM Agent targeted accounts matching the above signals and turned high-intent leads into warm conversations—without any manual follow-ups from the founder. This gave the team bandwidth to focus on closing, while outbound ran on autopilot.
Challenge: The manual, time-intensive process of finding companies actively hiring.
Solution: An AI-powered workflow implemented to automate lead identification, research, and qualification.
Let’s take a look at the flow run by the AI Agent for SkillsProject
Input & Initial Data Capture: Basic company information is entered.
Company Extraction: Using a Google query to extract a list of companies actively hiring engineering roles.
Find Company Domain: Auto-discover the domain of each company using its name.
Enrich Company Info: Fetch enriched data like size, location, website, social links, etc., using name and domain.
US Presence Check: Use AI to search if the company has a presence in the US by scanning search engine results for terms like “United States” or “USA”.
Decision Maker Identification and Email Enrichment: The system then finds relevant decision-makers within the company. After that, Contact email addresses are enriched using the gathered information.
Save to SmartLead: Automatically push enriched lead data (name, email) into a SmartLead
Human-in-the-Loop Campaign Management
While GTM Agents are autonomous, every campaign benefits from an expert-led human-in-the-loop (HITL) architecture that ensures precision, adaptability, and reliability—especially in complex SaaS and GTM environments where AI alone may fall short.
The campaign engine is supported by real humans with deep expertise in GTM systems, making the service resilient, customizable, and highly contextual.
What This Means for the SkillsProject Team:
No DIY configurations — Our team handles all technical setup, infrastructure, and sequencing logic.
No risk of failure — If the AI agent cannot process a domain, extract signals, or validate contacts, our human experts step in immediately.
In this sprint we could identify 50+ accounts that are in fits show signal level hot and fits ICP fit.
With a 1% conversion rate, and ACV of 25K, this totals to X amount of identified pipeline in one week
This section uses a container element to ensure the content looks right on every device. It’s centered with the class “Centered Container.”
Convert!If you're targeting customer service managers, than you'll need a pitch that completely resonates with them.
But how do you write emails that strike are a perfect balance between promoting your business but not being too self-centered?
In this article, Sacha, CEO of Growth Room, shows how social proof helps you transform a cold email into a powerful tool that books meetings!
Here's an example of a cold email that targets customer service (CS) managers in e-commerce to sell an AI-powered CS platform 👇
Here are Sacha’s insights on what needs to be improved to get more replies:
Mistake #1 → Too promotional subject line
Avoid using popular marketing and sales keywords such as “boost”, “customer service”, and “AI” which won’t make your cold email stand out in prospects’ inboxes.
Mistake #2 → Self-centered intro line
The intro line should catch prospects’ attention by talking about them and what you can do for them. Talking about yourself won’t bring them value and interest them in reading the rest of your email.
Mistake #3 → Not-visible CTA
Because your prospects usually scan emails before reading them, adding a space line before the ending line will make their next step more clear.
Mistake #4 → Spam words
If you want to ensure your messaging gets through, avoid using spam words like “free”. Those words trigger the spam filters and land your emails in the spam folder where your target audience can’t read them.
Here is how Sacha would rewrite the previous cold email and his tips for booking more meetings!
Tip #1 → Focus on your prospect
If you want to get replies to your cold emails - talk about their company, compliment them, and ensure the majority of your email is focused on them and how to achieve their goals.
Tip #2 → Give a glimpse of the value you bring
By leveraging social proof, you can showcase prospects’ desired outcomes and tease them into replying. Mention clients and their results from relevant industries to build trust and credibility.
Tip #3 → Position yourself as an expert
Position yourself as a problem solver. Once you show your leads that you understand their pain point and know how to solve it, it will make your product/service more relevant.
Tip #4 → Non-intrusive CTA
Instead of talking about demos, ask for less effort and talk about catching up over a call/meeting. It will sound less salesy and push your prospects to reply.
Here are Sacha’s tips for effective cold emailing to sell AI-powered platforms to e-commerce CS managers:
-> Focus on the recipient, highlighting their company and goals
-> Utilize social proof relevant to their industry to establish trust
-> Position yourself as a solution to their specific challenges
-> Use a non-intrusive call-to-action, like suggesting a casual call or meeting instead of demo
Cold emails work effectively when they are targeted, personalized, clear, and part of a well-thought sales strategy.
Here are 5 best practices that will make your cold outreach effective and help you get results:
Cold emails can be effective when they are highly targeted. This means understanding the recipient's industry, role, and potential needs, and then crafting an email that speaks directly to those factors.
A key element of successful cold emails is personalization. This goes beyond just using the recipient's name; it involves tailoring the message to address their specific challenges or interests.
The effectiveness of a cold email is often tied to its clarity. As the majority of recipients first scan cold emails, they are more likely to engage with the ones that get to the point quickly and offer a clear value proposition.
Persistence in cold outreach pays off! Follow-up emails, when done respectfully and increasing the value, can boost the chances of getting a reply.
The success of cold emails should be measured not just by open or response rates, but also by the quality of the interactions they initiate (e.g., established connections, closed deals)
Salesloft can be used in Large Enterprises, Mid Size Business, Non Profit, Public Administrations, and Small Businesses.
It was built for the entire revenue teams to optimize customer journey:
SkillsProject.ai is redefining talent acquisition and workforce readiness with its AI-driven Talent Ally platform, which replaces traditional résumés with real-time skills profiling, structured interviews, and precision hiring analytics—trimming weeks off hiring cycles and delivering high-signal candidate assessments for employers.
Recognized by the Mass Technology Leadership Council as a Talent Intelligence force, the company has expanded operations with a Boston office and is aggressively recruiting top-tier full-stack and AI engineers, signaling a strong hiring surge. With a growing base of enterprise clients shifting to skills-first evaluation and its system consistently outperforming traditional methods, SkillsProject.ai is positioning itself as a key player in HR tech.
Its momentum—from innovative product deployment to strategic talent expansion—marks it as a company on a steep trajectory and one that demands close attention.
Companies with founder-led GTM motions often struggle to scale outbound without losing personalization or burning founder time. Identifying vetted accounts, crafting relevant outreach, and managing replies manually isn’t sustainable past a certain stage. Teams want to know: Which accounts show buying signals? Which ones convert? Without a system, outbound becomes guesswork. That's where GTM agents step in—automating this entire flow with clarity on what’s working and why.
We replace expensive, slow-moving staffing firms with AI agents that source, assess, and deliver verified technical talent in days—not weeks.
— SkillsProject Team
SkillSproject had a lean GTM team and they wanted to build an acquisition system that must have everything in one place — access to 30+ custom account databases, signal-based TAM segmentation, automated enrichment, scoring, and qualification. They needed fast list creation, 1:1 personalized icebreakers (like “Saw this person recommended you” from LinkedIn), campaign scheduling, contextual follow-ups, and automated routing of interested leads.
Email infrastructure, deliverability setup, and two-way CRM sync had to be included — no stitching tools together. What made it work wasn’t just the features, but the hands-on support.
SkillsProject was trying to identify accounts showing signs of engineering-led growth but limited recruiting infrastructure. They looked for signals like a growing tech team with only 1–2 HR people, indicating bandwidth constraints. A clear engineering focus suggested alignment with their technical talent supply. Active tech job openings signaled urgency — the ideal moment to introduce AI-based sourcing. Together, these signals revealed accounts most likely to convert due to need, fit, and timing.
Target hot accounts with strong buying signals—those rapidly expanding in Customer Success, with both the budget and need for your product.
Act quickly to book meetings within the next 10 days, as these accounts are prime for conversion right now.
Signal 1: Growing tech team but small or no HR/talent team
(Typically just 1–2 people managing recruiting, often over-reliant on resume filtering or recruiters)
Signal 2: Clear tech/engineering focus
(They have engineers, which means we can match with vetted, job-ready technical talent)
Signal 3: Actively hiring for tech roles
(Open engineering roles indicate urgency — and this is where AI-driven sourcing creates the most value)
Now, let’s take a look at how the GTM Agent put this into action.
The GTM Agent targeted accounts matching the above signals and turned high-intent leads into warm conversations—without any manual follow-ups from the founder. This gave the team bandwidth to focus on closing, while outbound ran on autopilot.
Challenge: The manual, time-intensive process of finding companies actively hiring.
Solution: An AI-powered workflow implemented to automate lead identification, research, and qualification.
Let’s take a look at the flow run by the AI Agent for SkillsProject
Input & Initial Data Capture: Basic company information is entered.
Company Extraction: Using a Google query to extract a list of companies actively hiring engineering roles.
Find Company Domain: Auto-discover the domain of each company using its name.
Enrich Company Info: Fetch enriched data like size, location, website, social links, etc., using name and domain.
US Presence Check: Use AI to search if the company has a presence in the US by scanning search engine results for terms like “United States” or “USA”.
Decision Maker Identification and Email Enrichment: The system then finds relevant decision-makers within the company. After that, Contact email addresses are enriched using the gathered information.
Save to SmartLead: Automatically push enriched lead data (name, email) into a SmartLead
Human-in-the-Loop Campaign Management
While GTM Agents are autonomous, every campaign benefits from an expert-led human-in-the-loop (HITL) architecture that ensures precision, adaptability, and reliability—especially in complex SaaS and GTM environments where AI alone may fall short.
The campaign engine is supported by real humans with deep expertise in GTM systems, making the service resilient, customizable, and highly contextual.
What This Means for the SkillsProject Team:
No DIY configurations — Our team handles all technical setup, infrastructure, and sequencing logic.
No risk of failure — If the AI agent cannot process a domain, extract signals, or validate contacts, our human experts step in immediately.
In this sprint we could identify 50+ accounts that are in fits show signal level hot and fits ICP fit.
With a 1% conversion rate, and ACV of 25K, this totals to X amount of identified pipeline in one week
This section uses a container element to ensure the content looks right on every device. It’s centered with the class “Centered Container.”
Convert!SkillsProject.ai is redefining talent acquisition and workforce readiness with its AI-driven Talent Ally platform, which replaces traditional résumés with real-time skills profiling, structured interviews, and precision hiring analytics—trimming weeks off hiring cycles and delivering high-signal candidate assessments for employers.
Recognized by the Mass Technology Leadership Council as a Talent Intelligence force, the company has expanded operations with a Boston office and is aggressively recruiting top-tier full-stack and AI engineers, signaling a strong hiring surge. With a growing base of enterprise clients shifting to skills-first evaluation and its system consistently outperforming traditional methods, SkillsProject.ai is positioning itself as a key player in HR tech.
Its momentum—from innovative product deployment to strategic talent expansion—marks it as a company on a steep trajectory and one that demands close attention.
Companies with founder-led GTM motions often struggle to scale outbound without losing personalization or burning founder time. Identifying vetted accounts, crafting relevant outreach, and managing replies manually isn’t sustainable past a certain stage. Teams want to know: Which accounts show buying signals? Which ones convert? Without a system, outbound becomes guesswork. That's where GTM agents step in—automating this entire flow with clarity on what’s working and why.
We replace expensive, slow-moving staffing firms with AI agents that source, assess, and deliver verified technical talent in days—not weeks.
— SkillsProject Team
SkillSproject had a lean GTM team and they wanted to build an acquisition system that must have everything in one place — access to 30+ custom account databases, signal-based TAM segmentation, automated enrichment, scoring, and qualification. They needed fast list creation, 1:1 personalized icebreakers (like “Saw this person recommended you” from LinkedIn), campaign scheduling, contextual follow-ups, and automated routing of interested leads.
Email infrastructure, deliverability setup, and two-way CRM sync had to be included — no stitching tools together. What made it work wasn’t just the features, but the hands-on support.
SkillsProject was trying to identify accounts showing signs of engineering-led growth but limited recruiting infrastructure. They looked for signals like a growing tech team with only 1–2 HR people, indicating bandwidth constraints. A clear engineering focus suggested alignment with their technical talent supply. Active tech job openings signaled urgency — the ideal moment to introduce AI-based sourcing. Together, these signals revealed accounts most likely to convert due to need, fit, and timing.
Target hot accounts with strong buying signals—those rapidly expanding in Customer Success, with both the budget and need for your product.
Act quickly to book meetings within the next 10 days, as these accounts are prime for conversion right now.
Signal 1: Growing tech team but small or no HR/talent team
(Typically just 1–2 people managing recruiting, often over-reliant on resume filtering or recruiters)
Signal 2: Clear tech/engineering focus
(They have engineers, which means we can match with vetted, job-ready technical talent)
Signal 3: Actively hiring for tech roles
(Open engineering roles indicate urgency — and this is where AI-driven sourcing creates the most value)
Now, let’s take a look at how the GTM Agent put this into action.
The GTM Agent targeted accounts matching the above signals and turned high-intent leads into warm conversations—without any manual follow-ups from the founder. This gave the team bandwidth to focus on closing, while outbound ran on autopilot.
Challenge: The manual, time-intensive process of finding companies actively hiring.
Solution: An AI-powered workflow implemented to automate lead identification, research, and qualification.
Let’s take a look at the flow run by the AI Agent for SkillsProject
Input & Initial Data Capture: Basic company information is entered.
Company Extraction: Using a Google query to extract a list of companies actively hiring engineering roles.
Find Company Domain: Auto-discover the domain of each company using its name.
Enrich Company Info: Fetch enriched data like size, location, website, social links, etc., using name and domain.
US Presence Check: Use AI to search if the company has a presence in the US by scanning search engine results for terms like “United States” or “USA”.
Decision Maker Identification and Email Enrichment: The system then finds relevant decision-makers within the company. After that, Contact email addresses are enriched using the gathered information.
Save to SmartLead: Automatically push enriched lead data (name, email) into a SmartLead
Human-in-the-Loop Campaign Management
While GTM Agents are autonomous, every campaign benefits from an expert-led human-in-the-loop (HITL) architecture that ensures precision, adaptability, and reliability—especially in complex SaaS and GTM environments where AI alone may fall short.
The campaign engine is supported by real humans with deep expertise in GTM systems, making the service resilient, customizable, and highly contextual.
What This Means for the SkillsProject Team:
No DIY configurations — Our team handles all technical setup, infrastructure, and sequencing logic.
No risk of failure — If the AI agent cannot process a domain, extract signals, or validate contacts, our human experts step in immediately.
In this sprint we could identify 50+ accounts that are in fits show signal level hot and fits ICP fit.
With a 1% conversion rate, and ACV of 25K, this totals to X amount of identified pipeline in one week
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