THE FUTURE OF TALENT ACQUISITION

Sherpa is your new AI Agent Recruiter

Sherpa is the only REAL AI agent that automates sourcing, screening, and candidate management to help hiring teams operate more efficiently, consistently, and at scale.

Sherpa — AI Agent
Thought for 4s
get_upcoming_interviews list_applicants
Good morning, Sophie! Here's a quick overview:

📅 1 interview today — David Nguyen at 3:00 PM.
📥 5 new applications since yesterday.
🚀 2 sourcing campaigns active — 43 new profiles this week.

What would you like to work on?
09:02 AM
Create a job post for a Senior Full-Stack Engineer. Remote, $90K–$110K. Strong React and Node.js skills required.
09:04 AM
Thought for 3s
validate_job_title create_job_post
Done! Your job post is now live:

Senior Full-Stack Engineer
📍 Remote (Canada) · 💼 Full-time · 💰 $90K–$110K

Published on your career site and distributed to connected job boards. Want me to launch a sourcing campaign to find candidates?
09:04 AM
Yes, launch a sourcing campaign. Target Canada, focus on LinkedIn and job boards.
09:05 AM
Thought for 5s
handle_sourcing_campaign
Your campaign is live across LinkedIn, Indeed, Monster and ZipRecruiter — estimated 40–60 new profiles per week.

First candidates already identified:
· Sophie Beaumont — Toronto · React, Node.js · 94% match
· Marc-André Pelletier — Montréal · React, Node.js, AWS · 91% match
· Lena Clarke — Vancouver · TypeScript, GraphQL · 87% match
· Amir Taheri — Ottawa · Node.js, Redis · 84% match

Would you like me to send outreach emails or add them to the pipeline?
09:05 AM

Reduce manual recruiting work without compromising oversight or quality.

Sherpa enables hiring teams to standardize workflows, accelerate decision-making, and maintain full visibility across the candidate lifecycle.

A Complete Recruiting Platform
Enhanced by an AI Agent

Sherpa combines core ATS functionality with intelligent automation to support structured, compliant, and scalable hiring operations.

Hiring Pipelines

Structured Hiring Pipelines

Manage candidates through configurable pipeline stages that support consistent evaluation, collaboration, and reporting across teams.

Applied 2
SB
0 d 0
React Node.js
AT
1 d 0
Node.js
Screening 2
MP
4 d 2
React AWS
DN
3 d 1
Python
Interview 2
FT
Mar 25 10:00
7 d 3
React
KB
Mar 27 14:00
6 d 1
Node.js
Offer 1
JR
12 d 4
React
Resume Review & Collaboration

Centralized Resume Review and Collaboration

Review, annotate, and share candidate feedback directly within the platform, ensuring alignment across recruiters and hiring managers.

Candidates
SB
Sophie B.
Interview
MA
Marc-André P.
Screening
LC
Lena C.
Applied
AT
Amir T.
Applied
Resume: Sophie Beaumont
Download
Sophie Beaumont
Toronto, ON · [email protected] · +1 416 555 0192
Experience
Senior Full-Stack Engineer — Shopify
2020 – Present
Led migration of core checkout to React + Node.js microservices. Reduced p95 latency by 40%.
Full-Stack Developer — Lightspeed
2017 – 2020
Built merchant-facing dashboard using TypeScript and PostgreSQL.
Data Protection & Compliance

Privacy-First and GDPR-Aligned

Sherpa is built with data protection principles at its core, supporting GDPR-aligned workflows and responsible handling of candidate information.

Data Protection Officer (DPO)

If your organization is required to appoint a DPO under GDPR Art. 37, enter their contact information here.

Privacy Policy
Data Retention Policy
Withdrawn applications: deleted within 30 days
GDPR Requirements
When is a DPO required?

Under GDPR Art. 37, you must appoint a DPO if:

  • You are a public authority
  • Core activities require large-scale monitoring
  • You process special categories of data

Candidate Rights
  • Right of access (Art. 15)
  • Right to erasure (Art. 17)
  • Right to portability (Art. 20)
AI-Driven Candidate Insights

AI-Assisted Candidate Evaluation

Sherpa anonymize and analyzes resumes to surface relevant insights, helping teams review candidates more efficiently while maintaining human oversight.

Sophie Beaumont Senior Full-Stack Engineer

Strong React and Node.js background with 6+ years at Shopify. Led high-impact migrations, excellent performance track record. Salary expectations align with range. Highly recommend advancing to technical interview.

✓ Recommended
S

Impressive profile. Her Shopify experience is exactly what we need. Would like to see a coding challenge before final decision.

✓ Pass

How Sherpa Supports Hiring Teams

AI-assisted workflows integrated directly into your ATS.

1
Define Hiring Objectives

Hiring teams interact with Sherpa using natural language to create jobs, initiate sourcing, or request candidate analysis.

2
Automate Execution

Sherpa performs sourcing, screening, and data analysis within the ATS, following structured workflows.

3
Review and Decide

Teams receive organized, ranked, and review-ready candidates, enabling faster and more consistent decision-making.

Supporting Key Recruiting Workflows

Job creation and standardization
Candidate sourcing and shortlisting
Resume screening and evaluation
Pipeline management and reporting
Hiring team collaboration
Live example — Job creation & sourcing via Sherpa
Post a Senior Data Engineer role, remote, $100–$130K. Then source 5 candidates from LinkedIn.
Thought for 4s
validate_job_title create_job_post handle_sourcing_campaign
Done! Senior Data Engineer is live (Remote · $100K–$130K). Sourcing campaign launched on LinkedIn — first 5 candidates already identified:

· Emma Tremblay — Montréal · Spark, dbt · 93% match
· James Okafor — Toronto · Airflow, Snowflake · 90% match
· Priya Nair — Vancouver · Python, Kafka · 87% match

Want me to send outreach emails or add them to the pipeline?

Operational Efficiency Without Added Complexity

Reduce time spent on manual screening
Improve consistency across hiring decisions
Shorten time-to-hire
Enable teams to scale hiring operations without increasing overhead

Sherpa supports both high-volume and specialized hiring needs.

Modernize Your Hiring Operations with Sherpa

Transform your ATS into an intelligent recruiting platform designed to support structured, compliant, and efficient hiring at scale.

No disruption to existing workflows. No unnecessary complexity.

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