AI-Powered Intelligent Hiring Solutions

Find and Engage Better
Candidates, Faster

OpenJobs AI helps hiring managers and recruiters move faster by surfacing better-matched candidates earlier, so interviews start sooner and roles fill faster

[ IMPACT ]

A faster path to
qualified interviews.

65% less manual recruiting work across sourcing, outreach, screening, and interview coordination.

S. Park · resume.pdf Backend | SF Backend Engineer CV Open role: Staff+ · Agents + Infra · Updated live by Mira Experience Highlights 8 years building APIs and platform tooling. Led migrations to K8s, owned on-call for payments infra. Keywords scattered across two pages — dates in headers, skills buried in bullets.Previous role titles inconsistent. Mira will normalize this into one brief the hiring team can actually scan. — Led platform migrations at two high-growth startups.— Strong on-call culture and API ownership.— Ready for technical screen → system design. Median Home Price by City — 2020 vs 2024 New York Los Angeles Miami Chicago Austin Seattle Boston Denver 0 200 400 600 800 2020 2024 Skills & Experience Kubernetes Expert Expert 92% 38 Senior Strong Strong Strong Emerging Expert Solid Growing 38 Senior 38 Mid 38 Junior 38 Mid 38 Senior 38 Senior 88% 85% 90% 94% +12% +17% $680k Seniork Midk $610k $295k $370k $580k $490k $630k $650k $390k $740k Distributed Systems LLM Agents Chicago, IL Python / Go AWS / GCP PostgreSQL City Price 2020 Price 2024 Growth Avg. Mkt Price/Sqft Market Status M. Okonkwo · CV.docx UX | Hybrid UX Designer Resume Open role: Staff+ · Agents + Infra · Updated live by Mira Experience Highlights 8 years building APIs and platform tooling. Led migrations to K8s, owned on-call for payments infra. Keywords scattered across two pages.Previous titles inconsistent — Mira normalizes this into one scannable brief. — Led platform migrations at two high-growth startups.— Strong on-call culture and API ownership.— Ready for technical screen → system design. Median Home Price by City — 2020 vs 2024 New York Los Angeles Miami Chicago Austin Seattle Boston Denver 0 200 400 600 800 2020 2024 Skills & Experience Kubernetes Expert Expert 92% 38 Senior Strong Strong Strong Emerging Expert Solid Growing 38 Senior 38 Mid 38 Junior 38 Mid 38 Senior 38 Senior 88% 85% 90% 94% +12% +17% $680k Seniork Midk $610k $295k $370k $580k $490k $630k $650k $390k $740k Distributed Systems LLM Agents Chicago, IL Python / Go AWS / GCP PostgreSQL City Price 2020 Price 2024 Growth Avg. Mkt Price/Sqft Market Status J. Rivera · LinkedIn PM Lead | NYC Data Scientist Resume Open role: Staff+ · Agents + Infra · Updated live by Mira Experience Highlights 8 years building APIs and platform tooling. Led migrations to K8s, owned on-call for payments infra. Keywords scattered across two pages.Previous titles inconsistent — Mira normalizes this into one scannable brief. — Led platform migrations at two high-growth startups.— Strong on-call culture and API ownership.— Ready for technical screen → system design. Median Home Price by City — 2020 vs 2024 New York Los Angeles Miami Chicago Austin Seattle Boston Denver 0 200 400 600 800 2020 2024 Skills & Experience Kubernetes Expert Expert 92% 38 Senior Strong Strong Strong Emerging Expert Solid Growing 38 Senior 38 Mid 38 Junior 38 Mid 38 Senior 38 Senior 88% 85% 90% 94% +12% +17% $680k Seniork Midk $610k $295k $370k $580k $490k $630k $650k $390k $740k Distributed Systems LLM Agents Chicago, IL Python / Go AWS / GCP PostgreSQL City Price 2020 Price 2024 Growth Avg. Mkt Price/Sqft Market Status L. Kim · CV.docx Data Sci | Remote Product Manager CV Open role: Staff+ · Agents + Infra · Updated live by Mira Experience Highlights 8 years building APIs and platform tooling. Led migrations to K8s, owned on-call for payments infra. Keywords scattered across two pages.Previous titles inconsistent — Mira normalizes this into one scannable brief. — Led platform migrations at two high-growth startups.— Strong on-call culture and API ownership.— Ready for technical screen → system design. Median Home Price by City — 2020 vs 2024 New York Los Angeles Miami Chicago Austin Seattle Boston Denver 0 200 400 600 800 2020 2024 Skills & Experience Kubernetes Expert Expert 92% 38 Senior Strong Strong Strong Emerging Expert Solid Growing 38 Senior 38 Mid 38 Junior 38 Mid 38 Senior 38 Senior 88% 85% 90% 94% +12% +17% $680k Seniork Midk $610k $295k $370k $580k $490k $630k $650k $390k $740k Distributed Systems LLM Agents Chicago, IL Python / Go AWS / GCP PostgreSQL City Price 2020 Price 2024 Growth Avg. Mkt Price/Sqft Market Status OPENJOBS AI Staff Backend Engineer | SF / Remote Candidate Brief Open role: Staff+ · Agents + Infra · Updated live by Mira Role Summary Interview Readiness Mira ingests resumes from PDF, DOCX, and LinkedIn — then normalizes titles, tenure, skills, and impact into one brief your team can scan in seconds. It flags must-have gaps, surfaces hidden strengths, and drafts outreach notes so hiring managers move to interviews faster — without another spreadsheet or manual copy-paste between ATS tabs and Slack threads. — Strong distributed-systems background with 8 yrs infra; led platform migrations at two high-growth startups.— Clear ownership story on API reliability and on-call culture.— Recommend: technical screen → system design → values chat. Outreach draft ready in Mira. Fit Signals Candidate Name Alex Chen Title / Role Staff Engineer Last Updated 04 / 01 / 2026 Match ID #MIRA-ENG-042 LinkedIn Skills & Experience Kubernetes Expert Expert 92% 38 Senior Strong Strong Strong Emerging Expert Solid Growing 38 Senior 38 Mid 38 Junior 38 Mid 38 Senior 38 Senior 88% 85% 90% 94% +12% +17% $680k Seniork Midk $610k $295k $370k $580k $490k $630k $650k $390k $740k Distributed Systems LLM Agents Chicago, IL Python / Go AWS / GCP PostgreSQL City Price 2020 Price 2024 Growth Avg. Mkt Price/Sqft Market Status
SYNTHESIZING RESUMES... CHART KEY HEADER IMAGE TEXT TABLE Skill Match Py / Go 92% K8s / AWS 88% 04▒▚░ Stripe Notion 04▙▟█ Figma $1▓▓▟ 04▒▒▟ Linear $8▙░ Work History DATE VENUE AMOUNT Candidate Info PROFILE alex_chen_resume.pdf T▓░▓▟ Engineering S██░▟▚▚ Shortlisted Skill Signals ▒█▓▟░▞▟ ░▞▞▒█░▞▙█▟█ Python Expert ▟█▞ Go Strong ▞▞▞ K8s Solid ▟▞▞ Culture Fit Ownership ▞▞▒ Communication ▟░▓ ▞▚█▞▚▟▙ ▞██ ▟▒▚▚▟▟▚▓ ▞▞▚▟▚▒▓ ▙▙█░▙▞▙▒██ ▒▟▞▟▙▚▚▟▒ █▙█▚█▞ ▒▒▒▙▟▙▒▞▒▚ ▚░▚▙ ▞▓▒░▞█▓▒▚▚ ▟▞░▒ ▚ ▓▙▙ █▓▞░░ █ ▚░▞▒▒ █▒▙ ▚▚▞ ▞▞▚▞░ ▒▚▞▞▙▒ ▚░▓▟▚▙ ▞▟▓▟▙▒▓▓▞ ▓█▞▚▞ ▟░█▓█▓▓▟
[ THOSE WHO OWN HIRING ]

Built for Those
Who Own Hiring

Hiring is slowing your team down. Whether you're a hiring manager without a dedicated recruiter or a recruiter juggling too many roles, sourcing still consumes hours every week and every open role slows execution, delivery, and results.

Hire Smarter, Not Harder

Mira, the OpenJobs AI agent, removes hiring friction so you can focus on candidates who truly matter.

What users see when using Mira:

95% schedule their first interviews within 24 hours. 45% receive candidate responses within 3 hours. 84% faster than traditional sourcing. 5x higher outreach response rates.

95% of users begin scheduling interviews within 24 hours

No credit card required • Cancel anytime

[ HOW MIRA WORKS ]

How Mira works.

Align on what the role actually needs

OpenJobs AI captures real requirements and nuance upfront, so sourcing starts in the right direction.

Candidates are identified and engaged automatically

Mira AI expands the search, runs outreach 24/7, and surfaces early signals on fit.

You focus on interviews, not inboxes

Review interested, qualified candidates and move straight to conversations.

[ PRICING ]

Simple, transparent pricing.

Only pay for candidates who are interested and ready to interview. Choose the monthly plan that matches your hiring volume.

Starter

$249 / month

Billed monthly

Perfect for small teams getting started.

Get started
  • 3 credits/month
  • Unlock 3 interested candidates per month
  • 1 new role/month
  • Create up to 1 new role each month
  • 1 active role per month
  • AI-powered sourcing & outreach
  • Only pay for interested candidates
  • Email support
Professional

$799 / month

Billed monthly

For high-volume recruiting teams.

Get started
  • 30 credits/month
  • Unlock 30 interested candidates per month
  • 6 new roles/month
  • Create up to 6 new roles each month
  • 6 active roles per month
  • Everything in Growth
Scale

$1,499 / month

Billed monthly

Enterprise-grade for large teams.

Get started
  • 75 credits/month
  • Unlock 75 interested candidates per month
  • 12 new roles/month
  • Create up to 12 new roles each month
  • 12 active roles per month
  • Dedicated success manager
  • Custom integrations
  • SLA guarantee
  • Volume discounts
[ FAQS ]

Frequently Asked

  • An ATS mainly stores and manages applicants already in a hiring pipeline. Mira is an execution layer that helps hiring teams brief roles, search for talent, run outreach and follow-up, qualify interest, and schedule interviews.
  • We train on diverse data sources and remove identifying attributes. Every recommendation is accompanied by a bias-detection report. In the console, you'll see an explainability summary and can manually adjust any screening criteria.
  • Most teams move fast once Mira is live. 95% of users begin scheduling interviews within 24 hours, and 45% receive candidate responses within 3 hours — so you spend less time sourcing and more time in conversations that matter.
  • You only pay for candidates who are interested and ready to interview. Plans are credit-based, so spend scales with the number of qualified candidates you unlock each month rather than seats, job posts, or outreach volume.