Candid - Hire Exceptional Talent

The AI-native hiring platform

An autonomous sourcer that learns your hiring bar, engages candidates continuously, and delivers meeting-ready talent in Slack, while improving.

Hiring manager

Calibrating

Initial outreach

Sent

Meetings scheduled

Hiring manager

Candid

Shortlist S

Reject R

Maybe later L

More

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Stefan Novak

Group Product Manager

San Francisco, CA

Experience

Rippling

Group Product Manager

2022 to Present

Senior Product Manager

2020 to 2022

Product Manager, Loom

2018 to 2020

Associate Product Manager, Asana

2016 to 2018

Education

University of Calgary

MS, Computer Science, 2015

Skills

Strategy Leadership Agile Data Analysis User Research Roadmapping

Why they're a fit

Role requirements

5+ yrs at scale

Technical depth

High autonomy

AI/ML or devtools

0-to-1 launches

Company preferences

Bias toward builders and shippers

Top-tier company pedigree

Based in SF or willing to relocate

Priya Sharma

Senior Product Manager

New York, NY

Experience

Senior Product Manager, Stripe

2021 to Present

Product Manager, Coda

2018 to 2021

Associate PM, Uber

2017 to 2018

Education

MIT

BS, Computer Science, 2017

Skills

API Design Payments Growth SQL A/B Testing

Why they're a fit

Role requirements

5+ yrs at scale

Technical depth

High autonomy

AI/ML or devtools

0-to-1 launches

Company preferences

Bias toward builders and shippers

Top-tier company pedigree

Based in SF or willing to relocate

Marcus Chen

Product Lead

San Francisco, CA

Experience

Summer Health

Product Lead

2023 to Present

Senior Product Manager

2021 to 2023

Product Manager, Linear

2019 to 2021

Associate PM, Airbnb

2017 to 2019

Education

Stanford University

MS, HCI, 2017

UC Berkeley

BS, Cognitive Science, 2015

Skills

Design Systems Prototyping React User Research OKRs

Why they're a fit

Role requirements

5+ yrs at scale

Technical depth

High autonomy

AI/ML or devtools

0-to-1 launches

Company preferences

Bias toward builders and shippers

Top-tier company pedigree

Based in SF or willing to relocate

Hiring manager

via

Meeting scheduled

Used by ambitious startups backed by these investors

Calibration

Calibrate your hiring bar

Share role preferences, ideal signals, and target companies, then rate a few profiles so Candid learns your hiring bar. It aligns across every dimension to source the way you would.

Company details

Company preferences

Bias toward builders

Job description

Role requirements

5+ yrs distributed System design

Ideal candidates

Target companies

Harvey

Plaid

Vercel

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Rina Takahashi

Staff Software Engineer

Austin, TX

Fit signals

Experience

Staff Engineer, Vanta

2022 to Present

Senior Engineer, Cloudflare

2019 to 2022

James Okafor

Senior Backend Engineer

Seattle, WA

Fit signals

Experience

Senior Engineer, Linear

2021 to Present

Software Engineer, Vercel

2018 to 2021

Anika Patel

Engineering Manager

Denver, CO

Fit signals

Experience

Engineering Manager, Decagon

2022 to Present

Senior Engineer, Twilio

2019 to 2022

Ryan Kimura

Platform Engineer

Portland, OR

Fit signals

Experience

Platform Engineer, Railway

2021 to Present

Backend Engineer, HashiCorp

2018 to 2021

Leah Nguyen

Senior Systems Engineer

Chicago, IL

Fit signals

Experience

Senior Engineer, Resend

2022 to Present

Systems Engineer, Elastic

2019 to 2022

Calibration complete

Sourcing

Best fit candidates sourced

Candid works 24/7 across 1B+ talent profiles to find people who match your hiring bar. Every candidate is scored against your rubric, with new qualified profiles sourced daily.

Auto-learns from your feedback

Built-in fraud detection

Sofia Andersen

Product Lead

Seattle, WA

Experience

Product Lead, Mercury

2020 to Present

Product Manager, Mux

2018 to 2020

Product Manager, Kustomer

2016 to 2018

Why they're a fit

Role requirements

5+ yrs at scale

Technical depth

High autonomy

AI/ML or devtools

0-to-1 launches

Daniel Park

Product Lead

New York, NY

Experience

Product Lead, Notion

2022 to Present

Senior PM, Stytch

2019 to 2022

Product Manager, Pilot

2017 to 2019

Education

Stanford

MS, Computer Science, 2017

Why they're a fit

Role requirements

5+ yrs at scale

Technical depth

High autonomy

AI/ML or devtools

0-to-1 launches

Maya Torres

Product Lead

Austin, TX

Experience

Product Lead, Figma

2021 to Present

Product Manager, Sprig

2019 to 2021

Product Manager, Heap

2017 to 2019

Why they're a fit

Role requirements

5+ yrs at scale

Technical depth

High autonomy

AI/ML or devtools

0-to-1 launches

Meets your hiring bar

Outreach

Outreach sent intelligently

Candid crafts personalized, multi-step email and LinkedIn outreach for every candidate, grounded in their experience and role fit. Follow-ups adapt automatically based on responses.

Best-in-class personal email coverage

Nudges and nurtures

Initial outreach

Step 1

Sent

Optimizing angle

Candidate is interested

Meetings

Meeting-ready candidates

Candid handles scheduling automatically. When candidates respond, meetings are booked around your team's availability and shared in Slack with fit summaries and resumes.

Candid-coordinated scheduling

#hiring-eng

Sent

Meeting scheduled

Learning

An engine that compounds

Every signal, from shortlist decisions to candidate responses, feeds back through RLHFReinforcement learning from human feedback. A machine learning technique where the model improves by incorporating real human decisions and engagement signals into its predictions over time.. Sourcing gets sharper, scoring gets more accurate, and outreach learns what resonates.

Candidate engagement

Hiring manager feedback

Open & click rates

Meetings scheduled

Candidate engagement

Hiring manager feedback

Open & click rates

Meetings scheduled

Interview feedback

Hiring outcomes

Messaging effectiveness

Hiring insights

Interview feedback

Hiring outcomes

Messaging effectiveness

Hiring insights

Connects with your stack

Push qualified candidates to 25+ ATS tools, Slack for review, and more.

Security

Enterprise-grade security

SOC 2 Type II compliant

SOC 2

Isolated data for AI models

Granular team permissions

View security program

FAQ

Frequently asked questions

How does Candid learn my hiring bar?

You share role preferences, ideal signals, and target companies. Candid then runs calibration rounds of real profiles for you to score. It analyzes your patterns, refines its search, and sharpens with each round. Takes about 10 minutes. From there, every shortlist, rejection, and hiring outcome keeps improving the model automatically.

How does sourcing work and where do candidates come from?

Candid searches 1B+ profiles across LinkedIn, GitHub, and our own talent network. Every candidate is scored against your rubric, role preferences, and deal breakers. Only those that clear a high bar are surfaced, each with a detailed scorecard.

New candidates appear daily, ranked by fit, with no manual searching. Coverage compounds over time without sacrificing quality.

Does Candid replace my ATS?

No. Candid sits on top of your existing stack. It integrates with Greenhouse, Lever, Ashby, and 25+ other tools, plus Slack, Gmail, Outlook, and your calendar. Sourcing, scoring, and outreach happen autonomously, and qualified candidates are pushed directly into your ATS pipeline.

What makes Candid different and how does it improve over time?

Candid uses semantic search, not keyword matching, so it identifies strong matches traditional tools miss. It also does deep research on candidates beyond what's on a resume.

Every decision feeds back through RLHF: shortlists shape future searches, rejections refine what to avoid, and outreach engagement teaches which messaging works. The result is a sourcing engine that compounds in accuracy with every interaction.

Is my data secure?

Yes. Candid is SOC 2 Type II compliant with encryption at rest and in transit. Your data is fully isolated and never shared across customers. All outreach is sent from your own connected mailbox, not a third-party service.

How does the outreach work?

When you shortlist a candidate, Candid generates a personalized multi-step email sequence based on their background and role fit. You can also enable LinkedIn outreach.

You review and approve the initial message. Follow-ups are custom, not templates, and reposition the opportunity with different angles. Candid responds to replies, nudges warm leads, and handles scheduling when candidates express interest. Every open, click, and reply feeds back in so messaging improves over time.

Are sourced candidates shortlisted automatically, or do I review them first?

You're in full control. Review every candidate manually, or set auto-rules to shortlist based on score thresholds and signals. Same for outreach: approve every email before it sends, or auto-send on shortlist. You decide how much is automated.

How does scheduling and meetings work?

When a candidate expresses interest, Candid coordinates directly with them to book a meeting around your team's availability. You get notified in Slack with a calendar invite, video link, and candidate summary. Rescheduling and cancellations are handled automatically.

How does pricing work?

Candid runs on a credit-based model starting at $1,000/month. Credits power everything: calibration, sourcing, outreach, candidate research, email discovery, and scheduling. Because the system is always on and token-intensive (deep reasoning models, real-time learning, 24/7 sourcing), credits scale with role intensity, ranging from 1x to 3x depending on how aggressively you want to source. No per-seat fees, no hidden costs. View pricing plans

Hire exceptional talent

Fill your pipeline with warm, qualified talent this week.