Candidate search, better than ever.
Built to be
fastMMMMMMMMM

From your database or the open market, Lope builds the accurate shortlist for every role.

Make your first search Book a demo

Candidates

Two-side Integrationswith your favorite ATS & CRM

[01]. How it works

Describe the talent you're looking for.

Senior backend and ML engineers in London at B2B SaaS companies,6+ years building data platforms in Python.

Job Title

Location

Skills

Years of Experience

Industry

Internal

Short summary

Last synced: 10/05/2026

92% match across 5 criteria. Currently a Senior ML Engineer^¹ in London, United Kingdom^¹. Strong skill match for Python and distributed systems^¹. Has 7 years of experience^¹, and Workable is a B2B SaaS company^². A strong fit on every criterion.

Perfect matchSenior ML engineer in London with the right SaaS background, and every required skill lines up.

Internal

Short summary

Last synced: 11/05/2026

84% match across 5 criteria. Currently a Senior Backend Engineer^¹ in London, United Kingdom^¹. Strong skill match for Python and distributed systems^¹, and Greenhouse is a B2B SaaS company^². Has 5 years of experience^¹, just under the 6+ year target.

Experience noteRight stack, city, and SaaS sector; the one gap is sitting just under the 6+ year mark.

External

Short summary

Last synced: 08/05/2026

76% match from mixed search. Currently a Principal Backend Engineer^¹ with strong Python and distributed systems^¹. Has 11 years of experience^¹ and Teamtailor is a B2B SaaS company^², but Stockholm, Sweden^¹ sits outside your London target.

Location noteExcellent backend engineer at a SaaS company, but based in Stockholm rather than London.

AI sourcing first.Recruiting context right behind it.

Lope gives the search brief a real memory: candidate data, source signals, interview evidence, and fresh movement when the market changes.

[02]. Features

Candidates to Enrich

Michael RossBusiness Development ManagerUber · London, England, United Kingdom

Enrich from LinkedIn

Daniel FosterSenior Backend EngineerGreenhouse · London, United Kingdom

Enrich from Github

Sofia BergstromPrincipal Backend EngineerTeamtailor · Stockholm, Sweden

Enrich from all sources

Priya NairSenior Product Designer · 33 min · transcript ready

Ask anything about this interview…

How does Priya approach design systems at Figma?

Lope

She consolidated fragmented UI patterns into one token-based library, cutting design-to-dev handoff time while keeping accessibility built in.

07:3215:10

Any signal on how she runs user research?

Lope

Runs lightweight weekly usability tests and feeds the findings straight into prototypes before engineering picks them up.

21:48

James Okonkwo

Senior ML Engineer

GeneralExperienceEducationTechnicalSkillsCVNotesTracking

Experiences

TOTAL EXPERIENCE9 yrs 7 mos

AVERAGE TENURE4 yrs 10 mos

CURRENT TENURE4 yrs 3 mos

Workable7 yrs 3 mos

Senior ML EngineerMar 2022 – Present · 4 yrs 3 mosLondon, United Kingdom

ML EngineerApr 2019 – Mar 2022 · 3 yrs 0 mosLondon, United Kingdom

Teamtailor2 yrs 4 mos

ML EngineerDec 2016 – Mar 2019 · 2 yrs 4 mosStockholm, Sweden

Candidate enrichment

Turn scattered signals into searchable profiles.

Lope pulls in LinkedIn, GitHub, CVs and all available sources. Then enriches every candidate into one complete, searchable profile.

Candidates to Enrich

Michael RossBusiness Development ManagerUber · London, England, United Kingdom

Enrich from LinkedIn

Daniel FosterSenior Backend EngineerGreenhouse · London, United Kingdom

Enrich from Github

Sofia BergstromPrincipal Backend EngineerTeamtailor · Stockholm, Sweden

Enrich from all sources

Interviews

Keep interview context with the candidate, not in someone's notes.

Lope's meeting workflow captures conversations, transcripts, and takeaways where the team can reuse them during evaluation.

Priya NairSenior Product Designer · 33 min · transcript ready

Ask anything about this interview…

How does Priya approach design systems at Figma?

Lope

She consolidated fragmented UI patterns into one token-based library, cutting design-to-dev handoff time while keeping accessibility built in.

07:3215:10

Any signal on how she runs user research?

Lope

Runs lightweight weekly usability tests and feeds the findings straight into prototypes before engineering picks them up.

21:48

Candidate tracking

Know when the person worth revisiting has moved.

Track candidates you care about and surface meaningful profile changes when timing suddenly gets interesting again.

Candidate update

James OkonkwoSenior ML Engineer

London, United Kingdom

Senior ML EngineerWorkable

Imperial College LondonM.Eng. Computing

Lope

Recruiter alert

James Okonkwo changed roles

Now Staff ML Engineer. Matches your open leadership brief.

Add to shortlist

Chrome extension

Capture promising LinkedIn profiles before the tab disappears.

The extension lets sourcing flow from browsing into Lope with less copy-paste and less tab archaeology.

Sofia Bergstrom

Principal Backend Engineer

Teamtailor

Stockholm, Swedensofia.bergstrom@example.com

Candidate sheet

Give every candidate one place for evidence, context, and next steps.

Open a profile and see the CV, interview notes, links, source history, and pipeline context without hunting through tabs.

James Okonkwo

Senior ML Engineer

GeneralExperienceEducationTechnicalSkillsCVNotesTracking

Experiences

TOTAL EXPERIENCE9 yrs 7 mos

AVERAGE TENURE4 yrs 10 mos

CURRENT TENURE4 yrs 3 mos

Workable7 yrs 3 mos

Senior ML EngineerMar 2022 – Present · 4 yrs 3 mosLondon, United Kingdom

ML EngineerApr 2019 – Mar 2022 · 3 yrs 0 mosLondon, United Kingdom

Teamtailor2 yrs 4 mos

ML EngineerDec 2016 – Mar 2019 · 2 yrs 4 mosStockholm, Sweden

[03]. Lope MCP

Your recruiting data, inside the AI tools your team already uses.

Claude

ChatGPT

Gemini

Codex

Lope MCP

Cursor

Grok

DeepSeek

Antigravity

WORKS ANYWHERE
Any AI, one connection
Install Lope MCP once in Claude, Cursor, ChatGPT, Gemini, or any MCP-capable assistant. Candidates, pipeline, and interview context are available without switching tabs.
OAUTH SECURED
Scoped access, not shared keys
Each connection is a workspace-scoped OAuth grant. Your AI sees only what you approve, with no API keys to copy or rotate.
LIVE PRODUCT API
Real data from your workspace
Candidates, jobs, shortlists, projects, and interview transcripts surface through a single endpoint at mcp.withlope.com. Live data, not a demo dataset.

[04]. Time back

See how many hours AI Scout gives back.

Your current workload

Active searches per monthRoles you're actively sourcing for.5120+Candidates screened per searchProfiles you scan before a shortlist feels solid.15050500+Time per candidateSkim, cross-check, decide.3m1m10mRecruiter loaded hourly costUsed to translate hours into dollars.$60$30$150

Today: searches × candidates per search × minutes per candidate.

With Lope: AI Scout ranks profiles by fit, so we model recruiters reviewing the top 50% of the pool at the same minutes per candidate. The other half is filtered out by ranking, not skipped on judgment.

The dollar figure multiplies hours saved by your loaded hourly cost. No claims about win rate, placement velocity, or revenue uplift.

You get back

TodayScreening every candidate by hand38 hrs / mo

With LopeFocused review of ranked candidates19 hrs / mo

19 hrshours back / month

225 hrshours back / year

~ 5.6 recruiter work-weeks reclaimed per year.

$1,125freed up per month at your hourly cost.

Directional estimate. Your recruiters still decide who moves forward.

[05]. FAQs

The honest answersto what every recruiter asks before committing.

Who is Lope built for?

Lope is built for recruiting agencies and talent teams that need faster candidate discovery without throwing away the data they already collected.

Can Lope work with my existing ATS?

What does AI Scout search?

How does candidate enrichment help a recruiter?

What happens to interview notes and transcripts?

How does candidate tracking work?

Can I add candidates while sourcing on LinkedIn?

[06]. Changelog

Every release,one recruiter workflow improved.

Interview bots

Lope joins Google Meet and Teams calls automatically. Shortly after the interview ends, the bot transcribes it so you can ask questions based on the conversation.

MAY 27, 2026

External & mixed search

AI Scout now searches 800M+ LinkedIn profiles. Mixed search ranks external candidates alongside your internal database in a single shortlist.

APR 30, 2026

Candidate tracking

Follow candidates and get notified about company moves, promotions, new skills, certifications, and headline changes — via in-app alerts or daily digests.

MAR 18, 2026

Candidate sheet

One place for every signal: LinkedIn experience, GitHub repositories and commits, CV data with edit capabilities, and interview context — all in a single view.

FEB 10, 2026

Time to ditch every search that starts from scratch.

Book a demo

Candidate search, better than ever.
Built to be
fastMMMMMMMMM

From your database or the open market, Lope builds the accurate shortlist for every role.

Make your first search Book a demo

Candidates

Two-side Integrationswith your favorite ATS & CRM

[01]. How it works

Describe the talent you're looking for.

Senior backend and ML engineers in London at B2B SaaS companies,6+ years building data platforms in Python.

Job Title

Location

Skills

Years of Experience

Industry

Internal

Short summary

Last synced: 10/05/2026

Perfect matchSenior ML engineer in London with the right SaaS background, and every required skill lines up.

Internal

Short summary

Last synced: 11/05/2026

Experience noteRight stack, city, and SaaS sector; the one gap is sitting just under the 6+ year mark.

External

Short summary

Last synced: 08/05/2026

Location noteExcellent backend engineer at a SaaS company, but based in Stockholm rather than London.

AI sourcing first.Recruiting context right behind it.

Lope gives the search brief a real memory: candidate data, source signals, interview evidence, and fresh movement when the market changes.

[02]. Features

Candidates to Enrich

Michael RossBusiness Development ManagerUber · London, England, United Kingdom

Enrich from LinkedIn

Daniel FosterSenior Backend EngineerGreenhouse · London, United Kingdom

Enrich from Github

Sofia BergstromPrincipal Backend EngineerTeamtailor · Stockholm, Sweden

Enrich from all sources

Priya NairSenior Product Designer · 33 min · transcript ready

Ask anything about this interview…

How does Priya approach design systems at Figma?

Lope

She consolidated fragmented UI patterns into one token-based library, cutting design-to-dev handoff time while keeping accessibility built in.

07:3215:10

Any signal on how she runs user research?

Lope

Runs lightweight weekly usability tests and feeds the findings straight into prototypes before engineering picks them up.

21:48

James Okonkwo

Senior ML Engineer

GeneralExperienceEducationTechnicalSkillsCVNotesTracking

Experiences

TOTAL EXPERIENCE9 yrs 7 mos

AVERAGE TENURE4 yrs 10 mos

CURRENT TENURE4 yrs 3 mos

Workable7 yrs 3 mos

Senior ML EngineerMar 2022 – Present · 4 yrs 3 mosLondon, United Kingdom

ML EngineerApr 2019 – Mar 2022 · 3 yrs 0 mosLondon, United Kingdom

Teamtailor2 yrs 4 mos

ML EngineerDec 2016 – Mar 2019 · 2 yrs 4 mosStockholm, Sweden

Candidate enrichment

Turn scattered signals into searchable profiles.

Lope pulls in LinkedIn, GitHub, CVs and all available sources. Then enriches every candidate into one complete, searchable profile.

Candidates to Enrich

Michael RossBusiness Development ManagerUber · London, England, United Kingdom

Enrich from LinkedIn

Daniel FosterSenior Backend EngineerGreenhouse · London, United Kingdom

Enrich from Github

Sofia BergstromPrincipal Backend EngineerTeamtailor · Stockholm, Sweden

Enrich from all sources

Interviews

Keep interview context with the candidate, not in someone's notes.

Lope's meeting workflow captures conversations, transcripts, and takeaways where the team can reuse them during evaluation.

Priya NairSenior Product Designer · 33 min · transcript ready

Ask anything about this interview…

How does Priya approach design systems at Figma?

Lope

She consolidated fragmented UI patterns into one token-based library, cutting design-to-dev handoff time while keeping accessibility built in.

07:3215:10

Any signal on how she runs user research?

Lope

Runs lightweight weekly usability tests and feeds the findings straight into prototypes before engineering picks them up.

21:48

Candidate tracking

Know when the person worth revisiting has moved.

Track candidates you care about and surface meaningful profile changes when timing suddenly gets interesting again.

Candidate update

James OkonkwoSenior ML Engineer

London, United Kingdom

Senior ML EngineerWorkable

Imperial College LondonM.Eng. Computing

Lope

Recruiter alert

James Okonkwo changed roles

Now Staff ML Engineer. Matches your open leadership brief.

Add to shortlist

Chrome extension

Capture promising LinkedIn profiles before the tab disappears.

The extension lets sourcing flow from browsing into Lope with less copy-paste and less tab archaeology.

Sofia Bergstrom

Principal Backend Engineer

Teamtailor

Stockholm, Swedensofia.bergstrom@example.com

Candidate sheet

Give every candidate one place for evidence, context, and next steps.

Open a profile and see the CV, interview notes, links, source history, and pipeline context without hunting through tabs.

James Okonkwo

Senior ML Engineer

GeneralExperienceEducationTechnicalSkillsCVNotesTracking

Experiences

TOTAL EXPERIENCE9 yrs 7 mos

AVERAGE TENURE4 yrs 10 mos

CURRENT TENURE4 yrs 3 mos

Workable7 yrs 3 mos

Senior ML EngineerMar 2022 – Present · 4 yrs 3 mosLondon, United Kingdom

ML EngineerApr 2019 – Mar 2022 · 3 yrs 0 mosLondon, United Kingdom

Teamtailor2 yrs 4 mos

ML EngineerDec 2016 – Mar 2019 · 2 yrs 4 mosStockholm, Sweden

[03]. Lope MCP

Your recruiting data, inside the AI tools your team already uses.

Claude

ChatGPT

Gemini

Codex

Lope MCP

Cursor

Grok

DeepSeek

Antigravity

WORKS ANYWHERE
Any AI, one connection
Install Lope MCP once in Claude, Cursor, ChatGPT, Gemini, or any MCP-capable assistant. Candidates, pipeline, and interview context are available without switching tabs.
OAUTH SECURED
Scoped access, not shared keys
Each connection is a workspace-scoped OAuth grant. Your AI sees only what you approve, with no API keys to copy or rotate.
LIVE PRODUCT API
Real data from your workspace
Candidates, jobs, shortlists, projects, and interview transcripts surface through a single endpoint at mcp.withlope.com. Live data, not a demo dataset.

[04]. Time back

See how many hours AI Scout gives back.

Your current workload

Today: searches × candidates per search × minutes per candidate.

The dollar figure multiplies hours saved by your loaded hourly cost. No claims about win rate, placement velocity, or revenue uplift.

You get back

TodayScreening every candidate by hand38 hrs / mo

With LopeFocused review of ranked candidates19 hrs / mo

19 hrshours back / month

225 hrshours back / year

~ 5.6 recruiter work-weeks reclaimed per year.

$1,125freed up per month at your hourly cost.

Directional estimate. Your recruiters still decide who moves forward.

[05]. FAQs

The honest answersto what every recruiter asks before committing.

Who is Lope built for?

Lope is built for recruiting agencies and talent teams that need faster candidate discovery without throwing away the data they already collected.

Can Lope work with my existing ATS?

What does AI Scout search?

How does candidate enrichment help a recruiter?

What happens to interview notes and transcripts?

How does candidate tracking work?

Can I add candidates while sourcing on LinkedIn?

[06]. Changelog

Every release,one recruiter workflow improved.

Interview bots

Lope joins Google Meet and Teams calls automatically. Shortly after the interview ends, the bot transcribes it so you can ask questions based on the conversation.

MAY 27, 2026

External & mixed search

AI Scout now searches 800M+ LinkedIn profiles. Mixed search ranks external candidates alongside your internal database in a single shortlist.

APR 30, 2026

Candidate tracking

Follow candidates and get notified about company moves, promotions, new skills, certifications, and headline changes — via in-app alerts or daily digests.

MAR 18, 2026

Candidate sheet

One place for every signal: LinkedIn experience, GitHub repositories and commits, CV data with edit capabilities, and interview context — all in a single view.

FEB 10, 2026

Time to ditch every search that starts from scratch.

Book a demo

Candidate search, better than ever.Built to be fastMMMMMMMMM

AI sourcing first.Recruiting context right behind it.

Candidates to Enrich

Turn scattered signals into searchable profiles.

Candidates to Enrich

Keep interview context with the candidate, not in someone's notes.

Know when the person worth revisiting has moved.

Capture promising LinkedIn profiles before the tab disappears.

Sofia Bergstrom

Give every candidate one place for evidence, context, and next steps.

James Okonkwo

Your recruiting data, inside the AI tools your team already uses.

Any AI, one connection

Scoped access, not shared keys

Real data from your workspace

See how many hours AI Scout gives back.

The honest answersto what every recruiter asks before committing.

Every release,one recruiter workflow improved.

Interview bots

External & mixed search

Candidate tracking

Candidate sheet

Time to ditch every search that starts from scratch.

Candidate search, better than ever.Built to be fastMMMMMMMMM

AI sourcing first.Recruiting context right behind it.

Candidates to Enrich

Turn scattered signals into searchable profiles.

Candidates to Enrich

Keep interview context with the candidate, not in someone's notes.

Know when the person worth revisiting has moved.

Capture promising LinkedIn profiles before the tab disappears.

Sofia Bergstrom

Give every candidate one place for evidence, context, and next steps.

James Okonkwo

Your recruiting data, inside the AI tools your team already uses.

Any AI, one connection

Scoped access, not shared keys

Real data from your workspace

See how many hours AI Scout gives back.

The honest answersto what every recruiter asks before committing.

Every release,one recruiter workflow improved.

Interview bots

External & mixed search

Candidate tracking

Candidate sheet

Time to ditch every search that starts from scratch.

Candidate search, better than ever.
Built to be
fastMMMMMMMMM

Candidate search, better than ever.
Built to be
fastMMMMMMMMM