The process at Lantern, what each stage actually tests, and how candidates prep. Real questions where we have them, likely questions where we don't.
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[01] BY THE NUMBERS
Pulled straight from Lantern's career page and public data sources. Linked figures open their source or a fuller breakdown.
Full Lantern company profile[02] INTERVIEW PROCESS
The stages below describe the typical SWE loop. Product, Design, and Data loops differ; pick a role to see how it changes, or jump straight to real questions reported for that role.
Initial call to discuss your background, the role, and logistics.
Coding and/or system design questions relevant to the role.
Questions about your past experiences, teamwork, and problem-solving.
[03] APPLY LOGISTICS
Lantern runs hiring on Greenhouse, so the application form is hosted there. Keep your contact details and work history consistent with your resume.
The leading applicant tracking system for growing companies. Greenhouse powers structured hiring at thousands of organizations, from startups to enterprises.
Scoutify checks Lantern's career page for new roles, so you can have Sniper apply to Lantern's next opening that fits your filters, usually minutes after it goes up on Greenhouse. Sniper sends one application per posting, and the employer's confirmation email for most applications lands in Scoutify Mail.
ATS identified from the application URLs on Lantern's recent postings
[04] PEOPLE ALSO ASK
Scoutify currently lists 5 open roles at Lantern. Follow the job links to check requirements and apply on the employer's career site.
[05] OVERVIEW
Tech company interviews typically include a mix of coding, system design, and behavioral rounds. The exact format varies by company size and role level.
[06] PREP TIPS
[07] PRACTICE
Use the requirements below to choose relevant examples from your work. For each example, explain the problem, your contribution and the result. Ask your recruiter which skills the interview will cover.
Prepare a short walkthrough of a past machine learning project, covering the client problem, the model chosen, and how you moved it to production.
The Data Scientist role requires five or more years of developing data science, machine learning, or AI solutions, preferably in client-facing environments.
Source postingOutline how you would discover a client's data needs and position a Databricks solution in a first meeting.
The Specialist Sales Lead role calls for a consultative seller who grows the Databricks business.
Source postingThe current posting asks for:
Experience managing LinkedIn and paid social campaigns, including account-based targeting and budget management
Experience aligning closely with sales on target accounts, lead handoffs and pipeline goals
Experience with ABM and intent platforms (e.g., 6sense, Demandbase, ZoomInfo, Bombora)
Read the employer’s full posting · Posted 2026-10-22
The current posting asks for:
A minimum of 8+ years of progressive experience in talent acquisition, specializing in attracting technical professionals within the Microsoft technology ecosystem and professional services.
Master Sourcer: A well-established network of technical professionals built on trust, with the ability to effectively expand it using tools like LinkedIn to reach a broader audience.
Autonomous Worker: Ability to work independently with minimal guidance.
Read the employer’s full posting · Posted 2026-10-08
The current posting asks for:
7+ years of experience selling technology consulting, professional services, data and analytics solutions, or cloud transformation programs to enterprise clients.
Read the employer’s full posting · Posted 2026-10-05
Sources reviewed 2026-10-19.
[08] FAQ
These answers draw on current listings and the available sources for Lantern.
Scoutify currently lists 5 open roles at Lantern. Follow the job links to check requirements and apply on the employer's career site.
[09] MORE INTERVIEW PREP
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