Monte Carlo

Monte Carlo
Last updated:
February 2, 2026
Company details
HQ
HEADCOUNT
100-499
ORG TYPE
Startup
SECTOR
Technology & Digital
About the company
Monte Carlo sells a Data and AI observability platform used by data teams to spot, triage, and fix data issues. The company positions the product as “data reliability” infrastructure for enterprises that depend on analytics and AI. Public company profiles describe Monte Carlo as founded in 2019 and headquartered in San Francisco. Hiring is spread across product, engineering, go-to-market, and customer-facing technical roles, with many roles open to remote candidates.
Locations and presence
Monte Carlo describes a remote-first setup with team members distributed globally and a travel policy for in-person collaboration. Public company profiles also list a San Francisco office address as a location anchor.
Palpable Score
63.9
/ 100
Monte Carlo offers some legitimate early-career entry points, especially in go-to-market and “adjacent-to-product” roles that accept 1–3 years of experience, and the company often posts pay ranges and benefits. The ceiling on the score comes from limited public evidence of internships or true new-grad pipelines, plus mixed candidate experience signals around long interview loops and take-home work.
Pillar 1: Early-career access

Score

12.9
/ 20
  • The company advertises roles that explicitly accept early experience bands like 1–3 years, including a Product Manager role and a Data Analyst role.
  • Monte Carlo lists a Strategic Sales Development Representative role with 1–2+ years of experience, plus other early-career-friendly SDR hiring in London that is tagged as 0–2 years on at least one public aggregator.
  • The company has limited visible evidence of internships, apprenticeships, or dedicated new-grad hiring pages, which caps entry-level access outside “1–3 years” hiring.
Pillar 2: Hiring fairness and transparency

Score

11.0
/ 20
  • The company publishes salary ranges and benefit line-items in multiple public job postings, which reduces ambiguity before interviews start.
  • Monte Carlo has public interview feedback describing a long sequence that can include multiple technical rounds plus a multi-hour take-home assignment, which is a heavy burden for early-career applicants.
  • The company has interview feedback that ranges from very positive to poor, and the company does not publish a clear candidate-facing “how we hire” page that spells out steps, timelines, and what is assessed at each stage.
Pillar 3: Learning and support

Score

12.1
/ 20
  • The company has a dedicated Sales Enablement Onboarding Manager role focused on building structured onboarding and ramp for new sales hires, which is a concrete learning investment for junior sellers.
  • Monte Carlo’s early-career Product Manager posting explicitly frames growth through working with senior PMs and engineers to develop product craft, which is a direct coaching signal inside the job description.
  • The company does not publish a public onboarding guide, mentorship program description, or learning framework for engineers, analysts, or customer-facing technical hires, so support signals rely on scattered role-level language.
Pillar 4: Pay fairness and stability

Score

15.0
/ 20
  • The company posts compensation ranges for multiple roles and often pairs them with equity language, plus practical benefits like a 401(k), healthcare plans, flexible time off, and parental leave.
  • Monte Carlo includes remote-work support benefits in at least one job posting, including a home office stipend and reimbursement for phone or Wi-Fi, which supports early-career stability in remote setups.
  • The company has inconsistent salary ranges across third-party repostings of the same role title, which makes pay transparency harder to trust unless candidates reach the official posting.
Pillar 5: Early-career outcomes

Score

12.9
/ 20
  • The company has a small but strongly positive employee-review snapshot, including high work-life balance and career-opportunity ratings, which is a good sign for early-career retention risk.
  • Monte Carlo appears on external “best workplace” style lists in recent years, which supports a generally positive employee experience, but these awards do not break out early-career outcomes.
  • The company’s public footprint does not provide clear early-career outcome proof such as internship conversion rates, promotion timelines for junior hires, or retention by tenure band, and that missing data caps this pillar.
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