Work management SaaS · Productivity platform· Tel Aviv (Aluf Kalman Magen)·~2,500 globally · majority in Israel
monday.com is the rare Israeli SaaS company that reverse-dogfoods its own product on the hiring side: postings live on Comeet (which monday acquired and integrated), and the CV parsing therefore behaves exactly like the Comeet ATS that ships to monday's customers. Junior engineering and product cohorts are heavy in Tel Aviv R&D, where senior engineers conduct most rounds and reviewers reward articulating user-facing impact over raw algorithmic speed.
Open early-career SWE roles in monday.com's R&D, mostly full-time, building product features end-to-end (UI to database) on monday's main platform plus the newer CRM and Dev products. Hiring runs continuously off the Comeet board rather than as a fixed cohort.
Eligibility
BSc CS or equivalent self-taught/bootcamp portfolio. Preference for candidates with shipped product work — even side projects with real users. English required, Hebrew helpful.
Schedule
Full-time · hybrid (specific days set per team) · Tel Aviv office central to scheduling.
monday.com's early-career intake is dominantly Tel Aviv–based. CS students from Tel Aviv University, IDC, the Technion, and Bar-Ilan dominate the engineering cohorts, alongside bootcamp graduates whose CVs lead with shipped projects. Product-side, monday hires generalists with technical fluency over PMs with deep MBA frameworks — "can you reason about user impact" beats "can you build a 12-month roadmap". The post-2025 AI Engineering team has expanded fast and now actively pulls candidates with LLM-tooling experience from any background. English fluency is non-negotiable; Hebrew helps with team rituals but isn't a screening filter.
The process
Pipeline runs through Comeet — monday's own product, which the recruiting team uses as the canonical CV ingestion pathway. After CV screen (typically 5–10 days at monday's hiring volume), candidates hit a take-home or live coding screen depending on team. The tech panel is unusual: senior engineers conduct most rounds, the bar emphasizes clean abstractions and articulating user-facing impact over algorithmic speed. Leetcode-grinding alone tends to underperform here. A culture round with a manager and an additional cross-functional conversation close the loop. Total time from application to offer is typically 3–5 weeks. The Comeet ATS surfaces the candidate's profile to multiple teams simultaneously when a role match is detected — applying to one role can route to two or three nearby openings, which is unusual for an Israeli SaaS company.
monday.com CV — what to include
Lead the CV with a project that ships to real users, even small. monday's senior reviewers reward shipped impact more than coursework grades.
TypeScript / React / Node on the CV is canonical. monday's frontend is heavily TS, and CVs without any JS-side experience get filtered slower.
If you've built anything with monday.com itself (apps, integrations, automations), say so — it's a meaningful tiebreaker that almost no candidates think to mention.
AI / LLM exposure is now a hiring signal, not just a nice-to-have. The post-2025 AI Engineering team explicitly looks for candidates with LangChain, LlamaIndex, or any agent-tooling experience.
For PM roles, replace MBA-framework language ("strategic alignment", "roadmap prioritization") with concrete user-research artifacts you've produced. monday's PM bar is empirical, not theoretical.
Highlight cross-functional collaboration. monday's culture explicitly values "can you work with design + engineering + data" over deep-vertical expertise.
Common mistakes that get you filtered
Listing many languages without depth. monday's panels press hard on one language; CV breadth without a deep example reads as shallow.
Hebrew-only CV. monday's product is global and English-first; Hebrew-only CVs route through a slower secondary track.
PM CV that reads like a McKinsey case template. monday's PM hiring is dominated by ex-engineers and ex-designers — frameworks-heavy framing reads as off-fit.
Generic "interested in monday because of its growth" framing. The recruiters explicitly look for candidates who can name a specific monday product or feature they've used.
Over-relying on Leetcode prep. The tech round emphasizes clean code and impact-articulation; algorithmic speed alone underdelivers.
Insights that aren't on the company's careers page
monday.com's recruiting runs on Comeet — the same product monday integrated after acquiring it. This means CV-parsing behavior is identical to the customer-facing Comeet ATS, which is observable, predictable, and lets candidates tune their CV to known parser quirks.
Glassdoor employees in Tel Aviv rate monday.com 4.4/5 (350+ reviews), with 91% recommending the company to a friend — meaningfully above monday's global rating of 78%. The Israeli office culture is materially different from the US satellite culture.
The post-2025 AI Engineering team has been one of monday's fastest-growing groups, pulling juniors with LLM tooling background from outside the SaaS-engineering tradition. This is one of the few Israeli SaaS companies with a published "AI Engineering" track for early-career candidates.
Senior engineers conduct most technical rounds, not standardized interviewers. The bar emphasizes "can you reason about user-facing impact" over algorithm grinding — a meaningful filter that rewards practical product builders over Leetcode-trained candidates.
Glassdoor reviews repeatedly flag intense pace and "no work/life balance" alongside the high culture rating. Candidates who push for explicit office-hours commitments at offer stage tend to underperform negotiations vs candidates who lead with project ambition.
monday hires generalists for PM rather than specialists — strong technical fluency + cross-functional collaboration beat MBA-style framework expertise. Candidates with engineering or design backgrounds outperform pure-PM-track candidates at offer rate.
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