OpenAI

What OpenAI does

OpenAI is the frontier lab behind ChatGPT and the GPT model family, and by 2026 it operates far more like a hard-charging product company than a research shop. It reached a $852 billion post-money valuation on March 31, 2026 after closing a $122 billion round, up from a $730 billion valuation just weeks earlier. Revenue is at real scale, and its inference costs alone were estimated at roughly $8.4B in 2025, projected to climb toward $14.1B in 2026. Headcount grew from about 770 in late 2023 to roughly 7,850 by the end of 2025. For an engineer, the practical meaning is that the model, the product surface, and the serving infrastructure are the business itself, not a support function. Shipping velocity is treated as existential, and almost everything an engineer touches sits on the critical path to the most-used AI product in the world.

What it is like to work at OpenAI

The pace is famously intense. Business Insider reported in February 2026 that two AI researchers described 996 schedules — roughly 9am to 9pm, six days a week — as gaining traction and warned they "can lead to burnout," and PCMag noted the same trend at startups like OpenAI. Glassdoor lands around 4.1/5 overall across roughly 100 reviews but only 3.2/5 for work-life balance and 3.7/5 for culture and values. Indeed reviewers repeatedly flag that it is "great if you're independent, but an extreme lack of communication and oversight makes it hard to prosper." The recurring theme is that compensation and mission rate highly, but coordination and intensity wear people down. The upside is proximity to a product used by hundreds of millions and comp to match; the cost is a schedule many sustain for only 18 to 24 months.

What OpenAI pays

OpenAI sits at the top of the market for AI-engineering compensation, and reviewers consistently cite pay and mission as the two things that rate highest even when work-life balance rates lowest. The structure is heavily equity-weighted: the large private valuation — $852 billion post-money as of March 2026 after a $122 billion raise — means grants carry significant paper upside tied directly to the company's continued ascent. Following the post-2024 restructuring, ownership is split with Microsoft holding roughly 27%, the OpenAI Foundation holding about 26%, and employees plus investors owning the remaining 47%, so staff equity is a material slice of the cap table. The practical trade-off is real: the equity grant is the reason many engineers absorb 80-hour weeks during crunch. Candidates should weigh the paper value carefully against the lifestyle cost, since the intensity is what many people leave for within two years.

How hiring works at OpenAI

OpenAI's official interview guide explains that formats vary by team and may include pair-coding interviews, take-home projects, and technical tests. The igotanoffer breakdown outlines a six-step process: a recruiter screen, a take-home or pair-coding round, technical screens, multiple onsite loops, and a final values-focused round. A first-person report on Reddit described "eight rounds total" running approximately 10 weeks from first contact to final decision, so candidates should plan for a long cycle. Harvard's careers office published prep guidance in April 2025, underscoring how much demand the process attracts. The bar emphasizes both raw engineering strength and mission alignment, and the multiple values rounds are not a formality — they are used to filter for people who genuinely buy the AGI mission and can self-direct without heavy structure.

Growth & trajectory

OpenAI's trajectory is close to vertical. It grew from roughly 770 employees in late 2023 to about 7,850 by the end of 2025 — a nearly 10x expansion in under three years — and it is hiring aggressively rather than freezing. On the capital side it raised $110 billion at a $730 billion valuation in early February 2026, then closed $122 billion at an $852 billion post-money valuation on March 31, 2026. Revenue is at scale, though so are costs: inference alone was estimated near $8.4B in 2025, rising toward $14.1B in 2026. The company now sits at or above the valuation of the public-market AI plays, a recent inversion of the historical pecking order. For an engineer, this means near-limitless resourcing for compute and headcount, but also relentless pressure to convert that capital into shipped product.

Risks to know

Leadership churn is the standout risk. Three top executives departed on a single day, April 17, 2026, shortly after product and business chief Fidji Simo took medical leave. That followed the earlier 2024 exodus — Mira Murati, Ilya Sutskever and others left in the wake of the November 2023 board crisis and Sam Altman's reinstatement. A Harvard career advisor described a "very real employee retention crisis" in early 2025, and reviewers repeatedly cite an "extreme lack of communication and oversight" that rewards self-directed people and punishes those who need structure. The post-2024 corporate restructuring, with Microsoft at ~27% and the Foundation at ~26%, is still relatively new and its governance is unproven. The intensity that drives shipping velocity is the same force behind 18-to-24-month tenures, so candidates should treat burnout risk as a documented factor rather than a rumor.

Who thrives at OpenAI (and who should not)

Thrives: mission-driven AGI believers, engineers willing to absorb 80-hour weeks during crunch, senior ICs who can self-direct with minimal coordination, and people who want maximum equity upside and proximity to the most-used AI product in the world. The environment rewards people who create their own structure and treat ambiguity as opportunity rather than obstacle. Should not join: parents of young children or anyone with non-negotiable work-life-balance needs — a widely-read Reddit thread from someone weighing an offer "in mid-30s with two small kids" captures the tension well. Also a poor fit are engineers who need documented processes and ample coordination, and anyone who prefers a research-only environment over constant shipping pressure. The honest summary is that OpenAI offers the highest ceiling in the industry paired with one of its most demanding floors, and the two are inseparable.

Roles OpenAI is hiring for

The roles OpenAI is most actively hiring right now in our index, with a live count and the salary guide for each:

The full board of open roles — with comp and location on every posting — is at the top of this page.

The signals behind this page

The hiring picture here is read from 503 live OpenAI postings in our index (refreshed weekly); 100% are remote-friendly, and in a recent sample 17 disclose a pay-transparency band. The culture, growth, and interview detail above is researched and cited; the open-roles board is live from our jobs index.

Sources

• Forbes — OpenAI valued at $852B after funding round (Mar 31, 2026)
• Business Insider — 996 culture and AI burnout (Feb 8, 2026)
• OpenAI — raises $122B to accelerate next phase (Mar 31, 2026)
• OpenAI interview guide
• igotanoffer — OpenAI interview process (6 steps)
• Glassdoor — OpenAI reviews
• Gorick Ng — OpenAI retention problem (Jan 2025)
• Business Insider — OpenAI executive departures (Apr 17, 2026)
• Wikipedia — OpenAI (structure, ownership)