Working at Ashby: Culture, Pace and Who Thrives

The Rhythm of a Distributed Team

In mid-2025, Ashby began using its own AI Interviewer in its hiring pipeline. Thirty-six percent of candidates chose the structured, asynchronous screen over a live recruiter call; three people received offers through that path. The company builds recruiting software — an ATS, scheduling, analytics, and now AI interviewing — and runs its own hiring on that stack. The product choices Ashby makes, and the discipline with which it adopts those tools internally, reveal what the hiring bar actually filters for.

Ashby has been remote-first since its founding in 2018. Headquartered in San Francisco but unbound by it, the company spans U.S., Canadian, Latin American, and European time zones with roughly 110 employees. Nearly every role is structured as remote or hybrid by design. Active postings show Staff Product Engineers, Design Engineers, and Engineering Managers across the Americas (U.S., Canada, Mexico, Brazil) and the EU (Germany, Belgium, France, Netherlands, Spain, Italy, Finland, Sweden, Switzerland, Portugal, Norway, Poland, Denmark, Croatia, Romania).

That geographic spread dictates how decisions move. Synchronous meetings cluster in a narrow overlap window, roughly 8 a.m.–11 a.m. Pacific, which lands at 4 p.m.–7 p.m. Central European Time. Outside that window, work advances asynchronously. The engineering blog describes the default as asynchronous-first. Product cycles follow a cadence with dedicated periods for bug fixes and tech debt. Engineers own features end-to-end: design, implementation, rollout, post-launch iteration.

Decision-making authority sits close to the work. Staff engineers and engineering managers set technical direction within their domains; product managers define scope and priority. Major cross-cutting changes run through a review process anyone can comment on, but the final call rests with the team that will maintain the code. This mirrors the hiring signal: the board lists Staff and Manager roles with broad scope ("breadth across stack," "product ownership") rather than narrow specialization.

Pace is deliberate. Glassdoor shows 4.7 out of 5 across 17 reviews, with 4.8 for work-life balance. RepVue rates the company 90.71, 4.1 overall. The platform's 99.9% uptime reflects investment in observability and graceful degradation.

The remote-first structure also shapes hiring. Live roles require candidates to work from specific country lists — not "anywhere" — because employment law, tax, and compliance boundaries are real. A Design Engineer in Brazil earns the same band as one in Canada; a Staff Platform Engineer in Poland matches the German range. This parity is intentional: compensation bands are indexed to role and level, not geography, with cost-of-living adjustments only where local minimums exceed the band floor.

What emerges is a company that baked distributed work into its architecture, not as a pandemic accommodation but as a founding constraint. The rhythm favors written clarity over verbal speed, ownership over handoffs, and a cadence that survives time-zone friction because it was built for it.

Principles Visible from the Outside

Ashby has published its operating principles. In a February 2023 blog post, co-founder and CEO Benjamin Encz wrote that when the team first met, they codified the attributes they value most in those they hire and the operating principles that guide their work. The job postings themselves do not surface a values statement or operating manifesto. What can be documented comes from observable structure: a remote-first organization of approximately 110 people, founded in 2018 and headquartered in San Francisco, with employees distributed across 15 European countries plus the U.S., Canada, Mexico, and Brazil.

That distribution is itself an operating principle. The salary bands reflect the choice: separate ranges for Americas and EU roles, denominated in local currencies, with EU bands notably lower than their U.S. counterparts even at the staff level.

The hiring pattern suggests a principle of role parity across geographies. The same titles, Staff Product Engineer and Design Engineer, appear in both regions with comparable seniority expectations. Staff Platform Engineer roles appear in the EU postings. Zero G Talent's job board shows 14 salaried roles posted with a median band of $266,000 and a spread of $114,000–$303,000, indicating the company recruits for a range of experience levels but anchors its most visible hiring at the staff-and-above tier.

The operating logic reads from the constraints the company has accepted. Remote-first across that many time zones forces asynchronous communication by default; it requires written decision-making, deliberate overlap windows, and tooling that does not assume co-location. The salary transparency in public postings, with bands listed per role and per region, is itself a signal, whether intended as principle or compliance. It puts compensation structure in the open before a candidate applies.

The research gap is real. What remains is a company that has scaled to ~110 people while staying remote-first, that publishes pay bands by region, and that hires the same senior titles on both sides of the Atlantic. Those choices are the principles visible from the outside.

What the Hiring Bar Actually Filters For

The clearest indicator is the AI Interviewer, which Ashby began using in its own pipeline in mid-2025 before rolling it to customers via the Talent Llama acquisition. The feature runs structured, conversational screens inside the ATS, produces full transcripts, and maps answers to evaluation criteria that hiring teams define in advance. Ashby's own recruiters use it to give candidates they might have rejected a second chance to show strength. The bar, in practice, rewards candidates who can perform in a structured, asynchronous format without a human prompting them, and it rewards recruiters who design criteria precise enough for an LLM to score reliably.

That design philosophy (transparency, human oversight, clear criteria) repeats across Ashby's hiring tooling. The WhatsApp integration shipped in September 2026 exists because candidates in Europe reply faster on WhatsApp than on email; the product meets them where they are. As Abbye Eva, Knowledge Manager at Ashby, said at Ashby One London: "We launched texting a while back, and WhatsApp gives teams another way to have high-touch conversations with candidates throughout the process, using the channel many candidates already use every day." The feature supports "moments where a short, timely message can make the process feel more personal: confirming an interview, answering a question, sharing an update, or staying connected between stages."

Internally, the same logic applies: the team values judgment about when to automate and when to show up. Benji Encz, CEO and co-founder, framed the AI Interviewer launch as part of a broader focus on where human connection still matters most in hiring: "We've talked a lot about where AI can take on more of the workflow. But a big part of the job is still selling candidates and getting them excited to join your team, and that means meeting them where they already are." The hiring bar selects for people who can make that distinction without a playbook.

Candidates who need loose, conversational interviews to shine will find the process rigid; candidates who perform better when the rubric is visible and the transcript is reviewable will find it fair.

Remote-first geometry shapes the bar too. With roughly 110 people spread across US, Canadian, and European time zones — and roles posted from San Francisco to Berlin to São Paulo — the daily rhythm is asynchronous by default. Those bands assume the hire can ship without a stand-up, write decisions down so the next shift can read them, and collaborate across a six-to-nine-hour offset. The hiring bar filters for communication that survives time-zone lag: clear writing, explicit context, and the discipline to unblock oneself.

Referral weight is visible in customer storytelling. Founders of companies using Ashby have noted that cold DMs can be a effective hiring channel and that a trusted voucher carries mutual accountability. Phia co-founders Sophia Kianni and Phoebe Gates, who post openings via Ashby, said "a lot of our hires have come from good old-fashioned cold DMs" and that a referral "often is the easiest way to have a very quick hiring process." DeepL's Head of Global Talent Acquisition Amanda Johnson noted their inbound doubled since 2024, driven partly by AI-company buzz, but the network path remains a fast signal.

Finally, the company's product roadmap signals what it expects from its own engineers and designers: they must build tools that recruiters trust. Only 21 percent of recruiters surveyed industry-wide say they are "very confident" their systems aren't weeding out qualified candidates; 46 percent of candidates say their faith in hiring has decreased. Ashby's response — structured transcripts, human-in-the-loop defaults, WhatsApp reach, AI screens that expand the funnel rather than narrow it — is a bet that trust is a feature. It also selects for those who treat trust as an engineering requirement, not a marketing claim.

Who Thrives, Who Burns Out

Ashby's operating model, fully asynchronous and remote-first across those time zones, with a headcount between the ~110 figure in its own board data and the 230 employees BuiltIn reported as of April 2026, creates specific selection pressures. The company hires into a structure where most collaboration happens in writing, where synchronous overlap is limited to a few hours a day, and where in-person contact concentrates into scheduled gatherings per year: an all-company offsite (Cancun in 2023 and 2024, Playa in 2025), all-hands meetings, and a revenue kickoff.

The async requirement is not optional. With engineers, product managers, and designers distributed across those regions, the default mode is written updates and threaded reviews that advance while half the team sleeps. A Staff Product Engineer is expected to drive technical direction without daily standups or shoulder-taps. The same holds for Design Engineers and Engineering Managers. People who need frequent verbal alignment, or who default to scheduling a meeting when a decision stalls, create drag. People who write clear, decision-oriented updates and who can unblock themselves by reading context others have already documented move faster.

Time-zone discipline is the hidden filter. The company's published locations span US, Canada, Mexico, Brazil, and a dozen European countries. That means a typical "core hours" window is roughly 13:00–17:00 UTC, four hours where most of the Americas and Europe overlap. Candidates who live outside that band can make it work, but only if they protect that window ruthlessly and don't expect real-time collaboration outside it. The burnout pattern shows up when someone tries to be available across 12 hours of time zones. The ones who last set a hard boundary and treat async as the primary interface.

The in-person rhythm matters more than it looks on paper. All-hands meetings and one offsite per year means the average employee sees teammates in person roughly once per quarter. For relationship-heavy roles such as sales, customer success, and product partnerships, that cadence is thin. The revenue kickoff adds a touchpoint for go-to-market teams, but it's still a handful of days per year. People who build trust through hallway conversations, whiteboard sessions, or shared meals find the gap hard to bridge. People who build trust through consistent written follow-through, public credit, and reliable delivery find the offsites amplifying rather than substituting for their daily mode. The RepVue score of 90.71 and 4.1/5 overall rating suggest the model works for a meaningful cohort, but the Glassdoor sample is small (17 reviews) and the single quoted review is uniformly positive, which limits the ability to surface consistent criticism.

Sales quotas offer a concrete proxy for performance expectations. VP of Sales Mike Clapson said the target is "roughly two-thirds of AEs at or above quota," with quarterly re-evaluation that adjusts down as well as up. That signals a culture that calibrates aggressively: quotas aren't set once and forgotten. AEs who thrive treat the quarterly reset as a feature: they forecast honestly, flag risk early, and use the adjustment mechanism rather than gaming the number. AEs who burn out treat quota as a binary pass/fail, hide pipeline weakness until the last week, and then scramble.

Compensation bands reinforce the seniority skew. The board's live data shows a median of $266k across 14 salaried roles, with Staff and Manager titles at the top. There are few junior listings. That means the onboarding assumption is high autonomy: you're hired to own a domain, not to be mentored through tickets. Candidates early in their career who need structured ramp, daily pairing, or a manager who assigns work will find the environment sparse. Candidates who have already led projects end-to-end, written their own specs, and operated without a safety net will find the freedom to move fast.

The Talent Llama acquisition (May 2026) adds an AI-interviewing layer to the product, which hints at where the next hiring bar may rise: fluency with AI-augmented workflows, not just as users but as builders. The keynote from Ashby One 2026 highlighted People Workflows and AI capabilities as strategic pillars. People who treat AI tooling as a curiosity will fall behind; people who integrate it into their daily loop (drafting specs, reviewing code, summarizing threads) will compound their leverage.

In short: Ashby selects for high-autonomy, writing-first operators who can sustain output across time-zone boundaries with minimal synchronous guardrails, who build trust through documented follow-through rather than presence, and who treat quarterly calibration (quotas, roadmaps, headcount) as a normal operating rhythm. It filters out people who need daily verbal sync, physical proximity for relationship maintenance, structured junior ramp, or a static target they can optimize against once. The burnout vector is almost always the same: trying to simulate a co-located workflow inside an async architecture. The thriving vector is the inverse: designing your personal system around the architecture instead of fighting it.

What Employees Say — and What They Don't

Glassdoor shows Ashby at 4.7 out of 5 stars across 17 reviews, a score well above the typical SaaS benchmark. The single quoted review reads like a leadership testimonial: "Ashby has been an incredible place to work. Leadership truly invests in its employees, and my manager and teammates have been supportive, approachable, and committed to helping the team succeed. The work is engaging, the culture is collaborative, and there's a genuine focus on employee growth." That review is undated on the public page, so its recency is unclear, but the aggregate rating has held at 4.7.

A different entity, Ashby Staffing, a traditional staffing agency, appears on Indeed with a 3.9 rating from 7 reviews (updated June 25, 2026). The detailed breakdown shows work-life balance at 4.5, pay and benefits at 3.5, job security and advancement at 3.3, management at 3.8, and culture at 3.8. Those reviews span 2014 to 2026 and describe a very different operation: "This was an okay place to work but highly disorganized and poor management. The individual contributors were great, but the leadership team was terrible," wrote one reviewer in 2026. Another from 2018 called the screening process "very loose; it was like they just wanted to get warm bodies in regardless of experience." Positive reviews from 2014–2017 praise the team's personability and long-term relationships with a general manager named Trisha Atwater. None of these reviews describe the remote-first, 110-person recruiting-software company headquartered in San Francisco; they describe a staffing firm that places workers in short-term office assignments.

The confusion between the two Ashbys matters for candidates. The Glassdoor profile, with 4.7 stars, 17 reviews, and language about "leadership," "managers," "teammates," and "employee growth," aligns with the Ashby that posts Staff Product Engineer roles at $190k–$275k and Design Engineer roles at $153k–$275k on this board. The Indeed profile, with 3.9 stars, 7 reviews, and language about "assignments," "screening process," and "summer jobs," aligns with a staffing agency. They are not the same employer.

No other public employee-account sources for the recruiting-software Ashby appear in the research. As noted earlier, the Glassdoor sample is small (17 reviews) with a uniformly positive quoted review, limiting consistent criticism. Candidates should treat the 4.7 as a directional signal, not a definitive verdict, and ask directly about the pain points that don't show up in a 17-review sample: on-call expectations, cross-time-zone collaboration friction, promotion clarity at 110 people, and how the company handles the inevitable growing pains of a remote-first team.

The Async Architecture Wins

The AI Interviewer that 36 percent of candidates chose over a human call — the same tool that produced three hires, runs on the same async logic that governs Ashby's engineering cycles, its review process, and its overlap window. The company did not adopt async because it was trendy; it founded the company on it. Every hiring signal, every compensation band, every product decision since 2018 has reinforced that architecture. The candidates who opt into the AI screen are signaling they can work the way Ashby works: on their own timeline, against a visible rubric, with a transcript anyone can audit. The ones who decline are signaling they can't. The filter was built into the product before the product existed.

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