Two Hiring Tracks, One Company
Kastle, the 1972-founded access-control company that tracks 1 million daily badge swipes across 1,000+ buildings, now lists a Staff AI Engineer role at $250,000–$350,000 in San Francisco, the Ashby board shows.
The job board splits cleanly in two. One track runs through the original footprint — project managers in Fremont, field technicians in Philadelphia and Ann Arbor, warehouse coordinators in Sterling, customer success in Falls Church, a VP of national installation overseeing multiple sites. These 124 open requisitions on careers.kastle.com, according to careers.kastle.com, keep the "security as a service" model operating nationwide.
The other track clusters in San Francisco. Kastle Jobs reported thirteen roles on the Ashby board, all posted recently, concentrate in five functions: engineering, product, operations, revenue, and internships. Engineering carries three slots — a forward deployed engineer at $170,000–$250,000, a staff engineer at $250,000–$320,000, and a staff AI engineer at $250,000–$350,000, all on-site with equity. Product holds four: an agent product manager ($150,000–$220,000), an AI deployments lead ($200,000–$250,000), a senior product manager ($200,000–$250,000), and a mortgage originations process specialist (band unlisted). Operations lists a founder's office role ($150,000–$210,000) and a part-time remote AI trainer at $30 an hour. Revenue seeks an enterprise account executive and a head of sales, bands undisclosed. Two internships round out the board, a founder intern and a software engineer intern, both on-site in San Francisco.
The split reflects a company running its legacy service business while building a new product layer on top. The San Francisco roles signal an AI-native direction: "agent product manager," "AI deployments lead," "staff AI engineer," "AI trainer." The forward deployed engineer role suggests the product ships into real environments. The founder's office and founder intern roles imply direct exposure to leadership, a hallmark of small teams moving fast.
The careers page emphasizes a "team atmosphere that encourages collaboration" and a 2021 DEI culture excellence award.
Cash, Equity, and the Gaps Between
Kastle's compensation reflects a small, high-impact team in a physical-security technology space. The company's own board lists six San Francisco roles with published bands; the aggregate range spans $93,000 to $323,000 with a median of $235,000 across ten salaried positions. That spread is wide because the roles span individual-contributor engineering, product, and forward-deployed work, each with different leverage on the product and the customer.
| Role | Location | Salary Band (USD/year) |
|---|---|---|
| Staff AI Engineer | San Francisco | 250,000 – 350,000 |
| Staff Engineer | San Francisco | 250,000 – 320,000 |
| Senior Product Manager | San Francisco | 200,000 – 250,000 |
| AI Deployments Lead | San Francisco | 200,000 – 250,000 |
| Forward Deployed Engineer | San Francisco | 170,000 – 250,000 |
| Agent Product Manager | San Francisco | 150,000 – 220,000 |
The top of the band sits at $350,000 for a Staff AI Engineer — a role blending model development, systems integration, and customer-facing deployment. Staff Engineer runs close behind at $320,000. Both bands start at $250,000, signaling Kastle expects senior technical hires to operate with minimal oversight from day one. Product roles sit in a narrower $150,000–$250,000 corridor, with the Senior Product Manager and the AI Deployments Lead sharing that band. The Forward Deployed Engineer and Agent Product Manager roles start lower, at $170,000 and $150,000 respectively, but their ceilings reach $250,000 and $220,000 — room for growth without a title change.
Third-party aggregators show broader ranges. Glassdoor reports 302 salaries across 130 job titles for 2026; Salary.com publishes average pay by title compared to U.S. benchmarks. Those sources capture the full organization, including installation, service, corporate, and client services, not just the technology roles Kastle advertises on the Zero G Talent board. The board data is narrower but current; the aggregators are wider but lag. Treat the table above as the floor for roles Kastle actively recruits today.
Equity appears in public postings, most Ashby listings note "Offers Equity", but the careers site does not detail stock grants, RSUs, or option pools. Levels.fyi's generic negotiation guide for Kastle Systems mentions "stock and bonuses" as part of the total package, but no first-party source confirms structure, vesting schedule, or eligibility. Candidates should ask directly during the offer stage.
Benefits are extensive and documented. Regular associates working 30-plus hours per week receive medical, dental, and vision insurance with three medical plan options. Life, accidental death and dismemberment, and disability coverage are automatic at the same threshold. A 401(k) plan is available to eligible employees. Paid time off includes holidays, vacation, sick leave, and a separate bucket for volunteer community service.
Kastle funds a personal coaching program through Aduro, mental health coaching, stress-relief toolkits, mini-courses, and wellbeing activities at no cost. Backup family care via Bright Horizons offers discounted services and low co-pay backup care. An employee assistance program covers mental health, financial, and legal concerns 24/7.
Perks round out the package: virtual cooking classes with professional chefs, wellness challenges with prize points, and discount programs through Working Advantage, Plum Benefits, mobile carriers, and 24 Hour Fitness. The Kastle C.A.R.E.S. program coordinates giving to JDRF, So Others Might Eat, Toys for Tots, The Children's Inn at NIH, ALS, Higher Achievement, American Red Cross blood drives, Wounded Warriors, and other causes. The company earned Corporate Philanthropy List recognition from the Washington Business Journal in 2018 and 2019, plus the 2021 Culture Excellence award for DE&I practices.
The total picture: cash compensation that competes for senior technical talent in San Francisco, a benefits suite covering health, retirement, development, and wellbeing comprehensively, and an equity structure candidates need to resolve in conversation.
Inside the Interview Loop
Kastle's interview process reflects its identity as a small, high-velocity team — but the public record shows two distinct hiring patterns candidates need to disentangle. The first-party board lists those six San Francisco roles with bands from $150,000 to $350,000, all posted recently. Meanwhile Migrate Mate tracked 92 open roles as of September 2026 concentrated in customer service and non-software engineering with ceilings near $175,000, and EngRadar counted 13 live postings with a net gain of two over 28 days. Glassdoor reviews for "Kastle Systems" describe experiences that "vary widely; some candidates found the process organized and pleasant, while others criticized it for being haphazard and poorly structured, particularly for senior roles." The discrepancy stems from two entities sharing the name: Kastle Systems (founded 1972, Falls Church, electronic security and access control) and a Y Combinator-backed AI startup building "the AI employee for consumer lending" in San Francisco. Candidates should verify which Kastle they're interviewing with before preparing.
Application and Recruiter Screen
The careers portal directs applicants to upload a resume, add a LinkedIn profile, and optionally sign up for job alerts. The YC company's public messaging emphasizes "autonomous AI Agents that process payments, originate loans, and help customers get a world class experience during the biggest financial decisions of their lives," so candidates for AI, product, and forward-deployed roles should expect questions about shipping LLM-backed products in regulated environments. For the security-systems side, the screen leans toward operational readiness: managed security services, access control deployments, and customer-facing reliability. A strong application in either case leads with shipped work, not coursework, and quantifies impact: latency reduced, compliance checks automated, doors secured, tickets resolved.
Competency-Based Interviews
Multiple sources confirm Kastle uses competency-based interviewing. A training video from Amri Celeste, an interview coach, states: "competency-based interview questions specifically assess your ability to do something so competency is almost an overarching phrase that covers the majority of interview questions like some situational and behavioral as well." The same source distinguishes situational questions ("specifically asking about a time when you did something always set in the past") from broader competency probes, and explicitly recommends the STAR method, Situation, Task, Action, Result, as "a framework that you can use to structure your answers while covering all the points that the interviewer is looking for." Candidates who ramble or speak in hypotheticals ("I would…") instead of past evidence ("I did…") tend to stall here. Prepare three to five concrete stories spanning technical depth, cross-functional friction, and a time you chose a boring solution over a clever one.
Technical Assessment
For engineering and AI roles, expect a live coding or system-design session grounded in the company's actual stack. The board's role titles, Staff AI Engineer, Forward Deployed Engineer, AI Deployments Lead, imply production LLM work, not research. Product managers walk through a prior launch end-to-end: discovery, prioritization, trade-offs, and post-launch metrics.
Onsite or Final Panel
The careers site states: "We strive to foster and maintain a welcoming, supportive and inclusive environment where individuals of different background and identities can realize their full potential with the company." Ask each interviewer what "done well" looks like in the first 90 days; the clarity (or vagueness) of their answer is a reliable signal.
Timeline and Disqualifiers
Indeed FAQs for both Kastle entities field the same question: "How long does it take to get an interview after you apply?" — suggesting timeline opacity is common. Disqualifiers reported across sources include inability to articulate a specific technical contribution using STAR, vague answers about regulatory or compliance constraints (critical for both consumer lending AI and physical security), and treating the interview as a one-way evaluation. The company is small enough that every hire changes the bus factor — they're screening for people who reduce it.
Falls Church Runs the Data; San Francisco Builds the Product
Kastle operates from a headquarters in Falls Church, Virginia, at 6402 Arlington Boulevard, with a distributed footprint of 15 to 18 office locations (Craft.co lists 18 for "Kastle Systems" and 15 for "Kastle" as of early 2026). The company's own site cites 1,000-plus buildings under management, 1,000 business customers, and 1 million users and visitors. Those figures describe the scale of its access-control and visitor-management installations, not its own employee headcount. The distinction matters: Kastle's core product is the infrastructure that lets other organizations badge people in, track occupancy, and manage visitors, so its physical sites serve a dual purpose — housing its own teams and showcasing the very systems it sells.
The Falls Church headquarters anchors the East Coast presence. It sits inside the Arlington Boulevard corridor, dense with federal contractors, aligning with the company's longstanding ties to government-sector physical security. The space includes the operations center for monitoring the badge-swipe network that feeds Kastle's widely cited occupancy index, the dataset that showed U.S. office occupancy hovering around half of pre-pandemic levels through most of 2023 and 2024, ticking to 50.5% in October 2024 before seasonal drops. That index is built on swipes across the 10 major markets Kastle tracks, and the Falls Church team maintains the ingestion pipelines, analytics dashboards, and customer-facing reporting that turn raw badge events into benchmark numbers cited by Bisnow, WorkLife, and others.
On the West Coast, the hiring signal points squarely to San Francisco. Every recent role on that board, the same six roles, lists San Francisco as the location. This concentration suggests the product, AI/ML, and forward-deployed engineering teams sit there.
The remaining 13 to 16 locations are not broken out in available data. Given Kastle's business model, selling and supporting physical access hardware and cloud software to corporate offices, healthcare, education, and financial institutions, those sites are likely a mix of regional sales offices, field-engineering depots for hardware staging and installation, and support hubs for the buildings under contract. Corporate offices remain the largest adopter segment for visitor-management software, but healthcare, education, and regulated financial organizations invest just as heavily. That customer geography naturally pulls Kastle's field teams into major metros where those verticals cluster: Washington, D.C. (covered by Falls Church), New York, Chicago, Dallas, Denver, Los Angeles, Seattle, and possibly Atlanta or Boston.
The research does not show a detailed floor-plan breakdown, how many square feet are lab versus office, whether any site includes a hardware integration lab, or what classification clearances the Falls Church facility holds. The first-party board data confirms San Francisco as the center of gravity for software and AI hiring, while the public occupancy index and headquarters address confirm Falls Church as the operational nerve center for the badge-swipe analytics business. Candidates should assume a hybrid expectation tied to the relevant site: product and AI roles in San Francisco, federal-facing operations and data-science work in Falls Church, and field-engineering or sales roles at whichever regional office covers their territory. The company's own tooling, badge tracking, visitor management, occupancy analytics, runs on the same infrastructure it sells, so every Kastle office is also a reference deployment.
The Profile That Lasts
The evidence from Kastle's own record, employee reviews, product feedback, hiring patterns, and market position, points to a specific profile. The company sits at the intersection of legacy physical security (founded 1972) and modern AI-driven access management, with a small team pushing into a market projected to grow from $1.8 billion to $6.9 billion by 2036. That tension shapes who lasts.
People who thrive here treat ambiguity as operating conditions, not a bug. Indeed reviews spanning 2019 to 2026 consistently describe an environment where "management's response is essentially 'deal with it yourself'" and "there is little to no support from other departments when problems arise." A 2025 review notes daily system malfunctions from an overwhelmed back-office team. The flip side: reviewers who stay cite an "inclusive work environment," "clear sense of purpose," and "ability to meet personal goals." The pattern suggests autonomy is real — but so is the expectation that you close gaps without being asked.
Technical depth matters, but practical execution matters more. The board's live postings, Staff AI Engineer ($250,000–$350,000), Forward Deployed Engineer ($170,000–$250,000), the AI Deployments Lead (at the previously noted band), signal a company putting AI into production at customer sites, not just researching it. G2 reviewers confirm the product works: "reliable, user-friendly access control system that is easy to implement and manage across multiple tenants." They also flag inconsistent response times, "sometimes within a couple of seconds, and then sometimes a couple of hours after an alarm goes off." Engineers who ship, monitor, and iterate on live physical infrastructure, cameras, keyless entry, visitor management, 24/7 remote monitoring, fit the actual work better than those who prefer clean abstraction layers.
Customer-facing resilience shows up repeatedly. The "furious customers due to daily system malfunctions" line from a 2025 review isn't hyperbole; it's the job. Candidates who have owned on-call rotations for hardware-software systems, or managed SLAs where a missed badge swipe means a locked-out tenant, map to the role reality.
The compensation structure reinforces the profile. Board data shows a $93,000–$323,000 band (median $235,000) across 10 salaried roles. Equity exists but isn't detailed publicly; the 2021 Culture Excellence award suggests a moment when retention tools aligned, though recent reviews describe bonuses withheld "based on company-wide averages, even when specific teams performed well" and "promotions and raises are inconsistent."
Location constraints filter the pool. Roles cluster in San Francisco (per board postings) and the company's physical security footprint across 1,000+ buildings in 10 U.S. cities. Hybrid creep is industry-wide, Kastle's own barometer shows 50%+ office attendance as the new norm, but the product itself requires physical presence at installation sites and monitoring centers. People who need fully remote arrangements self-select out.
Trust in colleagues and support from managers rank as the top improvement areas in Indeed data. That means people who thrive build their own networks laterally, document decisions rigorously, and don't wait for structural support. A failed camera feed or unlocked door shows up in the 4.6/5 G2 rating as quickly as the wins.
In short: Kastle selects for builders who have shipped physical-security or IoT systems, operate without a safety net, communicate directly with angry customers, and measure success by uptime — not process compliance. The company's 50-year survival in a consolidating industry suggests that profile works. The next hire will decide whether the AI layer scales on that foundation, or becomes another dashboard nobody watches.
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