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ZALOS

Computer agents for finance operations logs into SAP, NetSuite, Sage, and every other ERP as a human would

2 open rolesSeed · $3.6M<50 peopleLondon

Last verified August 17, 2026 · Updated daily

What ZALOS is building

Finance teams at mid-market and enterprise companies spend a staggering amount of time doing things that should be automated but aren't: toggling between SAP and NetSuite to reconcile figures, manually running billing cycles across multiple ERP instances, exporting data from one system and re-entering it in another. APIs between enterprise finance systems are often missing or incomplete. The systems are too embedded to replace. The result is that finance professionals become the human API, manually stitching data across systems 1,200 screen-switches a day. Zalos builds computer agents that solve this without touching the architecture. The agent watches a screen recording of how a finance professional performs a workflow billing initiation, month-end reconciliation, vendor onboarding and then executes that workflow autonomously inside the same interfaces, using the same credentials, clicking the same screens, at any time of day or night. Every action is captured in an auditable log. The system is SOC 2 Type II certified, handles two-factor authentication and CAPTCHA, and supports on-premise deployment. Customers already include major mid-market ERP deployments on NetSuite, Sage, and SAP S/4HANA.

Why this matters

Enterprise finance is one of the last functional areas where "AI transformation" has mostly failed to deliver. The reason is structural: the systems are too complex, too varied, and too audit-sensitive to hand to a general-purpose AI. Zalos's framing is pointed: generative AI defined 2023, multi-modal defined 2024, reasoning defined 2025, and computer agents are the defining shift of 2026. OpenAI and Anthropic are building general-purpose computer agents. Zalos is the narrower, more defensible bet an agent that is specifically trained on finance workflows, specifically aware of what an ERP audit trail requires, and specifically built to operate at the accuracy level finance teams need. The angel roster is the proof point. Mike Lenz ran the finance function of a $90B logistics company. Ian Sutherland is CFO of a digital bank. Long Dinh is CFO of an AI company. These are not investors making a thesis bet. They are the exact buyers Zalos is selling to, and they put their own money in. Paul Forster founded Indeed, which scaled a two-sided marketplace with a similar "sit on top of existing behaviour" model. Tom Blomfield, the Monzo founder who mentored Zalos through YC F25, has a track record of building financial infrastructure that operates in highly regulated, trust-critical environments.

Investors: 14 Peaks (lead), Cohen Circle, 20VC, Angels: Mike Lenz (CFO FedEx), Ian Sutherland (CFO Tide), Long Dinh (CFO Ada), Nancy Casey (VP Oracle, SAP), Paul Forster (Founder, Indeed), Hasan Sukkar (Founder, 11x), Ed Woodford (Founder, zerohash), YC mentor Tom Blomfield (Monzo founder)

Open roles at ZALOS

2 positions we're tracking. Roles are re-checked daily and removed when filled.

Software Engineer (Remote, Full-time)

London·Mid-level

First seen 4 months ago

Apply →

Senior AI Engineer (London, UK, Full-time)

London·Senior

First seen 4 months ago

Apply →
Live · tracking ZALOSLast checked August 17, 2026

Know when ZALOS is hiring before anyone else

A role stays uncontested for about four days. Here's the window — and where we put you in it.

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Watching ZALOS

0 applicants

Role spotted & verified

1

You get the alert

1

You've applied

~8

Hits the job boards

250+

Hiring outlook

Very High. Two live roles right now on zalos.ai/careers. Press release explicitly names team expansion as a use of capital. 14 Peaks portfolio companies follow a playbook of rapid team build post-seed.

Hiring intensity: 8/8

Working at ZALOS

ZALOS: Computer agents for finance operations logs into SAP, NetSuite, Sage, and every other ERP as a human would. Founded , currently <50 employees. At this stage, expect broad remit, direct access to founders, and equity that still means something if the company works out.

Most ZALOS jobs are based in London.

How to actually get hired at ZALOS

Why applying the normal way doesn't work

At this size (<50 people), ZALOS has no recruiting function. Founders handle hiring alongside everything else. Reach them directly or get lost in the inbox.

Who to contact at ZALOS

Who decides:a founder or department head
Best channel:LinkedIn or direct email

Founding team

WF
William Fairbairn
Co-Founder and CEO

William's career before Zalos follows a precise path into the exact problem the company is solving. He started at McKinsey, which gave him the analytical framework for how large organisations evaluate technology risk and transformation cost. He then joined Agicap as UK General Manager. Agicap is one of the largest Office of the CFO software platforms in Europe, used by thousands of mid-market companies to manage cash flow and financial operations, and in that role William spoke directly with hundreds of CFOs about their biggest operational frustrations. The answer he kept hearing was not "we need a new ERP." It was "our current ERP is impossible to get value from without a team of people manually stitching it together." That conversation is the founding insight for Zalos verbatim. He moved from observing the problem at Agicap to building the solution at Zalos after YC F25. He writes actively on LinkedIn about enterprise finance automation and the computer agent opportunity, and his posts are worth reading before any outreach because they tell you exactly how he frames the market. He is based in London, which is where the enterprise finance customer conversations are concentrated. LinkedIn: search "William Fairbairn Zalos."

HH
Hung Hoang
Co-Founder and CTO

Hung is one of the more technically credentialed CTOs in the London enterprise AI scene, with a background that maps almost perfectly onto the problem Zalos is solving. He spent five years at Apple building Apple Pay services, which at peak scale served hundreds of millions of daily active users across dozens of countries, each transaction requiring sub-second reliability, cryptographic security, and compliance with financial regulations across multiple jurisdictions. That experience gave him an unusually practical understanding of what it means to build financial infrastructure that cannot fail. He also contributed to other AI initiatives at Apple before leaving to co-found Zalos. His insight into why Zalos uses a computer-use agent approach rather than APIs is grounded in that background: enterprise finance systems frequently have no usable API, an incomplete one, or one that is too risky to use for live financial transactions. The visual interface is the only reliable path, and Apple Pay gave him the engineering discipline to build something operating at that interface reliably and securely. He is less publicly vocal than William and contributes technical commentary on LinkedIn rather than maintaining an active X presence. LinkedIn: search "Hung Hoang Zalos."

What to show them

Build a minimal computer agent that logs into a publicly accessible web application (a test ERP demo, or any form-heavy enterprise tool), executes a two-step workflow, and logs every action with a timestamp and screenshot. Share the code. It's directly analogous to what Zalos builds, and it shows you understand the core engineering challenge.

A cold email that works at ZALOS

Subject: Software Engineer (Remote, Full-time), [your one-line proof]
Hi William, I built a minimal computer agent that logs into a NetSuite demo environment, runs a two-step billing initiation workflow, and captures a timestamped action log with screenshots. The hardest part was making it resilient to the UI rendering variations between sessions. Happy to share the code it felt like the most honest way to demonstrate I understand the Zalos engineering problem.

What ZALOS screens for

The press release is specific: the $3.6M will go toward broadening the range of ERP systems Zalos can operate, building a context graph across the finance stack, and expanding the team. Two roles are live on the careers page right now. The careers page copy is notably good: "Fortune 500 companies run on software so painful that workers toggle between applications 1,200 times a day, losing 4 hours a week just navigating screens. These systems are so welded into a company it can cost $700M to replace a core ERP. So we're not replacing them. We're the layer across them." That sentence was written for candidates who want to work on a problem with genuine enterprise weight. The remote Software Engineer role means geographic distribution is acceptable. The London Senior AI Engineer role is the higher-signal hire London is where William Fairbairn is based and where the enterprise finance customer conversations are happening.

Don't send a generic CV to ZALOS. Mirror the job posting's language to get past automated screening.

Don't make these mistakes

Pitching Zalos as a general-purpose AI automation play. William and Hung are very specific about the finance context and why it matters. Finance is different from every other department because accuracy is non-negotiable and every action needs an audit trail. If you cannot articulate why 90% accuracy is unacceptable in finance, or why screen-recording-based agent training is more practical than API integration in ERP environments, you will sound generic. Read the careers page copy carefully the team wrote it to filter for candidates who get it.

Mistakes that kill ZALOS applications

At <50 people, a copy-paste CV is immediately obvious. It's an instant no.

Nobody cares what you want. Start with Enterprise finance is one of the last functional areas where "AI transformation" has mostly failed to deliver and how you'd help.

Don't apply and wait. The median B2B, Operations application gets no response ever. One follow-up at day five roughly doubles reply rates.

Live · tracking ZALOS

Applying to ZALOS? Get the contact, not the form.

The ZALOS interview process

3 stages · 7 days typical · take-home: no · modelled from similar companies

We don't yet have verified candidate reports for ZALOS. What follows is the typical process for a <50-person B2B, Operations company — treat it as a model, not confirmed detail.

Interview stages

1

Intro Call

Video call · 30 min

What it tests:

Culture fit and role expectations

Usually run by:

Founder or hiring manager

2

Technical Deep Dive

Video call or in-person · 60 min

What it tests:

Past projects and problem-solving approach

Usually run by:

Technical founder or lead

3

Final Round

In-person or video · 45 min

What it tests:

Team fit and offer discussion

Usually run by:

Founding team

ZALOS interview timeline

At days, ZALOS's process is faster than typical for B2B, Operations (10 days at this size).

Interviewed at ZALOS?

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ZALOS jobs, frequently asked questions

How many jobs does ZALOS have open?

ZALOS currently has 2 open roles, last verified April 2026.

Does ZALOS hire remotely?

All current ZALOS roles are based in London.

What roles is ZALOS hiring for?

ZALOS is hiring across Engineering. The most recent opening is Software Engineer (Remote, Full-time).

How do I apply for a job at ZALOS?

Apply directly through the links above, or read our guide on how to actually get hired at ZALOS.

Does ZALOS respond to cold emails?

We're still collecting cold email data for ZALOS.

Who is the hiring manager at ZALOS?

At this size, hiring is usually run by a founder or department head.

How competitive is it to get hired at ZALOS?

<50-person B2B, Operations companies see ~50-100 applicants per role in two weeks. The 72-hour window is your advantage.

How many rounds is the ZALOS interview?

3 stages: Intro Call, Technical Deep Dive, Final Round.

Is the ZALOS interview hard?

It concentrates on relevant experience and culture fit rather than abstract puzzles. The stage candidates find hardest is Final Round.

Does ZALOS give a take-home task?

No, ZALOS does not include a take-home stage.

How long does ZALOS take to get back to you?

Around 7 days across the full process.

What should I prepare for the ZALOS interview?

Prepare for relevant experience and culture fit. A <50-person startup wants proof you can ship, not that you can whiteboard.

Where is ZALOS based?

ZALOS is headquartered in London, UK.

Live · tracking ZALOSLast checked August 17, 2026

Get ZALOS roles before they're posted

A role stays uncontested for about four days. Here's the window — and where we put you in it.

Notify me when ZALOS hires

From $9/month, cancel any time.

live+2h+4hday 3day 7+

Watching ZALOS

0 applicants

Role spotted & verified

1

You get the alert

1

You've applied

~8

Hits the job boards

250+

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