Careers at Talara

Build the hiring tool that actually does the work.

Talara is an AI-native ATS built in Europe by people who lived the pain of broken hiring software. The work here is hard, the team is small, and every line of code serves one idea: AI does the work, people own the decisions.

See open roles Our story

Why we exist

Built by people who felt the sprawl, the busywork, and the quiet fear of getting compliance wrong.

Talara came from years spent inside hiring and building the tools for it. The same problems kept appearing: a dozen disconnected systems, recruiters buried in data entry, and compliance bolted on after the fact, cracking the first time it was tested. The founding conviction is simple enough to fit on one line: hiring should run on AI and stay owned by people. Everything built here has to serve that belief or it does not ship. The product earns its place by giving people time back, every single day. That is what the work is for.

AI does the workHumans own every decisionCompliance designed in from day oneUseful beats impressive

Our values

What we hold ourselves to

These are not aspirations. They are the criteria by which work gets evaluated and decisions get made.

AI does the work

Sourcing, screening, scheduling, offers. The AI handles the volume so the people using it can spend their hours on judgment. If a feature does not take work away, it does not ship.

People own consequential decisions

Every decision that matters has a human accountable for it. The system is designed to make that accountability clear, not to obscure it behind automation.

Compliance designed in, not bolted on

Human oversight, bias monitoring, and a PII-safe audit trail are built alongside the AI, not added later. The controls hold when a regulator looks closely.

Useful beats impressive

We would rather remove a click than add a feature. The measure of good work here is whether the person using the product got their time back.

Fewer tools, not more

Another dashboard to check is not innovation. The goal is one coherent system that does the real work, not a wider surface area to manage.

Teams

Where you would work

Talara is a small team with a wide surface area. Every function is close to the product and close to the decisions.

Build the AI pipelines, agentic workflows, and platform infrastructure that make Talara actually do the work. The problems are hard: real-time screening, bias monitoring, PII-safe audit trails, and a visual builder that generates from a brand kit.

5 open roles

Life here

The team at work

people hiking on green grass field during daytime

group of people walking on pathway between green grass background of tree

Benefits

What working here looks like

A small team means real ownership, short feedback loops, and direct access to the decisions that shape the product. The specifics below are what we can state with confidence.

Meaningful ownership

The team is small enough that your work is visible and your decisions matter. There is no layer between you and the problem.

Direct access to decisions

Leadership is reachable. The product direction, the priorities, the trade-offs: you are close enough to influence all of them.

Work that holds up to scrutiny

Talara operates in a regulated space and takes compliance seriously. The work you do here is built to last, not shipped and forgotten.

A human-scale team

Small enough that everyone knows what everyone else is working on. Big enough to have real specialisation across engineering, data, design, product, and go-to-market.

Hard problems worth solving

Agentic AI, bias monitoring, PII-safe audit trails, real-time screening at scale. The technical challenges here are genuine.

A product you can explain to anyone

The mission is one sentence: AI does the work, people own the decisions. You will never struggle to say what you are building or why it matters.

Good to know

Questions worth answering

What does the hiring process look like?

We keep it short and honest. An initial conversation to understand what you are looking for and share what we are building, a practical exercise relevant to the role, and a final conversation with the people you would work with. No panel marathons, no trick questions. We aim to give you a clear answer quickly.

How does Talara approach remote and in-person work?

We are an AI-native company built in Europe. The specifics vary by role and will be stated clearly in each job posting. We do not make blanket promises here that individual roles may not match.

Talara is a compliance-focused product. Does that affect how the team operates?

Yes, and deliberately. Compliance is not a constraint we work around; it is a standard we hold ourselves to. That means decisions are documented, trade-offs are explicit, and the work is built to withstand scrutiny. If you prefer moving fast without that rigour, this is probably not the right place.

How does onboarding work?

You get a person, not a wiki. Onboarding at Talara is hands-on: someone walks you through the product, the codebase, the customers, and the decisions that shaped them. The goal is that within your first few weeks you are doing real work, not completing checklists.

How are decisions made here?

The product has one test: does this give the user their time back? That applies internally too. We keep the decision surface small, the accountabilities clear, and the number of people in any given meeting to the minimum needed to make a good call.

Talara uses AI in its own product. Does it use AI in hiring?

We use our own platform to manage applications, which means the same standards we hold the product to apply to how we hire: human oversight, bias monitoring, and a person accountable for every consequential decision. We do not hide behind the tool.

What if there is no open role that fits me right now?

Leave your details using the form below. When a relevant role opens, you will hear about it before it is posted publicly. We keep the list small and only reach out when there is a genuine match.

Careers

Open roles

100 open

Every role listed here is a real opening. We do not post speculatively.