Letaido is an AI teammate for marketing teams. It isn’t a chatbot that answers questions. It’s an agent with its own workspace that does the work: pulls the data, builds the tool, writes the report, ships the page, then keeps it running on a schedule.
Ask it for a content gap analysis and it queries Ahrefs directly. Ask it to track competitor ads and it builds you an app for that and keeps it updated. It connects to the systems marketers already live in, including HubSpot, Slack, Notion, Google Ads, Search Console and Stripe, and it can stand up a public site or an internal dashboard without a developer.
It’s built inside Ahrefs. That gives it fifteen years of web crawling infrastructure, petabytes of first-party index data, and no investors setting the timeline. We’ve been profitable and independent for fifteen years, so we answer to our users rather than to a board.
Software you operate yourself has settled conventions. A dashboard, a form, a table. Software that goes off and does the work for you doesn’t. What does it look like to hand over a task to something that will disappear for ten minutes, use twenty tools, make judgement calls along the way, and come back with a finished thing? How does someone see what it’s doing without reading a log? How do they trust it enough to leave it running, and stop it when they shouldn’t? What does a workspace look like when half the work in it wasn’t done by a person?
You’ll be the one working this out, and what you decide becomes the product.
This is a senior role that goes well beyond making screens. At Ahrefs we don’t have a conventional product manager layer, so our product designers take full ownership of their products and combine design, product management and leadership. On Letaido that ownership is wider than usual, because the surface is so new. You decide what ships, in what order, and what good looks like. Then you take it from the first sketch to the released thing and keep improving it.
This role gives you a load of autonomy, so the distance between your idea and a decision is one conversation. There’s no roadmap committee to win over and no design system to inherit. You’ll set the language the product speaks in.
This role is based out of one of our offices: Palo Alto (CA), Cambridge (MA), Singapore or Tokyo. You can be based in whichever one you have the legal right to work in, but this is an on-site role: we’re looking for someone who’ll be in the office with the team.
You’ll also be one of Letaido’s heaviest users. When something is wrong, the fastest fix is usually walking over to the people building it.
Location: Palo Alto (CA), Cambridge (MA), Singapore or Tokyo. On-site.
Ahrefs does not engage with agencies or third party recruitment solutions for the roles we hire for. If at any point we need help, we'll let you know!
Ahrefs gestisce un bot che scansiona l'intero web 24 ore su 24, 7 giorni su 7, archiviando enormi volumi di informazioni da indicizzare e strutturare in maniera tempestiva. Il nostro sistema di backend è alimentato da un'archiviazione distribuita chiave-valore nell'ordine dei petabyte, creata su misura per ospitare tutti i dati che arrivano ad alta velocità. Con questi dati, Ahrefs crea servizi di analisi per gli utenti finali nel settore della Ottimizzazione per i motori di ricerca (SEO) e una piattaforma di ricerca su scala web. Siamo un team agile e affidabile che crede fermamente che una tecnologia migliore porti a soluzioni migliori per i problemi del mondo reale.
Il nostro motto è: prima fallo, poi fallo bene, poi fallo meglio
Every day is a new day where I get to solve interesting problems, or make improvements that have a positive impact on thousands of users.

Bryan Chen,
Frontend Developer
You have autonomy to make things happen. Despite the size of Ahrefs’ business, I’m part of a really lean team—cool things you see from our platform or events are the result of self-driven initiatives from each of us

Constance Tan,
Product Marketer
Being a Data Scientist at Ahrefs isn’t just about crunching numbers — it’s about learning, collaborating, and making real impact. The supportive team, challenging projects, and dynamic environment make every day an exciting opportunity for growth.

Xibeijia Guan,
Data Scientist
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Product Designer