Build the platformbrands trust in AI search.
Aiso is how brands track and grow their visibility inside ChatGPT, Claude, Perplexity, Gemini and Copilot. We’re a small, research-driven team practising exactly what we sell. Here are the roles we’re hiring for.
Open roles
Remote Full-time / Part-time Remote
Run AI search optimization engagements end to end: audit how brands surface in ChatGPT, Perplexity, Gemini and Copilot, design the content and structured-data fixes, and prove the lift. We hire both full-time consultants and experienced part-timers who want flexible hours. Deep SEO or GEO experience required.
Own a market. Source and close brands and agencies that need to win AI search visibility, from first conversation to signed contract. We’re hiring reps based in New York, London, Paris and Berlin to build out our regional pipelines. SaaS or martech sales experience strongly preferred.
Own demand generation and brand for a company that lives or dies by its own AI search visibility. Set the strategy across content, product marketing, lifecycle and paid, and build the team to execute it. You’ll practice exactly what we sell. Leadership experience at a B2B SaaS or martech company required.
Turn campaign, funnel and AI-visibility data into decisions. Build the dashboards, run the experiments, and tell us what’s actually working. Minimum 3 years of marketing analytics experience and fluency with SQL and a BI tool required.
Build the pipelines that turn millions of AI assistant responses into clean, queryable visibility signal. Design the schemas, own the ingestion and transformation layers, and keep the data trustworthy at scale. Strong SQL, Python and modern data-stack experience required.
Ship the product end to end: the Next.js dashboards customers live in and the services behind them. You’ll work across the stack, own features from spec to production, and move fast with a small team. Strong TypeScript/React and backend experience required.
Reverse-engineer how large language models choose which brands to cite. Design and run controlled experiments, build the evaluation harnesses, and turn findings into the ranking models that power the product. Strong background in ML, evals or applied LLM research required.
Salary ranges are market benchmarks and the final offer depends on experience and location. Roles also include equity. We’re happy to talk numbers early.
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