GTM Intern
Simular
GTM Intern
Simular
Personal autonomous AI agents on devices
Where multiple locations are listed for this role, the position may be based in any of those locations, with priority determined according to the order of listing.
Leads are arriving faster than we can route them, and the systems that should catch them are still being built. This role is for someone who sees a messy funnel and wants to fix the plumbing.
You'll own the operational layer underneath our go-to-market motion: how leads get captured, scored, routed, and measured. It's not glamorous work, but done well it's the difference between a pipeline that compounds and one that leaks.
Own inbound lead flow: capture, deduplicate, enrich, and route leads so nothing falls through
Build and maintain lead scoring and segmentation rules, then refine them as we learn what converts
Keep our CRM and GTM tooling clean and trustworthy, since every downstream decision depends on it
Build the funnel reporting the team actually reads: weekly conversion, stage drop-off, and channel efficiency
Automate repetitive GTM work using no-code tools and light scripting
Instrument outbound sequences and campaigns so results can be measured and compared
Turn one-off manual tasks into reusable systems that keep working after you've moved on
You're pursuing a Bachelor's or Master's degree in Business, Economics, Information Systems, or a related field, or equivalent experience
You've worked with CRM, automation, or analytics tooling, whether HubSpot, Salesforce, Zapier, Airtable, or similar
You're comfortable with spreadsheets at a serious level, and you know some SQL or Python or want to learn
You think in systems: you'd rather build the process once than do the task ten times
You're data-informed and understand the basics of funnels and attribution
You're detail-oriented, because bad data quietly breaks everything downstream
Bonus: experience building dashboards, or prior ops work at a startup
Simular AI builds personalized autonomous agents that run directly on personal devices, enabling tasks and decisions to be carried out independently for each user. These agents power both consumer and business use cases, with revenue coming from AI software licenses, subscriptions, and custom AI solutions. The product works by deploying on-device AI software that interprets user preferences, learns over time, and autonomously execute actions or make decisions aligned with the user’s goals. Simular differentiates itself by focusing on highly tailored, on-device autonomous agents for individuals and organizations (B2C and B2B), supported by a team of designers, engineers, developers, and researchers pursuing advances in artificial general intelligence. The company aims to broaden access to AGI-powered capabilities, expanding practical autonomy for everyday tasks while maintaining on-device operation rather than relying solely on cloud services.
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