H

Hilbert

No-code AI analytics for B2C growth

GTM Account Executive - Anz

Account ExecutiveUpdated on Nov 14
Full-timeSydney NSW, AustraliaNo salary listed

About the Job

Requirements

  • A record of carrying and beating a quota in enterprise software, closing six-figure deals with C-suite buyers.
  • Experience selling data, analytics, AI/ML SaaS to C-suite buyers across retail, e-commerce, direct-to-consumer, banking, and telecoms.
  • A network across ANZ retailers, consumer brands, telcos, or banks.
  • Experience building a territory from zero without an established brand behind you.
  • Experience running long sales cycles through procurement, security, and legal.
  • Right to work in Australia.

Responsibilities

  • Build a pipeline from target accounts, outbound activity, events, and partner referrals.
  • Run sales end to end, including discovery, product demonstrations, business cases, commercial negotiations, and contracts.
  • Partner with the Solutions Engineer, who owns technical evaluation and solution design.
  • Close paid proofs of concept with one agreed metric and a path to an annual contract.
  • Convert proofs of concept into annual recurring revenue at or above target gross margin.
  • Grow each account after launch with the Forward Deployed Engineer by identifying the next use case or business unit.
  • Maintain an accurate forecast by recording every deal in the customer relationship management system with a next step and date.
  • Meet targets for new annual recurring revenue, proof-of-concept-to-annual-recurring-revenue conversion, and qualified pipeline built.

Desired Qualifications

  • Sales experience with organisations regulated by the Australian Prudential Regulation Authority.
  • Experience at a customer data platform, martech, or data platform vendor.
  • Experience as the first seller in a new region for a startup.

About the Company

Hilbert

No-code AI analytics for B2C growth

Hilbert provides an AI-powered growth platform for B2C businesses that turns fragmented data from teams like retail, inventory, and ecommerce into actionable guidance. It connects diverse data sources, uses deep learning and a proprietary AI/ML stack to organize data for models, and offers a no-code, natural language interface to ask questions. The Hilbert Label collects all data about a single customer, including predictive insights such as churn risk and upsell potential, and updates this label as new data arrives; the system also flags marketing inefficiencies and forecasts metrics like customer growth. Its goal is to translate insights into measurable actions with estimated revenue impact, helping large B2C brands shorten decision cycles and accelerate growth while expanding through venture funding and experienced operators.

Company size
51-200
Company stage
Series A
Total funding
$28M
Headquarters
San Francisco, CA
Founded
2025

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