Enterprise Growth Manager - Data & AI SaaS (Hybrid)

Arkham Technologies; Ciudad de México; Ibrido; MXN 1.200.000 - 2.400.000; Tempo pieno

Vantaggi offerti da questo lavoro

Hybrid work model

Competitive compensation with variable

Descrizione del lavoro

Arkham Technologies in Mexico City seeks a Growth Manager to own deals end to end, framing value in P&L terms and negotiating with C-level executives. You will build enterprise pipeline, lead discovery, design commercial proposals, and orchestrate the team around the deal.

You will execute the GTM strategy, keep HubSpot up to date, and report progress to the Head of Growth. Hybrid work model; competitive compensation with variable component tied to results.

Competenze

• 5–8 years in senior commercial roles at CPG, Retail, or B2B enterprise sales.
• Proven track record closing multi-stakeholder deals with executives.
• Deep understanding of margins, sell-in/sell-out, and promotions.

Mansioni

• Build enterprise pipeline across retail chains and distributors.
• Lead business discovery with directors and C-level executives.
• Design consultative proposals with business cases and pricing.
• Negotiate and close contracts with procurement, legal, and finance.
• Coordinate Sales Engineer and Account Manager for handoff.
• Execute GTM strategy: ICP, tiering, messaging and sequences.
• Maintain HubSpot CRM with accurate forecast and stages.

Conoscenze

Enterprise sales

C-level negotiations

Forecasting & CRM

Business case & pricing

Strategic partnerships

HubSpot / Salesforce

Communications

Strumenti

HubSpot

Salesforce

Descrizione del lavoro

Arkham Technologies in Mexico City seeks a Growth Manager to own deals end to end, framing value in P&L terms and negotiating with C-level executives. You will build enterprise pipeline, lead discovery, design commercial proposals, and orchestrate the team around the deal.

You will execute the GTM strategy, keep HubSpot up to date, and report progress to the Head of Growth. Hybrid work model; competitive compensation with variable component tied to results.