Founder & Head of AI-Driven Asset Intelligence

Maritime Ventures; Italia; Remoto; Riservato; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive cash compensation

Early co-founder equity

Remote-first setup

Startup backing

Descrizione del lavoro

Equiply is building the intelligence layer for industrial equipment and is starting in Italy with maritime and port supply chain interests. This founder-level seat focuses on defining standards, architecture, and the AI-enabled workflow that scales as volume grows.

You will own the machine record end-to-end, decide between build, buy or partner, and shape the engineering organization while driving tests and measurable outcomes.

Competenze

• A decade building software products, including one you took from nothing to real scale.
• Ability to define and defend data standards and architecture.
• Experience embedding AI into working processes, not just pitches.
• Comfort making trade-offs on build vs buy vs partner.
• Strong discipline with tests as a decision mechanism.
• Global ambition and comfort with multi-market strategy.

Mansioni

• Set the standards - data model, architecture, quality bar - and defend them when speed argues otherwise.
• Own the machine record end to end, and its reliability as volume grows by orders of magnitude.
• Design how the company runs on AI: what is agent-run by default, what stays human.
• Decide build, buy or partner; move development in-house and hire the team.
• Convert open questions into tests that run in days, not quarters.
• Push across the company - pricing, hiring, positioning, the round.
• Build the product and engineering organisation, and set the bar for everyone who follows.

Conoscenze

Software product leadership

AI integration in workflows

Architectural decision-making

Pricing & GTM strategy

Data modeling standards

Tests over opinions

Descrizione del lavoro

Equiply is building the intelligence layer for industrial equipment and is starting in Italy with maritime and port supply chain interests. This founder-level seat focuses on defining standards, architecture, and the AI-enabled workflow that scales as volume grows.

You will own the machine record end-to-end, decide between build, buy or partner, and shape the engineering organization while driving tests and measurable outcomes.