Account Executive

Reposted One Month Ago
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Hiring Remotely in London, Greater London, England, GBR
In-Office or Remote
Mid level
Artificial Intelligence • Software
The Role
The Account Executive will manage the full sales cycle, focusing on high-velocity B2B deals in energy trading, and collaborate with cross-functional teams to drive growth and customer satisfaction.
Summary Generated by Built In
Overview

Physical AI, a real model of the world, is the next trillion dollar opportunity and a foundational pillar for energy, robotics and superintelligence.

At Jua we are building it now. Our models already run on four continents and help power the energy buildout needed to support ever larger intelligence.

We are assembling a world-class team of researchers and entrepreneurial minds to turn this model into reality at global scale. If you want the opportunity of your life, come build physical AI with us.

What we’re looking for

We’re looking for an ambitious Account Executive to accelerate growth across our B2B platform product. You’ll own the full sales cycle, from outbound prospecting to onboarding, focused on high-velocity, smaller-ticket deals in the energy trading space for both technical and non-technical decision makers.

This is a high-impact, high-ownership role at the foundation of our commercial organization. You’ll work closely with the CEO and Head of Sales to shape our go-to-market strategy, refine the sales playbook, and drive the initiatives that power our next stage of growth.

You’ll thrive in this role if you’re energised by fast-paced, high-pressure environments, have a hunter mentality, and are comfortable navigating ambiguity to get results.

Responsibilities and tasks

  • Own the full sales cycle from prospecting and outreach to negotiation and closing, using solution- and value-based selling techniques

  • Conduct discovery calls, deliver tailored presentations and demos

  • Drive new business across our self-serve and platform offerings, with a focus on high-velocity deals

  • Build and manage a qualified pipeline with targeted outbound strategies for key verticals

  • Understand customer pain points and communicate our value proposition with clarity and impact

  • Maintain accurate, up-to-date CRM records (Hubspot), including opportunity details, timelines, and next steps, to support forecasting and performance tracking

  • Act as the main point of contact post-sale, ensuring smooth onboarding, strong early adoption, and long-term account health

  • Identify upsell opportunities and proactively address churn risks through ongoing customer engagement

  • Collaborate with cross-functional teams (Engineering, Product) to navigate deals efficiently and share insights that shape product development

  • Support renewal and expansion conversations to drive customer growth

  • Travel as needed to attend industry events and meet customers

Need-to-have

  • 3-5 years of B2B sales experience in a high-growth, early-stage startup environment

  • Previous success in selling new product categories as opposed to being a "price configurator.”

  • Possess a high technical aptitude and a hunter mentality

  • Background in trading (energy, commodities, or financial markets)

  • Proven track record of high performance and exceeding targets

  • Strong domain knowledge of the weather or energy industry

  • Ability to “speak the language” of traders, meteorologists, and technical decision-makers, and serve as a trusted advisor

Nice-to-have

  • Advanced degree (PhD or MSc) in a quantitative discipline

  • Has built automated outbound channels with tools such as CRM, Clay, etc.

Personal Attributes

  • You are all in, are able to travel frequently, willing to work long hours and do whatever it takes to win

  • You are highly intelligent and combine this with a strong execution bias

  • You move fast, make smart decisions under pressure, and thrive in ambiguity

  • You take initiative and don’t wait on instructions

  • You’re a highly creative problem solver that can hack solutions

Please note: We prioritise your answers to the application questions over your CV, so we encourage you to complete them as thoughtfully and thoroughly as possible.

At Jua, we foster a performance culture and value people who embody our beliefs of service and adventure. We prioritize agility, operating at the highest clock speed to adapt quickly to change.

We innovate on behalf of our users and leverage data supremacy to maintain our competitive edge. Through clear communication and fact-based decision-making, we ensure alignment in our pursuit of excellence.

With these principles, we aim to create a customer-focused, value-centric organization that sets new standards in the industry. We value the unique perspectives that each individual brings to the table and believe that embracing diverse backgrounds and experiences enriches our collective journey towards growth and success.

Skills Required

  • 3-5 years of B2B sales experience in a high-growth, early-stage startup environment
  • Background in trading (energy, commodities, or financial markets)
  • Proven track record of high performance and exceeding targets
  • Strong domain knowledge of the weather or energy industry
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The Company
HQ: Zürich
42 Employees
Year Founded: 2022

What We Do

Jua.ai - Accuracy beyond expectation. Use beyond belief. The world's first end to end deep learning model for weather forecasting, delivered on an intuitive platform for anyone to customise it. Startups, governments and large companies alike can now develop global, high frequency and high accuracy weather models within days. Jua’s mission is focused on achieving artificial general intelligence (AGI) through a deep exploration of physics, the universe, and their interaction with the human civilisation. We are initially building the world's largest AI weather forecasting model so far and - to our knowledge - the first truly end to end one. This will help energy companies deal with weather volatility by way of significantly better and faster prediction as well as much more flexible extrapolation of insights.

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