Skyline Nav AI

Skyline Nav AI, Inc. is currently hiring

We don't use automated chatbots to review applicants. Every applicant is reviewed by our leadership team. Applicants must be US Citizens who are eligible to pass an extensive background check, and receive a security clearance from the US Department of Defense. We typically get back to candidates within 24 hours of applying.

Open Role: Go-To-Market Lead (full-time)

Go-To-Market Lead

Description: As the Go-To-Market Lead, you will be responsible for driving the commercial success of Skyline Nav AI’s cutting-edge visual navigation solutions. Your focus will be on generating and closing new business opportunities, spearheading product marketing initiatives, and cultivating long-term customer relationships.

This is a high-impact role requiring a strategic mindset, a passion for innovation, and the ability to execute sales and marketing strategies in a fast-paced, technology-driven environment. You'll represent the company in meetings, at conferences, and during client engagements, requiring significant travel.

This role is ideal for candidates with 1 to 5 years of industry experience.

Responsibilities:

Lead outbound sales efforts and maintain a robust sales pipeline to identify and close new business opportunities.
Develop and execute go-to-market strategies to effectively position Skyline Nav AI’s solutions in the commercial, defense, and space sectors.
Build and nurture customer relationships, acting as the primary point of contact for high-value clients.
Collaborate with product and engineering teams to refine marketing messages and ensure successful product launches.
Identify revenue-generating opportunities and drive profitable growth through a combination of market analysis and customer feedback.
Travel to customer sites and industry events (up to 50% of the time) to promote products and close deals.

Requirements:

Proven experience in a go-to-market, business development, or product marketing role, preferably in technology or AI-driven industries.
Strong track record of generating leads, closing deals, and achieving revenue targets.
Excellent communication and presentation skills, with the ability to clearly articulate complex technical solutions to diverse stakeholders.
Ability to travel extensively to meet with clients and represent the company at events (up to 50% of the time).
Self-motivated and able to work in a fast-paced, dynamic startup environment.

Preferred:

Experience in positioning, navigation, or related technologies such as GPS, AI, or computer vision.
Familiarity with government, defense, or aerospace sectors.
Previous experience with API-based or SDK-based products.

If you are passionate about visual navigation and want to make an impact in this exciting and rapidly growing industry, we would love to hear from you. We offer competitive compensation packages, remote work and opportunities for growth within our company.

Skyline Nav AI, Inc. is committed to providing equal employment opportunities to all individuals regardless of their race, color, religion, sex, national origin, military service or veteran status, age, disability, sexual orientation, gender identity and expression, or any other status. We believe that a diverse and inclusive workforce is essential to our success and fosters innovation and creativity.

To be considered for this role, please complete this brief application form.

Open Role: Software Engineer (full-time and internship)

Software Engineer

Description: Skyline Nav AI, Inc. is a well-funded, commercially successful scale-up focused on revolutionizing visual navigation technology as an alternative to GPS, for our commercial and military customers. We are seeking highly motivated and hungry recent graduates (Bachelor's/Master's) who are passionate about computer vision, computer graphics and AI to join our team.

As a Software Engineer, you will be working under the tutelage of two experienced product and R&D focused folks who have delivered many products to market. You will be responsible for developing and implementing computer vision algorithms, GPU shaders, and machine learning models to help our technology achieve high-accuracy visual navigation.