At a Glance
- Tasks: Drive B2B SaaS sales and create realistic training data for AI systems.
- Company: Obsidian, a leading player in AI research with a remote-first culture.
- Benefits: Flexible remote work, competitive pay, and potential for future projects.
- Other info: Exciting opportunity for career growth in a dynamic, innovative environment.
- Why this job: Join a cutting-edge AI project and make a real impact in the tech world.
- Qualifications: Strong B2B SaaS sales experience, ideally as an Account Executive or Solutions Engineer.
The predicted salary is between 50000 - 70000 £ per year.
Obsidian is seeking UK-based Sales Experts for a research project with a leading AI lab. This fully remote, project-based role requires candidates to have strong B2B SaaS sales experience, likely in positions such as Account Executive or Solutions Engineer.
Your contributions will help in creating high-quality training data for AI systems, with a focus on realistic sales scenarios. Successful performance may lead to further project opportunities with the company.
Senior SaaS AE — Remote, AI Training Data Project in London employer: Obsidian
At Obsidian, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a remote employer, we offer flexible working arrangements, competitive compensation, and opportunities for professional growth within the rapidly evolving AI sector. Join us to make a meaningful impact while enjoying the benefits of a supportive team environment and the potential for ongoing project engagements.
StudySmarter Expert Advice🤫
We think this is how you could land Senior SaaS AE — Remote, AI Training Data Project in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the SaaS industry and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to someone at Obsidian.
✨Tip Number 2
Prepare for those interviews by practising common sales scenarios. Think about how you'd handle objections or close deals, especially in a B2B context. This will show you're ready to hit the ground running!
✨Tip Number 3
Don’t just apply anywhere; focus on roles that excite you, like the Senior SaaS AE position at Obsidian. Tailor your approach and show them why you’re the perfect fit for their AI training data project.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm and keeps you fresh in their minds as they make their decision.
We think you need these skills to ace Senior SaaS AE — Remote, AI Training Data Project in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your B2B SaaS sales experience. We want to see how your past roles as an Account Executive or Solutions Engineer have prepared you for this project. Customising your CV can really make you stand out!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your skills align with our needs. We love seeing genuine enthusiasm, so let your personality come through!
Showcase Relevant Achievements:When detailing your experience, focus on specific achievements that demonstrate your sales prowess. Numbers speak volumes, so if you've hit targets or closed significant deals, make sure to include those details!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Obsidian
✨Know Your SaaS Inside Out
Make sure you brush up on your B2B SaaS knowledge before the interview. Understand the latest trends, challenges, and solutions in the industry. This will not only help you answer questions confidently but also show that you're genuinely interested in the field.
✨Prepare Realistic Sales Scenarios
Since the role involves creating training data for AI systems, think of realistic sales scenarios you've encountered in your previous roles. Be ready to discuss these examples in detail, highlighting your approach and the outcomes. This will demonstrate your practical experience and problem-solving skills.
✨Research Obsidian and Their Projects
Take some time to learn about Obsidian and their work with AI labs. Understanding their mission and how your role fits into their projects will help you tailor your responses and show that you're a good cultural fit for the team.
✨Ask Insightful Questions
Prepare thoughtful questions to ask during the interview. This could be about their approach to AI training data or how they measure success in this project. Asking insightful questions shows your enthusiasm for the role and helps you gauge if it's the right fit for you.
