JOB DESCRIPTION
What will I be doing:
- Full sales cycle management: from prospecting, deep qualification, delivering demos, proof of concept (often in collaboration with Solutions Engineers) to closing net new deals.
- Pipeline Generation: dedicate at least 30% of your time to self generating pipeline activities, ensuring a continuous flow of opportunities. You will have access to top of line sales tech stack including Outreach, Gong and Hubspot.
- Solution Sales: Engage with prospects and customers to understand their complex data and technical requirements, crafting and selling tailored solutions with typically 3-month sales cycles.
- Multi-Threading: Develop comprehensive business cases and establish multiple champions within each target organization, ensuring broad support for our solutions across diverse stakeholders both technical and business.
- AI product expertise: become a trusted advisor on V7 products, educating customers on the transformative potential of our AI solutions in the multi Large Language Models era .
- Cross functionally partnership with Sales Development, Customer Success, Solution Engineering, and technical teams to support your deals and ensure customer delight and ROI.
- Own a vertical - CEO style. Lead the charge in shaping and expanding V7's footprint, playing a part revolutionizing the way AI integrates into specific industries.
What are we looking for:
- A track record of strong performance early in your career (top 10%-20% of the sales org) quota attainment successfully selling in 100 < 30,000 FTE segment, typical deal sizes sold $30,000 - $250,000 ARR
- You can demonstrate a keen interest in the frontier of AI, including the applications of Large Language Models and GenAI.
- Solutioning: ability to develop and articulate an AI solution vision to technical and business stakeholders to match value proposition and business needs.
- PG mindset. Pipeline generation is everything, but you know that already. You’ll have GTM enablement, BDR resource, and all the tools you could wish for. It’s you that makes the difference though, so we expect you to be a PG stalwart. You’re excited to get out there and gather leads, call people, and attend in-person events.
- Thrived as a another fast-paced SaaS startup or scaleup during a high-growth phase.
- Grit: A proven track record of achieving short and long term goals, through determination and a positive mindset.
- Know the gold standard: You’re hugely curious and are constantly learning and working on honing your sales craft.
- This role is remotely based in the US with expectation with expected semi regular travel to our HQ in Soho, London. Reasons for travel including onboarding, in person SKO, company retreats, etc.
- Preferred to have: sold an emerging solution in Gen AI, Large Language Models, Machine Learning, MLOps or Data Analytics.
- Preferred to have: STEM background in education or working experience, able to leverage technical expertise to aling product benefits with customer needs and and technical stakeholders.
What’s in it for you:
- Salary of up to $150,000 with double, uncapped OTE.
- Set up our Finance division in the US.
- 100% remote role, until we open our NY office (hybrid thereon after) with expected travel the UK for revenue kick offs, QBRs, Onboarding, etc
- Equity of a Series A UK HQ business.
- 30 days holiday, plus an additional day for every year of service with V7, plus Bank Holidays on top
- Insurance (Medical, Dental, Vision, LTD) monthly amount budget.
- 401(K) plan
- Learning and Development annual wallet $1,000.
- Apple MacBook suitable for your role
- Monthly wellbeing and mental health benefit via Thanks Ben.
- Enhanced parental leave
- Paid tickets, accommodation, and travel to relevant conferences, nationally or internationally (NeurIPS, ICCV, CVPR, ...) to expand your network & AI knowledge.
- Fully paid trip to Europe for annual company retreat.
Salary
Competitive
Monthly based
Location
, Decatur County, Kansas, United States, Kansas, United States
Job Overview
Location
, Decatur County, Kansas, United States, Kansas, United States
