As a Sales Executive, you will hunt for new clients, manage enterprise accounts, and create revenue streams while collaborating with internal teams.
Description
What you'll do:
As a member of the Enterprise Sales team, you will be responsible for:
Requirements:
Defined.ai is a leading provider of high-quality, ethically sourced data for Artificial Intelligence (AI) and Machine Learning (ML) model training. We host the world's largest AI marketplace and offer end-to-end services to help companies accelerate their AI solutions. Backed by significant funding and recognized globally for our commitment to ethical AI, we operate in a fast-paced, innovative environment with offices in Seattle and Lisbon.
What you'll do:
As a member of the Enterprise Sales team, you will be responsible for:
- Hunting for new logos in the assigned Enterprise verticals.
- Managing enterprise and or strategic customers
- Creating organic revenue streams working with the solutions and customer success teams within assigned territories/regions.
- Supporting and collaborating with internal partners to build successful proof of concepts, use cases and RFPs etc.
Requirements:
- 6+ years of proven experience working as a Sales Executive selling Professional Services / Data / Customized Projects / Consultative Sales into Enterprise accounts (B2B).
- Proven sales executive experience, meeting or exceeding targets.
- Proficient with Salesforce / CRM and MS Office.
- Ability to communicate, present and influence all levels of the organization, including executives.
- Strong ability to handle directly and close complex deals above $1M.
- Able to analyse high value potential customers and within assigned verticals
- Strong ability to negotiate and close high value deals
- Proven ability to drive the sales process from plan to close
- Demonstrable ability to articulate the distinct aspects of products and services
- Proven ability to position products against competitors and showcase value proposition
- Knowledge in AI/ML.
- Technical Sales experience will be a plus.
- Bachelor's degree and or equivalent. We value a Computer Science / Engineering background.
Benefits
You spend a lot of your time at work, so it should be challenging, fun and interesting. At Defined.ai it will be all of those things and more. Here’s what we offer:
- Flexible working schedule and hybrid model. We know comfort can boost creativity and performance, so you can manage your schedule and work both from one of our modern office spaces or home.
- Excellent career development opportunities in a high growth company. With us, you can accomplish your career goals and follow a well-described career path with the support of your supervisor.
- Culture of feedback and continuous improvement. AI is a fast-paced area, so we keep track of tech trends, and we always ask for feedback.
- An international and diverse team. We have more than 30 nationalities at our 4 locations, and we provide language classes.
- Continuous training opportunities. You can choose from many options: leveraging hand-on workshops, unlimited access to Udemy and formal development opportunities.
- We love to have fun together. We joke a lot, and we can't imagine work without fun activities – we already surfed, raced carts and played soccer together
Privacy Notice: defined.ai/candidate-privacy-statement
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
