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Sales Engineer

extra holidays
Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 
California (USA), United States

Offer summary

Qualifications:

University degree in Computer Science or related field, 5+ years experience in enterprise sales, Familiarity with Machine Learning lifecycle, Experience with Mid-market and Fortune 1000 companies, Previous experience with Series B or C startup preferred.

Key responsabilities:

  • Lead technical aspects of pre-sales cycle
  • Produce proposals, demos, and POCs
  • Configure tools for Haystack and deepset Cloud
  • Engage in meetings, presentations, and marketing events
  • Collaborate on GTM strategy and train new hires
Deepset logo
Deepset Startup https://www.deepset.ai/
51 - 200 Employees
HQ: Berlin
See more Deepset offers

Job description

Your mission
As a Sales Engineer at deepset, you will join our North American Go To Market team. You’ll directly deliver value to customers, by collaborating with Sales and Engineering teams through pre-sales activities, aiming to transform customers’ data and satisfy their information needs.
Our mission
We are an AI startup that empowers developers to build applications that use natural language as the interface to data. Our open-source framework Haystack is used by thousands of developers to build LLM applications. Our LLM platform, deepset Cloud, enables enterprises worldwide to unlock the potential of large language models for their business cases. Come join our team and work with tech experts on real-world cases, in a fast-paced and high-impact environment, and shape the AI space together with us.
Life at deepset
At deepset you will find an environment ​with equal opportunities to grow, share ideas, build relationships, and succeed. We believe every employee is important and generates a direct impact on our team’s success.
We are certified by Flexa® Careers as a flexible employer, and our remote first culture is designed to provide work-life balance, autonomy, and flexibility.
Our daily meetings, the quarterly in person "re:base", and the social events allow us to work with great synergy. We would like to invite you to visit our life page to learn more about our culture.

Your impact
  • Own the pre-sales cycle as a technical lead, taking responsibility for the technical aspects of the deals, and working closely in collaboration and alignment with the Solution Engineering team
  • Produce proposals, perform demos, POCs and create reusable assets to facilitate pre-sales processes
  • Configure tooling for Haystack and deepset Cloud
  • Participate in client meetings, presentations, and marketing events on demand
  • Understand the clients’ domains, identify their problems and demonstrate how our products can match their needs
  • Collaborate on the GTM strategy, hire and train new team members
Your profile
  • University degree in Computer Science or comparable qualification
  • A goal-oriented relationship builder, with 5+ years of the overall experience, preferably in enterprise sales, and working with Mid-market and Fortune 1000 Enterprise companies
  • Knowledge of the Machine Learning lifecycle
  • Previous experience with a Series B or C startup is highly desirable
  • Available for travels (50%+)
Perks
  • Remote-first: You can choose to work from home or any other workspace that suits you. We offer home office setup (equipment and furniture), and we would be happy to sponsor a coworking spot.
  • Grow: Personal and professional growth are important to us. We have an annual learning and development budget, and also the opportunity to speak at conferences, internal knowledge sharing, and workshops.
  • Connect: We have a virtual office, a monthly social budget to reconnect virtually or in person, online walks and talks with colleagues from other teams, and a flexible travel policy that enables you to meet colleagues in person for special occasions.
  • Re:base: We meet in person on a quarterly basis, because we believe it’s important to get to know each other. We have fruitful discussions, we hold workshops, we brainstorm together, and we have leisure activities and fun.
  • You are an owner: All employees are enrolled in the employee stock option plan and own a part of the company.
  • Personal time off: If you want to recharge and travel the world - there are 30 days of paid vacation.
  • Choose your tech: The choice is yours among our pre-selected options, and we will provide what you need.
  • Pension fund and Health Insurance fitting with your main working location: All full-time employees are eligible for the pension plan. We also offer health, dental, and vision for employees in the US, in compliance with the local market.
  • Travel Insurance: We want you to be secure during your travels. Therefore, we offer every employee additional travel insurance.
  • Sports budget: To boost your health and well-being, we offer a monthly allowance for your sports activity.
  • Oliva - employee mental wellbeing benefit: To boost your well-being, we offer a benefit that helps you to respond to pivotal moments at work and beyond.
  • Dog-friendly: Our main co-working partner Mindspace welcomes dogs, so you can also bring your best friend to the office.
  • Enhanced days off for Family Sick Leave: We offer additional days in case your child gets sick.
  • Additional days off: We don't work on the 24th & the 31st of December.
  • Flexible working hours: You can adapt your work to your private life.
What colleagues say
  • “Like many others, I learned about deepset through the German Bert model. I'm proud to be part of a truly cutting-edge NLP company and excited to enable others to utilize our technology.” (Miriam, Team Lead Solution Engineering)
  • “I joined deepset because I'm excited by the transformational opportunities that AI presents to businesses across all industries. Their commitment to fostering adoption in a technology-agnostic manner aligns with my vision for the future of AI, and ultimately, I'm excited to be a part of a team that shares these values.” (Blake Yu, Director of Sales Europe)
About us
Our vision: We make machines understand language so that humans can achieve more. 
Our mission: We empower developers to make NLP part of every application in every enterprise.
Visit us to learn more: Website | GitHub | Linkedin | Twitter

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Computer Software / SaaS
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Time Management
  • Problem Solving
  • Verbal Communication Skills

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