Senior Pre-Sales Solutions Engineer

Anaconda · Afghanistan, Albania, Algeria, Andorra, Angola, Antarctica, Armenia, Austria, Azerbaijan, Bahrain, Belarus, Belgium, Benin, Bosnia and Herzegovina, Botswana, Bouvet Island, Bulgaria, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, The Democratic Republic of the, Cook Islands, Croatia, Curaçao, Cyprus, Czechia, Côte d'Ivoire, Denmark, Djibouti, Egypt, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Faroe Islands, Finland, France, French Guiana, French Southern Territories, Gabon, Gambia, Georgia, Germany, Ghana, Gibraltar, Greece, Greenland, Guadeloupe, Guernsey, Guinea, Guinea-Bissau, Heard Island and McDonald Islands, Holy See (Vatican City State), Hungary, Iceland, Iran, Iraq, Ireland, Isle of Man, Israel, Italy, Jersey, Jordan, Kazakhstan, Kenya, Kosovo, Kuwait, Kyrgyzstan, Latvia, Lebanon, Lesotho, Liberia, Libya, Liechtenstein, Lithuania, Luxembourg, Madagascar, Malawi, Mali, Malta, Martinique, Mauritania, Mauritius, Mayotte, Moldova, Monaco, Montenegro, Morocco, Mozambique, Namibia, Netherlands, Niger, Nigeria, North Macedonia, Norway, Oman, Palestine, State of, Poland, Portugal, Qatar, Romania, Rwanda, Réunion, Saint Barthélemy, Saint Helena, Ascension and Tristan da Cunha, Saint Martin (French part), Saint Pierre and Miquelon, San Marino, Sao Tome and Principe, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Sint Maarten (Dutch part), Slovakia, Slovenia, Somalia, South Africa, South Sudan, Spain, Sudan, Svalbard and Jan Mayen, Sweden, Switzerland, Syrian Arab Republic, Tajikistan, Tanzania, Togo, Tunisia, Turkey, Turkmenistan, Uganda, Ukraine, United Arab Emirates, United Kingdom, Uzbekistan, Western Sahara, Yemen, Zambia, Zimbabwe, Åland Islands · posted today ago

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About this role

About Anaconda

Be at the center of AI

Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of the Fortune 500 including Panasonic, AmTrust, Booz Allen Hamilton and over 50 million users rely on the value The Anaconda AI Platform delivers through a centralized approach to sourcing, securing, building, and deploying AI. With 21 billion downloads and growing, Anaconda has established itself as the gold standard for Python, data science, and AI and the enterprise-ready solution of choice for AI innovation. Anaconda is backed by world-class investors including Insight Partners. Learn more at .

Summary:

We're expanding our pre-sales technical team to support growing demand across EMEA. You'll join a small, mostly US-based solutions engineering team as our regional technical expert—partnering with sales to help prospects understand how Anaconda's AI and data science platform solves their toughest problems. With recent acquisitions expanding our product portfolio, you'll play a central role in bringing new capabilities to existing customers and winning new accounts across the region.

What You'll Do:

Lead technical discovery and solution design conversations with prospects and existing customers across EMEA sales cycles
Deliver compelling product demonstrations that connect Anaconda's platform capabilities to specific customer business challenges and technical requirements
Partner with account executives to develop winning strategies for complex deals, providing the technical depth that differentiates Anaconda in competitive evaluations
Create reusable demonstration environments, videos, and technical content that accelerate deal velocity and support regional marketing initiatives
Serve as the voice of EMEA customers to product and engineering teams, sharing feedback that shapes roadmap priorities and identifying opportunities for prototypes or proof-of-concepts
Build and maintain relationships across sales, customer success, support, marketing, and product teams to ensure seamless customer experiences from evaluation through implementation
Navigate multiple concurrent opportunities independently, prioritizing your time across active deals, customer relationship building, and internal collaboration

Your Impact will be measured through:

Technical win rate in EMEA sales opportunities where you provide pre-sales support
Deal size expansion through identification of additional use cases and products that address customer needs
Sales cycle velocity improvements measured through time-to-close on deals with your technical engagement
Regional pipeline development through effective qualification and technical discovery that advances opportunities
Quality of customer handoffs to post-sales teams that set accounts up for successful implementation and expansion

What You Need:

4+ years of customer-facing experience in technical roles such as solutions engineering, sales engineering, technical consulting, or customer success
Hands-on technical experience working with tools and workflows in AI, data science, or data engineering—sufficient to credibly demonstrate technical concepts and understand customer architectures
Based in EMEA with ability to work across regional time zones and travel occasionally to customer sites
Demonstrated ability to translate complex technical capabilities into clear business value for diverse audiences from practitioners to executives
Experience managing multiple stakeholder relationships simultaneously and prioritizing work independently with minimal oversight

What Will Make You Stand Out:

You've worked as a data scientist, ML engineer, or data engineer and deeply understand the day-to-day challenges practitioners face with AI and data workflows
You have prior experience at a fast-paced startup where you adapted quickly to changing priorities and wore multiple hats to drive results
You've worked directly with open-source tools or contributed to open-source communities, giving you insight into how developers evaluate and adopt platforms
You bring experience from consulting or customer-facing roles where you regularly jumped into unfamiliar technical domains and quickly became effective
You have hands-on familiarity with Anaconda's tools or similar platforms in the Python ecosystem for data science and AI development
You embody our values: 'Curious by Default', 'Build Together', 'Own It', and 'Lead with Guts and Heart', and our behaviors: Clarity, Care and Candor
You care deeply about fostering an environment where people of all backgrounds and experiences can flourish
Experience working in a fast-paced startup environment
Experience working in an open-source, AI, or data science-oriented company

Why You'll Like Working Here:

You'll thrive in a high-performance environment where results are recognized and rewarded
Your work directly contributes to shaping the future of data science, machine learning, and AI in the enterprise.
You'll work alongside a collaborative team that values diverse, thoughtful discussion, clarity and candor.
You'll be supported by a culture that puts employees first - with flexible hours, a fully remote setup, and a genuine commitment to your wellbeing and growth.

We accept applications on an ongoing basis.

In addition to base salary, we offer a comprehensive benefits package that includes:

Office setup reimbursement
Monthly productivity stipend
Learning and Development reimbursement
Open vacation policy*
Public holidays
Snake Days-quarterly extra day off company wide

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Anaconda, Inc. (“We”, “Us”) are committed to protecting and respecting your privacy. This Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to Us, will be processed by Us in connection with Our recruitment processes.

By clicking “Submit Application”, you acknowledge you have read our Privacy Policy and that Anaconda can retain your application data for up to 1-year, unless otherwise stated. For the purpose of the General Data Protection Regulation (“GDPR”) ”) and the version of the GDPR retained in UK law (the “UK GDPR”) the Data Controller is Vanessa Macilwaine.