Sales Engineer III, Partnerships
Remote (United States)
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Anaconda
Democratize AI innovation with the world’s most trusted open ecosystem for data science and AI development.About Anaconda
Be at the center of AI
With more than 45 million users, Anaconda is the most popular operating system for AI providing access to the foundational open-source Python packages used in modern AI, data science, and machine learning through a seamless platform. We pioneered the use of Python for data science, championed its vibrant community, and continue to steward open-source projects that make tomorrow’s innovations possible. Our enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness the power of open source for competitive advantage, groundbreaking research, and a better world. To learn more visit https://www.anaconda.com.
Here is why people love most about working here: We’re not just a company, we’re part of a movement. Our dedicated employees and user community are democratizing data science and creating and promoting open-source technologies for a better world, and our commercial offerings make it possible for enterprise users to leverage the most innovative output from open source in a secure, governed way.
Anaconda is seeking a talented Sales Engineer III, Partnerships to join our rapidly growing company. This is an excellent opportunity for you to leverage your experience and skills and apply it to the world of data science, artificial intelligence, and machine learning.
What You’ll Do:
- Act as the technical lead in partnership engagements, supporting business development and technical integration efforts.
- Support the partnership team in their corresponding time zones, including APAC or the UK, through email and virtual calls to ensure seamless collaboration and responsiveness to partner needs.
- Provide custom demonstrations, technical presentations, and proofs of concept for partners, illustrating the value of Anaconda’s solutions.
- Collaborate with the partnerships team to identify and address technical needs, aligning our solutions with partner requirements.
- Lead technical discussions to assess partners' technical needs, providing insight and guidance on Anaconda’s platform and architecture.
- Map partner requirements to our current and future offerings, and share market insights that could inform product development.
- Respond to technical inquiries, including RFPs, and ensure product compatibility and integration with partners.
- Stay up to date on product releases, feature updates, and new developments in AI and data science to best support partner needs.
- Document and communicate product feedback and requests from the field to the product and engineering teams.
What You Need:
- Excellent Communication skills (verbal and written)
- Ability to conduct thorough literature reviews and stay updated on the latest trends, technologies, and advancements in embedded systems.
- Skilled in analyzing research data, synthesizing findings, and identifying trends that can inform product development or scientific insights.
- Ability to read code and translate data: Must be able to interpret code and convert data into actionable insights for both technical and non-technical stakeholders.
- Ability to perform in an ambiguous and fast-paced environment
- Sense of urgency and tenacity
- Excellent communication skills
- Proficient understanding of the complex sales process
- Must be proficient in 3 of the following:
- Proficient understanding of Python
- Proficient understanding of data science;
- Proficient understanding of SDLC
- Proficient understanding of big data systems
- Proficient understanding of Enterprise IT
- Proficient understanding of Cloud Native architecture/Kubernetes
- Team attitude: “I am not done until WE are done”
- Embody our core values:
- Great People
- Great Product
- Great Performance
- Care deeply about fostering an environment where people of all backgrounds and experiences can flourish
What Will Make You Stand Out:
- 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:
- Unique opportunity to translate strong open-source adoption and user enthusiasm into commercial product growth
- Dynamic company that rewards high-performers
- On the cutting edge of enterprise application of data science, machine learning, and AI
- Collaborative team environment that values multiple perspectives and clear thinking
- Employees-first culture
- Flexible working hours
- Medical*, Dental*, Vision*, HSA*, Life* and 401K*
- Paid parental leave - both parents
- Monthly productivity stipend
- Pre-IPO stock options
- Open vacation policy*
- Quarterly Snake days (company-wide bonus day off)
- 100% remote
*FTE employees based on your region
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 Sydney Artt.
This job post expires 30 days from its original post date
Anaconda is an EEO/AA employer M/F/V/D.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Anaconda Architecture Big Data Engineering Kubernetes Machine Learning Open Source Privacy Python Research SDLC
Perks/benefits: Career development Equity / stock options Flex hours Flex vacation Health care Home office stipend Medical leave Parental leave Salary bonus Startup environment
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