Manager, Sales Engineering
Budget / Salary$149,500–176,500
TypeFull-time job
LocationUnited States
Posted4 hours ago
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:
Anaconda recently acquired three new products that expand our portfolio significantly, and we're consolidating all pre-sales engineering under unified leadership for the first time. We're restructuring our sales engineering team into pods aligned with our sales organization, and we need a leader who can build the operating model from the ground up. You'll manage our growing team of sales engineers, set new standards for excellence, and become the primary bridge between our sales organization and technical solutions team during this pivotal growth phase.
What You'll Do:
Lead and develop a team of sales engineers across the US and EMEA, hiring multiple new team members and establishing what great looks like
Build new sales engineering programs and product lines from scratch that enable our sales organization to demonstrate the value of our expanded product portfolio
Foster deep integration with sales pods through aligned team structure, regular collaboration, and shared accountability for deal velocity and value
Channel technical feedback from customer conversations to product engineering teams, ensuring field insights shape product direction
Establish standards for technical excellence across the team while up-leveling business acumen and customer engagement skills
Create sales enablement content including technical demonstrations, videos, and blog posts that help both sales teams and customers understand our platform
Manage cross-functional relationships with sales leadership, marketing, and product engineering to ensure alignment on priorities and execution
Set team direction and operating rhythms that balance technical rigor with the speed required to support high-velocity enterprise sales
Your Impact will be measured through:
Deal velocity and close rates achieved by your team in partnership with aligned sales pods
Average deal values and expansion of technical scope in customer engagements
Quality of relationships between sales engineers and sales leaders, measured through regular feedback and joint planning
Speed and effectiveness of new product line integration into sales engineering motion
Team retention and development of high performers into senior technical and leadership roles
What You Need:
Deep understanding of the sales engineer or solutions engineer role from having done it yourself, ideally selling technical products to data science, AI, or engineering buyers
Proven experience managing and developing technical teams with demonstrated success building high-performance cultures
Track record building new programs, product lines, or go-to-market motions from scratch rather than maintaining existing operations
Experience managing complex cross-functional relationships, particularly between technical and commercial organizations
History of hiring, mentoring, and developing senior engineers with focus on both technical excellence and business skills
Demonstrated ability to operate in fast-paced, high-growth environments where priorities shift and ambiguity is common
What Will Make You Stand Out:
You've led sales engineering or solutions engineering teams at companies selling technical products to data science, AI, or engineering buyers
You have hands-on experience with data science tooling, AI platforms, or developer infrastructure products similar to our portfolio
You've worked in environments that span cloud, on-premises, and Kubernetes deployment models
You bring commercial experience from customer success or sales roles that helps you bridge technical and business perspectives
You've thrived in startup or high-growth environments where building quickly and iterating based on feedback is the norm
You've worked at open-source companies or developer-focused platforms where technical credibility with customers is essential
You believe in a learn-by-doing approach to development, supporting your team as they take ownership of challenging customer situations
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
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.
The application deadline for this role is 11/03/2026;applicants will be reviewed on an ongoing basis until the role is filled.
The base salary range for this role is $149,500 - $176,500, along with annual bonus potential, equity participation, and benefits.
Our salary ranges are determined by role, level, and location. Within the range, individual compensation is determined by various factors, including work location, job-related skills, experience, and relevant education or training. Your recruiter will provide more specific details on the salary range for your preferred location during the hiring process.
In addition to base salary, we offer a comprehensive benefits package that includes:
Flexible Vacation Policy
Medical, Dental, and Vision Insurance
Short Term and Long Term Disability
Paid Parental Leave
Monthly Wellness Stipend
Employee Assistance Program and Mental Health Resources
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.
Anaconda is an EEO/AA employer M/F/V/D.
Originally posted on Himalayas
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:
Anaconda recently acquired three new products that expand our portfolio significantly, and we're consolidating all pre-sales engineering under unified leadership for the first time. We're restructuring our sales engineering team into pods aligned with our sales organization, and we need a leader who can build the operating model from the ground up. You'll manage our growing team of sales engineers, set new standards for excellence, and become the primary bridge between our sales organization and technical solutions team during this pivotal growth phase.
What You'll Do:
Lead and develop a team of sales engineers across the US and EMEA, hiring multiple new team members and establishing what great looks like
Build new sales engineering programs and product lines from scratch that enable our sales organization to demonstrate the value of our expanded product portfolio
Foster deep integration with sales pods through aligned team structure, regular collaboration, and shared accountability for deal velocity and value
Channel technical feedback from customer conversations to product engineering teams, ensuring field insights shape product direction
Establish standards for technical excellence across the team while up-leveling business acumen and customer engagement skills
Create sales enablement content including technical demonstrations, videos, and blog posts that help both sales teams and customers understand our platform
Manage cross-functional relationships with sales leadership, marketing, and product engineering to ensure alignment on priorities and execution
Set team direction and operating rhythms that balance technical rigor with the speed required to support high-velocity enterprise sales
Your Impact will be measured through:
Deal velocity and close rates achieved by your team in partnership with aligned sales pods
Average deal values and expansion of technical scope in customer engagements
Quality of relationships between sales engineers and sales leaders, measured through regular feedback and joint planning
Speed and effectiveness of new product line integration into sales engineering motion
Team retention and development of high performers into senior technical and leadership roles
What You Need:
Deep understanding of the sales engineer or solutions engineer role from having done it yourself, ideally selling technical products to data science, AI, or engineering buyers
Proven experience managing and developing technical teams with demonstrated success building high-performance cultures
Track record building new programs, product lines, or go-to-market motions from scratch rather than maintaining existing operations
Experience managing complex cross-functional relationships, particularly between technical and commercial organizations
History of hiring, mentoring, and developing senior engineers with focus on both technical excellence and business skills
Demonstrated ability to operate in fast-paced, high-growth environments where priorities shift and ambiguity is common
What Will Make You Stand Out:
You've led sales engineering or solutions engineering teams at companies selling technical products to data science, AI, or engineering buyers
You have hands-on experience with data science tooling, AI platforms, or developer infrastructure products similar to our portfolio
You've worked in environments that span cloud, on-premises, and Kubernetes deployment models
You bring commercial experience from customer success or sales roles that helps you bridge technical and business perspectives
You've thrived in startup or high-growth environments where building quickly and iterating based on feedback is the norm
You've worked at open-source companies or developer-focused platforms where technical credibility with customers is essential
You believe in a learn-by-doing approach to development, supporting your team as they take ownership of challenging customer situations
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
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.
The application deadline for this role is 11/03/2026;applicants will be reviewed on an ongoing basis until the role is filled.
The base salary range for this role is $149,500 - $176,500, along with annual bonus potential, equity participation, and benefits.
Our salary ranges are determined by role, level, and location. Within the range, individual compensation is determined by various factors, including work location, job-related skills, experience, and relevant education or training. Your recruiter will provide more specific details on the salary range for your preferred location during the hiring process.
In addition to base salary, we offer a comprehensive benefits package that includes:
Flexible Vacation Policy
Medical, Dental, and Vision Insurance
Short Term and Long Term Disability
Paid Parental Leave
Monthly Wellness Stipend
Employee Assistance Program and Mental Health Resources
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.
Anaconda is an EEO/AA employer M/F/V/D.
Originally posted on Himalayas
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