Manager, Sales Engineering
Leads a distributed sales engineering organization, building teams, operating models, and go-to-market programs for technical AI and data science products. The role requires proven technical team management, cross-functional leadership, and hands-on sales or solutions engineering experience.
About the job
Responsibilities
- Lead and develop a sales engineering team across the United States and EMEA.
- Hire new team members and establish standards for sales engineering excellence.
- Build sales engineering programs and product lines that enable sales teams to demonstrate the value of Anaconda’s product portfolio.
- Integrate sales engineers with sales pods through aligned structures, collaboration, and shared accountability for deal velocity and value.
- Channel customer-derived technical feedback to product engineering teams.
- Establish technical excellence standards while developing business acumen and customer engagement skills.
- Create sales enablement content, including technical demonstrations, videos, and blog posts.
- Manage cross-functional relationships with sales leadership, marketing, and product engineering.
- Set team direction and operating rhythms that balance technical rigor with high-velocity enterprise sales.
Requirements
- Deep understanding of sales engineering or solutions engineering, ideally involving technical products sold to data science, AI, or engineering buyers.
- Experience managing and developing technical teams and building high-performance cultures.
- Track record of building programs, product lines, or go-to-market motions from scratch.
- Experience managing complex cross-functional relationships between technical and commercial organizations.
- Experience hiring, mentoring, and developing senior engineers.
- Ability to work effectively in fast-paced, high-growth environments with shifting priorities and ambiguity.
Nice-to-haves
- Leadership of sales engineering or solutions engineering teams selling technical products to data science, AI, or engineering buyers.
- Hands-on experience with data science tooling, AI platforms, or developer infrastructure products.
- Experience with cloud, on-premises, and Kubernetes deployment models.
- Commercial experience in customer success or sales.
- Experience at startup, high-growth, open-source, or developer-focused companies.
- Technical credibility with customers and a learn-by-doing approach to team development.
Compensation and Benefits
- Base salary: $149,500–$176,500 annually.
- Annual bonus potential, equity participation, and benefits.
- Flexible vacation policy.
- Medical, dental, and vision insurance.
- Short- and long-term disability coverage.
- Paid parental leave.
- Monthly wellness stipend.
- Employee assistance program and mental health resources.
Skills
Sales Engineering, Solutions Engineering, Sales Enablement, Data Science, Artificial Intelligence, Kubernetes, Cloud Computing, On-Premises Deployment, Developer Infrastructure, Go-to-Market Strategy
Similar jobs
Sales Engineering jobsBuild tailored AI automation solutions, demos, and proofs of concept for prospects and guide technical evaluations through production. The role requires customer-facing technical sales experience, coding ability in Python and JavaScript/TypeScript, and hands-on experience with AI/LLM applications.
Serves as a technical and financial advisor to public sector prospects, designing secure solutions, leading demos and RFPs, and supporting complex sales cycles. Requires 5–7 years in solutions consulting, sales engineering, or solutions architecture, plus ERP, API, compliance, and public sector experience.
Sales Engineer partnering with Account Executives to lead technical discovery, solution design, demos, proofs of concept, and implementation handoffs for enterprise cybersecurity customers. Requires 5+ years of technical sales or solutions engineering experience, strong communication, and modern software architecture knowledge.
Supports sales teams by advising customers, demonstrating identity and access management solutions, and delivering proofs of concept. Requires 5+ years of IAM pre-sales experience, strong cloud and application-security knowledge, and excellent technical communication skills.
Customer-facing solutions engineer who leads technical discovery, demonstrations, proof-of-concepts, and deployments for AI and machine learning customers. Requires 5+ years in solutions or sales engineering and strong experience with enterprise technical selling and ML infrastructure.