Note: The job is a remote job and is open to candidates in USA. Anaconda is seeking a Staff Pre-Sales Solutions Engineer to lead technical evaluations for its largest and most complex enterprise deals. The role owns technical wins, demonstrates how Anaconda products work together, and creates prototypes, demos, and playbooks for enterprise AI adoption.

Responsibilities

• Own the technical win on strategic, multi-stakeholder enterprise evaluations, from discovery and solution design through proof-of-concept and technical close
• Hold the room with senior buyers (CIOs, CDOs, heads of data science and platform engineering, security and procurement) and connect Anaconda’s products to their business outcomes and architecture
• Tell the combined Anaconda story, showing how our products work together to give enterprises a vendor-neutral way to adopt AI
• Build working prototypes, integrations, and agentic demos from scratch to prove out new use cases, and turn the best of them into reusable assets
• Partner with sales directors and VPs on deal strategy for the most complex and competitive opportunities, and help define win criteria and evaluation standards across segments
• Build the demo environments, evaluation plans, competitive positioning, and technical content the wider GTM team adopts, and get yourself expert on new and acquired products quickly and help bring the team along
• Spot and name problems leadership hasn’t framed yet (product gaps, competitive threats, patterns in why deals are lost) and drive them to a commitment with product, engineering, and marketing
• Lead by example on your own deals, share what’s working in deal reviews and joint calls, and be the person other SEs and members of the GTM org turn to when an evaluation gets hard
• Set the standard for responsible, effective use of AI in pre-sales work, including knowing when not to use it

Skills

• 8+ years in customer-facing experience in technical roles such as solutions engineering, sales engineering, solutions architecture, or technical consulting, including significant time leading enterprise technical evaluations
• Deep hands-on experience with tools and workflows in AI, data science, or data engineering, enough to design solutions, run proof-of-concepts, and go deep with practitioners and architects
• Hands-on experience building with agentic AI (coding agents, LLM APIs, MCP, or similar), and the judgment to explain where it fits in an enterprise
• A track record of winning complex, multi-buyer enterprise deals against competitors, with you as the technical lead
• Credibility with executive audiences, including translating technical capability into business value and handling senior technical and security objections
• Experience building assets, processes, or standards that other SEs adopted, and influencing peers without formal authority
• Based in the United States
• With the ability to travel to customer sites and company events as needed
• You have deep, hands-on knowledge of one or more of the areas Anaconda's products cover, ideally from having worked in them as a practitioner:
• Secure, governed open-source Python and package management for the enterprise
• AI agents and agentic coding, including governance, cost, and privacy at scale
• ML orchestration and MLOps: building, scaling, and deploying ML and AI workflows in production
• AI guardrails and security for LLM and agent applications
• You've sold or architected enterprise software in regulated industries such as financial services or the public sector
• You've helped bring acquired or newly launched products to market as a technical lead
• 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 tools
• Experience working in an open-source, AI, or data science-oriented company

Benefits

• Flexible hours
• Fully remote setup
• Office setup reimbursement
• Monthly productivity stipend
• Learning and Development reimbursement
• Open vacation policy*
• Public holidays
• Snake Days—quarterly extra day off company wide
• Variable commission structure based on sales performance
• Equity

Company Overview

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