Staff Pre-Sales Solutions Engineer

Anaconda, Inc.

United States

Remote

USD 140,000 - 200,000

Full time

46 hours ago
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Benefits offered by this job

Office setup reimbursement
Monthly productivity stipend
Learning and Development reimbursement
Public holidays
Snake Days-quarterly extra day off

Job summary

Anaconda, Inc. is seeking a Staff Pre‑Sales Solutions Engineer to lead complex US enterprise evaluations. You will own the technical win, demonstrate how Anaconda products integrate to drive business outcomes, and craft demos, prototypes, and playbooks for the team.

The role targets a builder who creates solutions from scratch, engages senior buyers, and sets standards for responsible AI use in pre‑sales. This is a fully remote US-based position with travel as needed.

Qualifications

  • 8+ years in customer-facing technical roles such as solutions engineering, sales engineering, solutions architecture, or technical consulting.
  • Hands-on experience with AI, data science, or data engineering workflows.
  • Hands-on experience building with agentic AI (coding agents, LLM APIs, MCP, or similar).
  • Proven track record winning complex, multi-buyer enterprise deals with you as the technical lead.
  • Credibility with executive audiences, translating technical capability into business value and handling objections.

Responsibilities

  • Own the technical win on strategic enterprise evaluations from discovery to proof-of-concept and close.
  • Engage senior buyers (CIOs, CDOs, data science heads, security and procurement) and map Anaconda products to business value.
  • Demonstrate how Anaconda products work together to enable vendor-neutral AI adoption.
  • Build demos, integrations, and prototypes; convert them into repeatable assets for the team.
  • Partner with sales leaders on deal strategy and define win criteria across segments.
  • Create demo environments, evaluation plans, and competitive positioning for GTM alignment.

Skills

Enterprise sales experience
AI/ML technical expertise
Agentic AI / coding agents
Executive communication

Job description

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 https://www.anaconda.com .

Summary:

We’re looking for a Staff Pre‑Sales Solutions Engineer: a senior individual contributor who leads by example on our largest and most complex US deals. Anaconda is building a vendor‑neutral way for enterprises to adopt AI at scale, and recent acquisitions have expanded our capabilities. You’ll own the technical win, show senior technical and business buyers how our products work together, and build the demos, prototypes, and playbooks the rest of the team learns from. This role is for a builder who likes creating solutions from scratch.

What You’ll Do:
  • 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
Your Impact will be measured through:
  • Technical win rate on strategic and enterprise opportunities where you own the technical evaluation
  • Deal size expansion through identification of additional use cases, products, and buyers
  • Sales cycle velocity on complex deals with your technical engagement
  • Adoption of the demo assets, evaluation plans, and playbooks you create across the SE team
  • Product and go‑to‑market changes driven by the customer and competitive insight you bring forward
  • Quality of customer handoffs to post‑sales teams that set accounts up for successful implementation and expansion
What You Need:
  • 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
What Will Make You Stand Out:
  • 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
  • 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 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.

The application deadline for this role is 12/27/2026; applicants will be reviewed on an ongoing basis until the role is filled.

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

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

The US base salary range for this role is $140,000-$200,000 + variable commission structure based on sales performance + equity + benefits. Our salary ranges are determined by role, level, and location.

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.

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