Staff Pre-Sales Solutions Engineer (AI)

Location: Remote (United States); must be based in the United States and able to travel to customer sites and company events as needed.

US base salary: $140,000–$200,000 per year, plus variable commission based on sales performance, equity, and benefits.

Company

hirify.global provides an enterprise AI platform for sourcing, securing, building, and deploying AI with open-source Python and data science technologies.

What you will do

• Own the technical win for strategic, multi-stakeholder enterprise evaluations from discovery and solution design through proof-of-concept and technical close.
• Advise senior technical and business buyers, including CIOs, CDOs, data science and platform engineering leaders, security, and procurement stakeholders.
• Build prototypes, integrations, agentic demos, demo environments, evaluation plans, competitive positioning, and reusable technical assets from scratch.
• Partner with sales directors and VPs on complex deal strategy, win criteria, evaluation standards, and expansion opportunities.
• Identify product gaps, competitive threats, and deal-loss patterns, and drive actions with product, engineering, and marketing.
• Share practices with the SE and GTM organizations, establish responsible AI use in pre-sales, and support successful customer handoffs.

Requirements

• 8+ years of customer-facing technical experience in solutions engineering, sales engineering, solutions architecture, technical consulting, or similar roles, including significant experience leading enterprise technical evaluations.
• Deep hands-on experience with AI, data science, or data engineering tools and workflows sufficient to design solutions, run proof-of-concepts, and work with practitioners and architects.
• Hands-on experience building with agentic AI, including coding agents, LLM APIs, MCP, or similar technologies, with the judgment to explain enterprise use cases.
• Track record of winning complex, multi-buyer enterprise deals against competitors as the technical lead.
• Credibility with executive audiences, including translating technical capabilities into business value and handling senior technical and security objections.
• Experience creating assets, processes, or standards adopted by other SEs and influencing peers without formal authority.
• Must be based in the United States and able to travel to customer sites and company events as needed.

Nice to have

• Hands-on expertise in secure and governed enterprise Python and package management, AI agents and agentic coding, ML orchestration and MLOps, or AI guardrails and LLM application security.
• Experience selling or architecting enterprise software for regulated industries such as financial services or the public sector.
• Experience bringing acquired or newly launched products to market as a technical lead.
• Prior fast-paced startup experience with rapidly changing priorities and multiple responsibilities.
• Experience working directly with open-source tools or contributing to open-source communities.
• Experience in an open-source, AI, or data science-oriented company.
• Alignment with the values “Curious by Default,” “Build Together,” “Own It,” and “Lead with Guts and Heart,” and behaviors of clarity, care, and candor.
• Commitment to fostering an environment where people of all backgrounds and experiences can flourish.

Culture & Benefits

• High-performance environment where results are recognized and rewarded.
• Fully remote setup with flexible hours and an employee-first focus on wellbeing and growth.
• Collaborative environment supporting diverse, thoughtful discussion, clarity, and candor.
• Office setup reimbursement, monthly productivity stipend, and learning and development reimbursement.
• Open vacation policy, public holidays, and quarterly company-wide additional days off.
• Benefits package including equity and variable commission based on sales performance.