Manager, AI Solutions Engineer (AI)

TL;DR

Manager, AI Solutions Engineer (AI): Building and leading a presales technical team within the Data-as-a-Service organization with an accent on scoping training data needs, designing RL environments, and developing evaluation frameworks. Focus on translating customer research objectives into actionable technical plans and setting the technical bar for spec quality.

Location: New York City, NY (Hybrid); Redwood City, CA (Hybrid); San Francisco, CA (Hybrid); US (Remote)

Salary: $190,000 - $260,000 USD

Company

hirify.global helps enterprises transform expert knowledge into specialized AI at scale.

What you will do

• Recruit, hire, and develop AI Solutions Engineers, coaching the team on technical quality, customer engagement, and career growth.
• Set and maintain the technical bar for specifications, evaluation frameworks, and customer deliverables.
• Own SE capacity planning and account coverage; partner with AE leadership on deal strategy, engagement prioritization, and pipeline forecasting.
• Establish team processes and playbooks for discovery, spec development, and knowledge sharing.
• Lead technical conversations on select strategic accounts, including scoping, solution design, and partnership with customer research teams.
• Serve as escalation point for technically complex or high-stakes customer situations.

Requirements

• 5+ years of experience in applied ML, AI solutions engineering, technical presales, or research-intensive customer-facing roles.
• 2+ years managing or leading technical individual contributors, ideally in a presales or solutions engineering org.
• Strong expertise in frontier AI concepts including LLMs, training data pipelines, evaluation methodologies, post-training techniques (RLHF, DPO, RLAIF), and domain areas such as coding agents, reasoning, multimodal models, or RL environments.
• Experience operating against revenue or pipeline goals in a GTM organization.
• Excellent communication skills, able to coach a team, partner with sales leadership, and engage credibly with customer researchers.
• B.S. in Computer Science, Machine Learning, or related field.

Nice to have

• Track record of hiring and developing technical talent.
• Experience operating against revenue or pipeline goals in a GTM organization.
• Ability to work in a fast-moving environment, comfortable with ambiguity and rapid iteration.

Culture & Benefits

• Unique combination of stability and the excitement of high growth.
• Meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success.
• Fully supported in building your career in an environment designed for growth, learning, and shared success.