Head of Solutions Engineering

Reindeer • New York, NY

1d

About The Position

This hands-on, customer-facing leadership role builds and leads the post-sales Solutions Engineering organization for an early-stage agentic AI platform company. Reporting to the COO, the role owns technical execution from customer kickoff through solution design, integration, go-live, optimization, and expansion, and leads a growing team across the US, Europe, and MEA.

The team embeds with customer operations, business functions, and IT to solve technical and workflow challenges and build production AI agents that customers can trust and scale. The role turns complex enterprise AI programs into repeatable operational outcomes, with accountability for delivery quality, speed to value, adoption, and measurable customer impact.

The Head of Solutions Engineering leads enterprise delivery and solution architecture, sets standards for agent reliability and production operations, partners with Account Management and Customer Success on adoption and expansion, and recruits and develops the team. The role also serves as senior technical sponsor for strategic customers, brings field challenges to Product and R&D, and establishes enablement and quality standards for implementation partners.

Requirements

• At least 7 years in customer-facing technical roles.
• At least 5 years building or leading post-sales Solutions Engineering, Forward Deployed Engineering, technical Professional Services, or similar teams.
• Hands-on skills in Python and/or JavaScript/TypeScript, APIs, cloud environments, enterprise architecture, and system integration.
• Experience delivering automation, agentic AI, or LLM systems into production, including agent orchestration, evaluations, monitoring, failure modes, and human-in-the-loop workflows.
• Track record navigating enterprise complexity, including security and compliance, data readiness, cross-functional dependencies, change management, and operational rollout.
• Executive presence and excellent communication skills, with the ability to translate between business outcomes and technical details.
• Builder’s mindset and judgment to balance speed with production quality in an early-stage company.

Nice To Haves

• Exposure to finance, procurement, supply chain, or enterprise operations.

Responsibilities

• Own post-sales solution delivery from implementation planning and paid pilots through production rollout, stabilization, and continuous optimization.
• Translate complex operational processes into technical plans, success criteria, milestones, and production-ready architectures across business units and systems.
• Establish testing, release management, monitoring, incident response, and escalation practices for business-critical AI workflows.
• Lead architecture and integrations with enterprise platforms and customer data environments.
• Set standards for AI agent quality, including evaluations, accuracy, observability, exception handling, human oversight, security, and ongoing performance improvement.
• Diagnose model behavior, context issues, APIs, data pipelines, and complex integration failures alongside the team when needed.
• Partner with Account Management and Customer Success to grow agent utilization, operational adoption, measurable customer value, and multi-use-case deployment.
• Enable customer technical teams and builders to scale through managed, hybrid, and self-service delivery models.
• Turn early customer wins into reusable solutions and repeatable patterns.
• Recruit, coach, and scale post-sales Solutions Engineers, while fostering technical rigor, ownership, urgency, and customer empathy.
• Build playbooks, reference architectures, implementation standards, delivery metrics, and team operating rhythms.
• Manage capacity, priorities, and senior technical coverage across strategic enterprise accounts, and develop future leaders.
• Serve as senior technical sponsor for strategic enterprise customers and build trust with IT, operations, and executive stakeholders.
• Translate recurring field challenges into actionable priorities for Product and R&D.
• Establish technical enablement and quality standards for implementation partners.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed