Product Manager, Client Solutions

FactualIQ LLC; Tohatchi (NM); Hybrid; USD 110,000 - 170,000; Full time

Job summary

FactualIQ LLC is seeking a Product Manager to design, develop, and deliver AI-powered workflows built on our Decision Engine. You’ll translate complex decision and data requirements into software specs, drive workflow design, and ensure secure, reliable integration into client systems.

You’ll work hybrid with engineering, data science, and client success teams to scale enterprise AI solution delivery. Expect ownership from discovery through production, plus ongoing enablement for clients.

Qualifications

• Bachelor’s or higher degree in Information Systems, Computer Science, Engineering, Business, or related field (or equivalent practical experience).
• 5+ years of experience in software product management, solutions engineering, consulting, or technical client-facing roles, with demonstrated ownership of client engagements from discovery through delivery.
• Experience with AI-powered workflows and familiarity with multi-agent architectures, RAG pipelines, or model orchestration, including understanding of how these components integrate into enterprise decision-making systems.
• Demonstrated experience translating business workflows into product requirements, configuration specifications, and implementation plans.
• Hands-on experience with AI/ML technologies including ML models, LLMs, RAG, and agentic systems, with familiarity with data pipelines and API-based integrations.
• Experience managing delivery timelines, cross-functional coordination, and stakeholder alignment across technical and business teams.
• Experience working in enterprise environments with awareness of complex stakeholder structures, governance requirements, and procurement processes.
• Experience collaborating with technical teams to deliver configurable software features and validate solutions against client requirements.
• Analytical skills to define KPIs, measure adoption, and interpret product usage or telemetry data.
• Excellent communication skills, including the ability to present architectures, requirements, and solution designs to technical and non-technical stakeholders.

Responsibilities

• Engage with clients to design AI-powered workflows and translate needs into specs.
• Define requirements and configure solutions using FactualIQ’s engine.
• Ensure security, reliability, and production readiness of deployments.
• Collaborate with data science, engineering, and client success teams.
• Capture patterns and contribute to reusable knowledge base for future engagements.

Skills

Product management

AI workflows

Stakeholder management

Requirements translation

APIs & integration

Communication skills

Education

Bachelor’s degree or higher in IS/CS/Engineering/Business

Tools

Python

SQL

LangChain

Vector databases

Prompt engineering

Job description

Design and deliver AI-powered workflows on FactualIQ’s enterprise Decision Engine. Translate complex client needs into scalable solutions, shape product strategy, and drive hands-on delivery of intelligent systems that accelerate decision-making for enterprise clients.

About The Role

As a Product Manager, you will work directly with clients to design, develop, and deliver AI-powered workflows built on FactualIQ’s Decision Engine. You will translate complex decision and data requirements into software product specifications, drive workflow design, configure tools and components, and ensure solutions integrate securely and reliably into clients’ strategic decision-making systems.

This is a hybrid product management and solutions delivery role where you’ll own both the strategic shaping of client solutions and the hands‑on configuration and validation work required to bring them to production. You’ll work alongside engineering, data science, and client success teams, building expertise in enterprise AI solution delivery as FactualIQ scales its client base and solution portfolio.

What You’ll Do

Client Engagement & Discovery

• Participate in early-stage client conversations by contributing to solution outlines, scoping guidance, and technical input during pre-sales activities.
• Partner directly with clients to identify high-value use cases, define scope, and shape phased solutions aligned to FactualIQ’s platform capabilities.
• Represent the voice of users by grounding solution design in real decision workflows and client systems to promote successful long-term adoption.
• Continually work with clients to ensure solutions achieve their goals and drive measurable value over time.

Solution Design & Configuration

• Define requirements that translate use cases into actionable solution configurations based on FactualIQ’s engine and architecture, including tools, agents, and workflows.
• Incorporate user permissioning, data security, data confidentiality, and process auditability into solution designs to ensure transparency and enterprise-level compliance.
• Test and validate configured solutions against client requirements, ensuring quality assurance standards are met before deployment to production environments.
• Ensure solutions meet enterprise standards for reliability, performance, monitoring, and operational readiness at scale.

Cross-Team Collaboration & Delivery

• Collaborate with data science and engineering teams to align requirements with platform capabilities, feature roadmaps, and implementation standards.
• Coordinate release planning and delivery, ensuring client alignment on timelines, dependencies, and expectations.
• Capture and document solution patterns, client playbooks, and lessons learned to build FactualIQ’s reusable knowledge base for future engagements.
• Provide structured feedback from client engagements to product and platform teams to inform roadmap priorities and capability gaps.
• Support post-deployment client enablement including onboarding, training, and operational handoff to ensure sustained adoption.

What You’ll Bring

• Bachelor’s or higher degree in Information Systems, Computer Science, Engineering, Business, or related field (or equivalent practical experience).
• 5+ years of experience in software product management, solutions engineering, consulting, or technical client-facing roles, with demonstrated ownership of client engagements from discovery through delivery.
• Experience with AI-powered workflows and familiarity with multi-agent architectures, RAG pipelines, or model orchestration, including understanding of how these components integrate into enterprise decision-making systems.
• Demonstrated experience translating business workflows into product requirements, configuration specifications, and implementation plans.
• Hands-on experience with AI/ML technologies including ML models, LLMs, RAG, and agentic systems, with familiarity with data pipelines and API-based integrations.
• Experience managing delivery timelines, cross-functional coordination, and stakeholder alignment across technical and business teams.
• Experience working in enterprise environments with awareness of complex stakeholder structures, governance requirements, and procurement processes.
• Experience collaborating with technical teams to deliver configurable software features and validate solutions against client requirements.
• Analytical skills to define KPIs, measure adoption, and interpret product usage or telemetry data.
• Excellent communication skills, including the ability to present architectures, requirements, and solution designs to technical and non-technical stakeholders.

What You Might Bring

• Familiarity with cloud platforms (AWS, GCP, Azure) and enterprise data ecosystems.
• Experience in B2B client-facing roles supporting discovery and solution delivery across multiple concurrent engagements.
• Experience defining reusable solution patterns, templates, or integration frameworks that accelerate future client deployments.
• Horizontal expertise across industries with the ability to identify cross-sector patterns and apply platform capabilities to diverse business contexts.
• Hands-on experience with Python, SQL, and AI/ML tooling (e.g., LangChain, vector databases, prompt engineering frameworks) for prototyping and solution validation.
• Experience creating client-facing content such as case studies, whitepapers, or solution presentations that communicate technical value to non-technical audiences.
• Experience training or onboarding enterprise clients on technical platforms.
• Contributions to thought leadership, community involvement, or published work in AI, product management, or enterprise technology topics.

What WE VALUE

• A growth mindset, building on the recognition that a good professional is always learning.
• Creative, entrepreneurial flexibility to try innovative approaches to solving problems, coupled with the resilience to recognize mistakes quickly, adapt and correct course as needed to achieve success.
• Speed to solutions, with rapid, well-planned iterations.
• Design-forward approaches to building technology products, coupled with a test-heavy technique to ensure that both the problem to be solved and the solution context are clear and optimal before development begins.
• Transparent, frequent and constructive communication skills and practices.
• Low-ego collaboration, where feedback is valued, everyone’s voice is heard, debates and disagreements are used for the team’s benefit, and commitment matters.
• Mission alignment and care for delivering highest-standard quality to support our clients’ success.

Travel Requirements

This role requires periodic travel within the United States and Canada based on client needs and project phases, typically less than 25% annually.

Reporting

The role currently reports to FactualIQ’s Chief Strategy Officer. As we build out our client solutions team, the role will ultimately report to a Director of Client Solutions or VP of Product.

Career progression from this role will lead to a Senior Product Manager – Client AI Solutions position.