Senior Product Manager, AI jobs in United States
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FloQast · 1 month ago

Senior Product Manager, AI

FloQast is seeking a Senior AI Product Manager for their Core AI Platform, pivotal in driving the company's AI transformation. The role involves owning the vision, strategy, and roadmap for the AI platform, collaborating with product and engineering teams to build AI capabilities that enhance enterprise accounting workflows.

AccountingB2BEnterprise SoftwareSaaS
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Own the vision, strategy, and roadmap for FloQast's Core AI Platform, establishing it as the foundational layer for all AI initiatives across the company
Partner closely with senior Product and Engineering leadership to align the platform roadmap with company-wide AI goals and emerging customer needs
Identify opportunities to consolidate redundant AI work (e.g., Document parsing, RAG implementations) into shared platform capabilities
Serve as the AI infrastructure partner for product teams across FloQast, understanding their AI use cases and translating them into platform requirements
Conduct discovery sessions with internal teams to identify common AI patterns, pain points, and opportunities for shared solutions
Build a platform that enables non-AI engineers to leverage sophisticated AI capabilities through intuitive APIs and templates
Create the 'paved road' for AI development—making it easier to do AI the right way than to build custom solutions
Design and prioritize platform components including RAG frameworks, agent orchestration systems, model evaluation pipelines, state management, and monitoring tools
Ensure the platform supports enterprise-grade requirements: audibility, explainability, reliability, and security
Define success metrics for platform adoption and AI feature quality across the organization
Bring deep technical understanding of AI systems—their capabilities, limitations, and operational challenges—to guide platform architecture decisions
Establish evaluation frameworks and quality standards for AI features built on the platform
Partner with Engineering to make sound long-term technical investments while delivering near-term value
Champion AI best practices including prompt engineering, model evaluation, human-in-the-loop workflows, and responsible AI principles
Act as the primary evangelist for the Core AI Platform, building internal awareness and driving adoption across product teams
Develop documentation, tutorials, and enablement materials that make the platform accessible to diverse technical audiences
Measure and communicate platform impact through metrics like reduction in time-to-market for AI features, consistency of AI quality, and engineering efficiency gains

Qualification

AI/ML systemsB2B SaaS product managementAI infrastructure challengesAPI design principlesLLMsRAG architecturesPrompt engineeringModel evaluationAI development frameworksData pipelinesTechnical architectureSystem design patternsEvaluation methodologiesEnterprise accountingWorkflow automation

Required

3+ years of hands-on experience with AI/ML systems, including: Production experience with LLMs, RAG architectures, or agentic AI systems
Understanding of prompt engineering, model evaluation, and AI system observability
Knowledge of AI infrastructure challenges: latency, cost optimization, reliability, and quality control
Familiarity with AI development frameworks and tools (LangChain, LlamaIndex, or similar)
5+ years in B2B SaaS product management, with at least 2 years building developer-facing platforms, infrastructure products, or internal tooling
Experience defining platform abstractions that balance flexibility and ease-of-use
Track record of driving adoption of internal platforms across multiple teams, including partnering on product requirements discovery
Understanding of API design principles and developer experience considerations
Ability to engage deeply with engineering teams on technical architecture, make informed tradeoffs, and guide complex technical decisions
Comfort reading code and understanding system design patterns
Experience with data pipelines, APIs, and enterprise integration patterns
Understanding of evaluation methodologies for AI systems (deterministic vs. non-deterministic approaches)
Proven ability to identify high-impact opportunities, prioritize ruthlessly, and build roadmaps that align platform capabilities with business outcomes
Experience balancing competing priorities from multiple internal stakeholders
Skill in 'T-shirt sizing' technical initiatives and communicating tradeoffs

Preferred

Experience with enterprise accounting, financial close processes, ERP systems (SAP, Oracle, NetSuite, Workday), or accounting platforms (BlackLine, HighRadius, FloQast)
Background in enterprise-scale data processing, document intelligence, workflow automation, or low/no code platforms
Experience building AI products in regulated or audit-intensive industries
Prior experience as a technical founder, engineer, or solutions architect transitioning to product management
Familiarity with agentic AI architectures, multi-step reasoning systems, or compound AI patterns

Benefits

Medical
Dental
Vision
Family Forming benefits
Life & Disability Insurance
Unlimited Vacation

Company

FloQast is a financial close management software designed to streamline the month-end close process for accounting teams.

H1B Sponsorship

FloQast has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (1)

Funding

Current Stage
Late Stage
Total Funding
$302.85M
Key Investors
ICONIQ GrowthMeritech Capital PartnersNorwest
2024-04-10Series E· $100M
2021-07-21Series D· $110M
2020-01-21Series C· $40M

Leadership Team

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Mike Whitmire
Co-Founder and CEO
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Cullen Zandstra
Co-Founder & CTO
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Company data provided by crunchbase