Product Leader

Kigo, an Augeo company, is a modern loyalty and rewards platform that helps brands build deeper, more meaningful relationships with their customers. Built for today's digital-native consumer, Kigo leverages AI-driven insights, automation, and personalization to deliver relevant offers and experiences across the full loyalty lifecycle, from earn to redemption. With access to one of the industry's largest and most flexible reward marketplaces, the platform enables brands to drive customer acquisition, incremental sales, and long-term advocacy. Kigo is a subsidiary of Augeo, a global leader in data-driven loyalty programs with four decades of experience in the industry, and is headquartered in Saint Paul, Minnesota. Summary We're seeking a highly collaborative, technically experienced Senior Product Manager to lead the strategy and execution of key product initiatives using cutting‑edge AI‑driven development tools including Claude Code. You'll own critical product areas within our headless loyalty and advertising platform, building highly configurable and extensible products that integrate seamlessly with complex enterprise environments owned by clients and partners. This role requires knowledge of and experience with AI systems including foundation models, AI agents for reasoning and orchestration, ML models for predictive analytics, personalization and optimization, API‑first product design, and a passion for working across functional domains including sales, marketing, design, and engineering to deliver exceptional outcomes Key Responsibilities Define and execute product strategy for consumer‑facing products supported by headless platform capabilities, leveraging AI‑driven development tools and agents to accelerate enterprise‑ready solutions. Set priorities and direction for a team to build highly configurable products to support our offers and rewards marketplace and that also integrate with complex client environments using Kigo's agents, APIs and SDKs. Write detailed, specific product requirements for API‑first features optimized for AI coding tools to generate enterprise‑grade, production‑ready code. Design and drive delivery of AI‑powered features leveraging foundation models, AI agents for reasoning and orchestration, and purpose‑built ML models for predictive analytics, personalization, and optimization. Partner closely with engineering and data science teams to ensure AI‑generated implementations meet enterprise scalability, security, and integration requirements. Conduct enterprise client research and translate insights into precise technical specifications, working across traditional boundaries from sales calls to engineering architecture decisions. Drive agile development processes enhanced by AI tooling, with emphasis on backwards compatibility, versioning, and enterprise deployment workflows. What Sets You Up for Success Required Qualifications 5‑7+ years of product management experience with technical background as a product manager, product designer, or software engineer and deep understanding of API‑first and headless architecture patterns Hands‑on experience with Claude Code and other AI‑powered development tools for building enterprise‑grade product features that integrate with complex environments Background in rapid prototyping and AI‑assisted product development for configurable, multi‑tenant enterprise environments with knowledge of AI ethics and responsible AI practices Knowledge of AI systems including foundation models, AI agents for reasoning and orchestration, and ML models for predictive analytics, personalization, and optimization in production environments Proven track record of launching successful B2B SaaS or platform products with ability to write detailed technical requirements for APIs, SDKs, and AI/ML features Highly collaborative mindset with passion for working across functional domains (sales, marketing, design, engineering) and excellent cross‑functional stakeholder management skills Understanding of enterprise software environments including authentication, security, compliance, integration patterns, and modern development stacks Strong analytical skills with product analytics tools and data‑driven decision‑making approach using agile/scrum methodologies enhanced by AI‑assisted workflows Preferred Qualifications Advanced proficiency with AI development tools including Claude Code and deep knowledge of foundation model capabilities, AI agent frameworks, and productizing LLM features for reasoning and orchestration Experience building headless platforms, APIs, or SDK products with complex enterprise integration requirements and understanding of MLOps, model versioning, and A/B testing Track record of successful cross‑functional collaboration in matrix organizations, leading multi‑departmental initiatives and working directly with clients alongside sales teams Experience with enterprise integration patterns (webhooks, OAuth, SAML, API versioning) and familiarity with automated testing, CI/CD pipelines, and production monitoring tools Experience in loyalty, rewards, advertising technology, or marketplace platforms with understanding of privacy regulations and data governance Track record of managing products with significant revenue impact ($10M+ ARR) and previous experience mentoring teams on AI‑assisted product development workflows Equity participation in company growth with significant upside potential Comprehensive benefits package including health, dental, vision, and 401(k) with company match Professional development budget for conferences, training, and certification programs Remote‑friendly work environment with flexible schedules and collaborative culture Access to cutting‑edge product analytics and development tools Direct collaboration with executive leadership team and high visibility on strategic initiatives Opportunity to shape product strategy for a rapidly growing platform in the loyalty and advertising space Career advancement opportunities within Kigo and parent company Augeo Annual company retreats and team building events Technology stipend for home office setup and equipment *St. Paul MN or Seattle, WA Preferred, but open to remote Kigo is an equal opportunity employer committed to diversity and inclusion in the workplace. #J-18808-Ljbffr Kigo LLC