
Product Leader
Kigo
full-time
Posted on:
Location Type: Remote
Location: Minnesota • Washington • United States
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Salary
💰 $125,000 - $140,000 per year
Job Level
About the role
- 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.
Requirements
- 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
Benefits
- Competitive salary
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
product managementAPI-first architectureheadless architectureAI-powered development toolsrapid prototypingAI ethicsML modelspredictive analyticspersonalizationoptimization
Soft Skills
collaborative mindsetcross-functional stakeholder managementanalytical skillsdata-driven decision makingcommunication skills