CEO, AI Project

Sigma Software Group

CEO shaping Sigma Software’s enterprise AI assistant for employee productivity and workflow automation. Owning product strategy, execution, partnerships, and business outcomes.

Posted 9/7/2026full-timeRemote • 🇩🇪 GermanyMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining product vision and strategy for enterprise AI platforms, with a strong focus on user experience, operational efficiency, and measurable business outcomes. Proven ability to lead cross-functional teams and drive product execution in fast-paced environments.

Highest-signal resume keywords

Product Management ExperienceAI Tools and TechnologiesProduct Discovery MethodologiesStakeholder Management SkillsBusiness P&L Ownership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product StrategyRoadmap PlanningProduct Metrics TrackingUser ResearchAI Capabilities UnderstandingKnowledge ManagementDocument ManagementEnterprise SearchAnalytical SkillsDecision-Making Skills

Soft Skills

Strong CommunicationPresentation SkillsLeadershipHigh OwnershipInitiative

Tools & Technologies

AI AgentsConversational AI PlatformsSupport ToolingOperational Productivity Products

Industry Keywords

Enterprise SoftwareSaaSComplianceGovernanceCross-Functional CollaborationCompetitive DifferentiationUser Journey OptimizationEnterprise-Grade StandardsAI/LLM EcosystemsLarge-Scale Enterprise Environments

About the role

Key responsibilities & impact

Define and own the product vision, strategy, and roadmap for the enterprise AI assistant platform
Identify and validate user pain points and operational inefficiencies across enterprise functions
Lead product discovery activities, including stakeholder interviews, user research, and prioritization
Drive product execution from concept to delivery with engineering, AI, design, and business teams
Develop and optimize user journeys focused on productivity and knowledge accessibility
Evaluate AI capabilities and limitations to guide practical and scalable product decisions
Identify opportunities for competitive differentiation and long-term product growth
Define, monitor, and improve product metrics and business outcomes
Collaborate with support organizations and operational teams to understand workflows and escalation processes
Ensure enterprise-readiness standards, including reliability, security, compliance, and governance
Present product strategy and solutions to executive stakeholders and cross-functional teams
Build strategic partnerships and identify mutually beneficial opportunities
Contribute to pricing, packaging, and business performance management
Foster a high-ownership and outcome-oriented product culture

Requirements

What you’ll need

5+ years of experience in Product Management within enterprise software, AI products, or SaaS environments
Strong experience working with knowledge management, enterprise search, document management, or related domains
Understanding of enterprise support operations and organizational workflows
Proven experience defining product strategy and driving product execution
Strong knowledge of product discovery methodologies, prioritization frameworks, and roadmap planning
Experience defining and tracking product and business metrics
Practical hands-on experience with AI tools, AI agents, or agentic systems
Strong understanding of AI capabilities, limitations, and responsible adoption practices
Ability to work effectively in ambiguous and fast-changing environments
Strong communication, presentation, and stakeholder management skills
Experience presenting products and strategic initiatives to diverse stakeholder groups
Experience building strategic partnerships and cross-functional collaborations
Business-oriented mindset with proven experience owning product or business P&L, including pricing strategy, packaging, and revenue accountability
Strong analytical and decision-making skills
High level of ownership, initiative, and focus on measurable impact
Ability to lead, inspire, and develop a high-performing cross-functional team
Advanced level of English
Will-be-a-plus qualifications: experience building enterprise AI assistants or conversational AI platforms; enterprise-grade compliance and governance requirements; AI/LLM ecosystems and modern agentic architectures; large-scale enterprise environments; support tooling or operational productivity products; AI-driven internal productivity solutions

Benefits

Comp & perks

Employees can work remotely