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Requirements:
GTM & Business Methodology: 2+ years of experience within high-growth GTM teams or providing strategic services to revenue functions (Marketing, Sales, Customer Growth). You possess a deep understanding of business methodologies, sales cycles, and the modern revenue engine..
Agentic Architecture experience - Proven hands-on experience designing and building within AI ecosystems. You are comfortable architecting Multi-Agent Systems (MAS) and designing autonomous agentic layers.
Rapid Prototyping: Ability to take a concept from a high-level flow to a functional V1 prototype. You should be skilled in creating functional mockups and live demos through vibe coding tools.
Orchestration & Tooling: Experience with AI orchestration tools and development frameworks.
CRM & Data Layers: Power-user knowledge of HubSpot or Salesforce as an application layer, and a high-level understanding of data warehouse structures (Snowflake).
Project Management: Proven ability to translate abstract leadership priorities into structured project scopes, requirements, and executable plans. You excel at managing complex, cross-functional implementations and technical delivery timelines.
Stakeholder Management: Exceptional communication skills with the ability to navigate a global organization and align executive vision with tech feasibility.
Advantage for hands-on experience across the following AI ecosystem and tool types (or similar):
AWS Bedrock, Relevance AI, AutoGen, CrewAI, Google Antigravity
Workato, n8n, Zapier, Make, Google Opal
OpenAI (Assistants API / Custom GPTs), Claude (Cowork), OpenClaw, Google AI Studio, Claude (Code), Hermes agents, Cursor
Bolt, Base44, Lovable, Figma Make

Requirements:
5+ years of hands-on paid acquisition experience in B2B SaaS, with deep operational expertise across Google, LinkedIn, and Meta. You've personally built, scaled, and optimized campaigns, with a strong understanding of performance drivers across the funnel.
Proven experience building AI-powered paid media capabilities, including automation, intelligent bidding, audience modeling, dynamic creative optimization, or similar systems that extend beyond platform-native automation.
A builder's mindset. You're energized by ambiguity, prefer creating processes over inheriting them, and instinctively turn one-off wins into repeatable systems.
Experience owning budget allocation, forecasting, and ROI management across multi-channel, multi-market investments.
Strong expertise in attribution, analytics, and reporting, with the ability to translate complex data into clear, defensible recommendations.
A track record of driving pipeline growth through paid search and paid social, with a relentless focus on experimentation and optimization.
Excellent project management skills and the ability to manage multiple initiatives in a fast-moving environment.

Requirements:
Bachelor's degree in Business Administration, Management, Organizational Psychology, or a related field.
7+ years of relevant experience in strategy, operations, consulting, or business leadership roles, with at least 2-3 years of experience serving as a Chief of Staff to a CEO, founder, or executive leadership team.
Exceptional interpersonal skills and emotional intelligence, with the ability to build trust and influence at all levels of the organization.
Demonstrated ability to influence without formal authority and drive alignment among senior stakeholders with different perspectives.
Outstanding communication, facilitation, and relationship-building skills.
Strong structured thinking and the ability to bring clarity to complexity.
Proven ability to turn discussions into actionable plans and ensure disciplined execution.
Highly organized, detail-oriented, and able to manage multiple priorities simultaneously.
Strong business judgment, problem-solving capabilities, and organizational awareness.
Comfortable operating in ambiguity and helping others navigate change.
High level of integrity, discretion, and professionalism.
Native-level English proficiency.

Requirements:
Proven experience designing, building, and operating large-scale data infrastructure in production environments.
Strong engineering fundamentals in databases, distributed systems, concurrency, storage, and reliability.
Strong knowledge of analytical engines, columnar databases, and data warehouse/lakehouse architectures.
Experience with data orchestration tools and distributed storage solutions.
Understanding of data security, privacy, governance, lineage, auditability, and access control.
Ability to make pragmatic architecture decisions, balance maitenance-vs-delivery tradeoffs, and optimize for scalability, reliability, simplicity, and cost.
Proven ability to lead a team, mentor engineers, communicate clearly, and work effectively with cross-functional stakeholders.
Experience building infrastructure for data pipelines, orchestration, streaming, analytical workloads, and large-scale data processing.
Experience with observability, monitoring, alerting, incident management, SLOs, and production operations for data systems.
Strong understanding of AI-ready data platforms, including metadata, semantic layers, retrieval patterns, data quality, governance, and permission-aware access to data.
Expertise with relational databases; PostgreSQL experience is a plus.
Hands-on experience with streaming systems such as Apache Kafka or equivalent technologies.
Bonus Skills
Experience with cloud-based data infrastructure solutions, such as AWS or GCP.
Familiarity with Kubernetes.
Experience with modern lakehouse technologies, open table formats, metadata catalogs, or data governance platforms.
Experience supporting AI, ML, LLM, semantic search, or agentic product use cases on top of production data.
Experience building multi-tenant SaaS infrastructure, especially with sensitive or permission-heavy data.
Experience with cost optimization and FinOps practices for data platforms.
Experience creating internal developer platforms, self-service data tooling, or paved-road infrastructure for engineering teams.