Sayari

Affiliate Manager

• Build and deliver scalable enablement programs focused on Enterprise soft skills, MEDDPICC methodology, and operational rigor.
• Own the day-to-day operations and strategy for Sayari Academy (LMS).
• Lead the revenue onboarding process to ensure new sellers are "ramped and dangerous" within 90 days.
• Create high-fidelity enablement assets including eLearning, role-play scenarios, and AI-assisted training aids.
• Analyze seller performance data and quota attainment to identify training gaps and report impact to Leadership.
• Ensure the team is proficient in Salesforce, Gong, and DealHub to maintain high data integrity.
• Collaborate with Product and Marketing to ensure new features are translated into winning sales narratives.
• Stay ahead of adult learning trends and GenAI workflows to keep our training delivery efficient and engaging.

Enablement Business Partner

Product Manager

• Serve as the single point of accountability for the Sayari Guide application and its long-term technical and commercial strategy
• Act as the technical lead for API-to-API partnerships, ensuring data flows accurately and meets the requirements of enterprise risk investigators
• Conduct deep technical and commercial evaluations for new data partnerships
• Work directly with application engineering teams to structure new APIs and metadata schemas that allow our data to be represented effectively within third-party interfaces
• Act as a peer to Sales and Partnership leadership, providing the data-backed rationale to say "No" to low-value custom requests or "Not yet" to ensure long-term product health
• Open the console, troubleshoot API calls, and ensure our technical documentation (API docs) meets an unwavering standard of excellence

Product Manager – Third Party Risk

• Own the Guide Roadmap: Serve as the single point of accountability for the Sayari Guide application and its long-term technical and commercial strategy
• Manage Partner Integrations: Act as the technical lead for API-to-API partnerships, ensuring data flows accurately and meets the requirements of enterprise risk investigators
• Execute "Build vs. Buy": Conduct deep technical and commercial evaluations for new data partnerships
• Bridge the Technical Gap: Work directly with application engineering teams to structure new APIs and metadata schemas that allow our data to be represented effectively within third-party interfaces
• Unblock GTM Teams: Act as a peer to Sales and Partnership leadership, providing the data-backed rationale to say "No" to low-value custom requests or "Not yet" to ensure long-term product health
• Maintain Technical Rigor: Open the console, troubleshoot API calls, and ensure our technical documentation (API docs) meets an unwavering standard of excellence

Senior Product Manager – TPRM

Research Scientist

• Model Ownership: Design and execute fine-tuning strategies (LoRA, full fine-tuning) and own the experimentation cycle from hypothesis through production deployment.
• Data Strategy: Build and refine data collection and labeling strategies for complex, messy domains, including designing auto-labeling pipelines.
• Architecture: Evaluate and select base models (proprietary and open-source) for domain-specific tasks, focusing on small language models (SLMs).
• Deployment: Deploy fine-tuned models to production using cloud ML platforms (Vertex AI, SageMaker, or equivalent).
• Evaluation: Develop rigorous evaluation frameworks that measure real-world performance on agentic workflows, not just benchmarks.

Senior Applied Scientist

AI Engineer

• Core AI Platform Strategy: Define and execute the roadmap for Sayari’s AI infrastructure. You will own the requirements for the orchestration layers, prompt management systems, and the underlying platform architecture that powers our generative intelligence.
• Model Lifecycle & SLM Ownership: Lead the strategy for model selection, fine-tuning, and deployment. This includes evaluating the trade-offs between frontier models and domain-specific Small Language Models (SLMs) to optimize for performance, cost-to-serve, and user latency.
• Automated Evaluation & Trust: Establish the "ground truth" for Sayari AI. You will define and build rigorous evaluation frameworks, benchmarking non-deterministic outputs to ensure accuracy, provenance, and adherence to "system of work" reliability standards.
• Intelligence Orchestration: Define how our systems reason and interact. This includes owning the product requirements for agentic workflows, Model Context Protocols (MCPs), and "self-repairing" systems that maintain data integrity and model reliability at scale.
• Collaborative AI Delivery: Partner deeply with "Front-end" Application PMs to ensure backend capabilities translate into seamless user experiences. While responsibilities are delineated between platform and application, you are expected to "lean in" across the stack to ensure business outcomes are met.
• Investment & Outcome Strategy: Author the business cases and define business outcomes for significant technical shifts in our AI stack. You will articulate how foundational backend improvements directly translate to superior product outcomes, market dominance, and reduced operational overhead.
• Tradecraft Codification & Expert AI: Lead the effort to translate complex analyst tradecraft and investigative methodologies into automated "Skills" and agentic reasoning. You will ensure that the platform's AI outputs reflect the judgment, precision, and trust required for high-stakes economic security and risk intelligence.
• Cultural Architect: You will act as a Cultural Architect for AI, evangelizing a 'Quality-First' mindset across the company and ensuring that our transition to an AI-native product suite is grounded in human-centric design and ethical accountability.

Senior Product Manager, AI Platform

• Architect classical and AI powered solutions that are robust, scalable, and thoroughly tested. Contribute directly to expanding the functionality and performance of our code base.
• Collaborate with our Product and Design teams to evolve our platform roadmap, ensuring product goals are translated into tractable features that appropriately reflect our application's data model and capabilities. Identify capacity constraints to inform development sequencing and prioritization.
• Lead technical architecture decisions for AI features, balancing research ambitions with production reliability
• Establish evaluation frameworks and best practices for working with large language models in high-stakes, accuracy-critical domains
• Act as a multiplier for the engineering team through hands-on mentoring, deep code reviews, and technical training on AI skillsets

Enablement Business Partner

Product Manager – Third Party Risk

Senior Product Manager – TPRM

Senior Applied Scientist

Senior Product Manager, AI Platform

Staff AI Engineer