Sayari

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

Staff AI Engineer

Customer Success Manager

• Proactively monitor and manage receivables to ensure program health and margin protection.
• Identify and bubble up strategic expansion opportunities within the partner portfolio.
• Own the deal registration and Statement of Work (SOW) management processes.
• Coordinate and deliver partner enablement programs to drive adoption and effectiveness.
• Collaborate cross-functionally with Direct Sales, Marketing, Legal, and Finance to resolve bottlenecks.
• Manage partner agreement renewals and ensure high retention rates across the ecosystem.
• Provide regular internal reporting on partner usage, performance, and health metrics.
• Maintain and curate partner content across Slack, Sayari Academy, and Digital Sales Rooms.

Partner Success Manager

Account Manager

• Consistently build and maintain a pipeline at 4x of quota, targeting a monthly addition of $400k in new opportunities.
• Manage the end-to-end sales process from lead generation and initial outreach to closing high-value deals across a diverse account mix.
• Complete and iterate on detailed account plans for Tier-1 agencies (DOE, SEC, etc.) to ensure long-term growth and 95% customer retention.
• Apply MEDDPICC methodology to all opportunities in the forecast to ensure high win rates and predictable revenue.
• Partner closely with Sales Engineers (SEs) and Capture Managers, ensuring all team members are fully prepared for every sales interaction.
• Maintain meticulous Salesforce hygiene, ensuring all records, activities, and forecasts are updated weekly.

Account Manager, Government – DOE & Civil

Data Engineer

• Design and implement complex Spark data logic, focusing on performance optimization, data volume tuning, and robust execution.
• Own the architectural design of graph build pipelines, ensuring they are scalable, automated, and highly resilient.
• Plan and oversee the strategic re-architecture of data pipelines to meet evolving business needs and scale.
• Optimize infrastructure-as-code and schema designs to reduce cloud costs and improve pipeline latency.
• Act as a technical consultant for the team, fostering a collaborative and engineer-led approach to design decisions.
• Support the development of the engineering team through code reviews, design docs, and architectural best practices.
• Ensure the accuracy of mission-critical data outputs.

Senior Applied Scientist

Senior Product Manager, AI Platform

Staff AI Engineer

Partner Success Manager

Account Manager, Government – DOE & Civil

Principal Data Engineer