Nimble Gravity

• Diseñar, desarrollar e implementar soluciones avanzadas de IA utilizando LLMs, RAG, embeddings, bases de datos vectoriales, búsqueda semántica y arquitecturas basadas en agentes. • Construir sistemas inteligentes capaces de procesar documentos, recuperar conocimiento, generar contenido, automatizar procesos y transformar información no estructurada en datos útiles para el negocio. • Trabajar con herramientas modernas de IA Generativa como LangChain, LangGraph, Hugging Face, PyTorch, MCP, frameworks multiagente y servicios de IA en la nube. • Desarrollar aplicaciones de IA escalables y robustas sobre plataformas como Azure, AWS, Databricks u otras tecnologías similares. • Experimentar con modelos fundacionales, prompts, estrategias de recuperación de información, patrones de orquestación y técnicas de optimización de rendimiento. • Colaborar con equipos de ingeniería, producto, datos y negocio para definir la mejor solución técnica para cada desafío. • Mantenerte actualizado sobre las últimas tendencias del ecosistema de IA Generativa y llevar nuevas ideas y tecnologías a proyectos reales.

• Own the partner ecosystem end to end. • Serve as the single point of accountability for Microsoft, Databricks, and Anthropic at Nimble Gravity. Maintain consistent cadences with our partner stakeholders, surface issues early, and keep all three motions moving in concert. • Operate Microsoft co-sell with mastery. • Drive Microsoft Cloud Partner Program activities including managed partner status pursuit, Azure specialization enrollment, Azure Accelerate program execution (MCI and ECIF), and Azure Offer Navigator nominations across purpose built offers (Azure Frontier, AI Transformation, Synapse to Fabric Migration, Databricks Compete, Analytics Modernization Accelerator). Own the funding lifecycle end to end on every applicable deal. • Operationalize Databricks co-sell. • Register active deals, automate deal registration where possible, and progress Nimble Gravity through Databricks partner tier milestones. Build the rhythm of business with Databricks partnership and FSI sales leadership. • Shape the Anthropic partnership. • Coordinate with our Principal, Anthropic to evolve our Anthropic motion. Help define incentive program approaches and joint pursuit mechanics as the Anthropic partner program matures. • Drive partner sourced revenue. • Generate, qualify, and convert opportunities sourced through all three partners. You will be measured on partner sourced pipeline, partner influenced bookings, funding utilization, and time to close. • Launch pipeline generation activities. • Build and run repeatable one-to-many motions with partner sales teams, in collaboration with marketing. Track pipeline generated from each motion. • Educate and enable Principals and sellers. • Teach the broader Nimble Gravity sales team how to leverage partner funding, how to align opportunities to applicable programs, and how to bring partners into deal cycles at the right moment. • Build the alliance playbooks. • Codify how we co-sell with Microsoft, how we win with Databricks, and how we position Anthropic. Document the funding mechanics, the deal registration processes, and the delivery engagement model when partner funding is in play. Write it down so the motion scales beyond you. • Map and maintain the partner org. • Use HubSpot to map every relevant contact across Microsoft, Databricks, and Anthropic. Track relationship health and recency. Surface the right outreach to the right Nimble Gravity person at the right moment. • Coordinate cross functionally. • Partner with the Principal, Anthropic, the FSI Sales Channel team led by our VP Sales FSI, delivery, pre-sales, marketing, and RevOps. Most opportunities involve more than one platform, and the partner motion must be coherent across all of them. • Represent Nimble Gravity in the partner ecosystem. • Show up at partner events, briefings, joint customer engagements, and industry conferences (Microsoft Build, Databricks DAIS, Anthropic events). Be the credible, business literate, technically fluent face of Nimble Gravity that partner sellers want to bring into their accounts. • Measure and report impact. • Track and communicate partner sourced pipeline, influenced bookings, funding utilization, and relationship coverage. Refine the strategy based on what is working and what is not. • Build the team. • As partner sourced revenue scales, build the partnerships organization beneath you. Define the roles, hire the people, and operate as a leader of a function rather than an individual contributor.

• Coordinate and execute marketing campaigns across digital, partner, and event channels. • Maintain campaign calendars, timelines, and project plans. • Coordinate campaign assets and ensure deliverables are completed on schedule. • Support account based marketing (ABM) initiatives and targeted outreach campaigns. • Draft and coordinate blogs, newsletters, email campaigns, social media content, and website updates. • Coordinate executive thought leadership initiatives, including blogs, webinars, speaking opportunities, industry recognition programs, and social content. • Partner with the Head of Product to develop and execute go to market communications for new offerings, capabilities, and product enhancements. • Support the Growth team with campaign materials, messaging, presentations, and sales enablement resources. • Coordinate webinars, conferences, customer events, and partner marketing activities. • Track campaign performance and marketing metrics.

• Design and build integrations between internal and external systems such as Jira, Bitbucket, AWS services using APIs and webhooks. • Develop automation workflows that connect project management tools, repositories, cloud services, and AI platforms. • Configure and manage AWS services, including Amazon SageMaker, Amazon Redshift, Amazon Bedrock, and related cloud infrastructure. • Set up and configure AI agents and agent-based workflows using AWS Bedrock as LLM provider. • Write, maintain, and improve infrastructure as code using Pulumi and/or Terraform. • Support CI/CD workflows and repository automation in Bitbucket. • Work with Jira automation, webhooks, APIs, and event-driven workflows to streamline engineering and operational processes. • Collaborate with data, engineering, AI, and platform teams to understand requirements and deliver reliable technical solutions. • Document integrations, infrastructure components, runbooks, and operational procedures. • Troubleshoot issues across cloud infrastructure, integrations, AI services, and automated workflows.

• Build, scale, and maintain robust data solutions. • Implement and optimize high-performance data pipelines: extraction, loading, transformation, and orchestration – that are designed for scalability, reliability, maintainability, and speed. • Champion modern software engineering practices as CI/CD, infrastructure-as-code, containerization, and cloud-native deployments • Collaborate closely with business stakeholders to transform use cases into production-ready services and solutions, owning the system from concept to production. • Implement rigorous testing and monitoring practices to maintain superior data quality and integrity.

• Serve as a trusted advisor to senior executives at banks, insurance carriers, brokers, reinsurers, asset managers, and capital markets firms. Identify value-creation levers across underwriting, claims, distribution, policy administration, lending, deposits, payments, trading, research, and investment operations. Build roadmaps that translate AI and modern data platforms into measurable ROI. • Drive net-new customer acquisition and revenue growth through the Microsoft FSI channel. Work in lockstep with the Microsoft to identify, pursue, and close opportunities. Focus on Azure Foundry, Fabric and Databricks projects, Claude engagements, and ultimately revenue generated. • Run a programmatic partner-relationship motion. Maintain active coverage of named Microsoft field sellers across the Banking, Insurance, and Cap Markets. Use HubSpot as the system of record so no key partner relationship goes cold and every meeting compounds into pipeline. • Develop the FSI service line. Work cross-functionally with delivery, engineering, and product to drive and refine scalable repeatable offers such as claims acceleration, secondary portfolio intelligence, regulatory and compliance review, agentic workflows, evaluation systems, and AI operating model design that resonate across all three FSI sub-verticals. • Act as the bridge between FSI clients and our partners. Maintain one foot in each camp, client and Microsoft, client and Databricks, client and Anthropic, aligning incentives, managing expectations, and surfacing issues early so joint pursuits stay on track and shared milestones are met. Client success being paramount. • Execute scalable Microsoft co-sell. Run the existing repeatable processes for working with Microsoft ATU and STU to drive customer acquisition and expansion. Refine joint messaging, identify high-value accounts, and accelerate alignment. • Pipeline development and management. Own pipeline generation across the FSI book. Participate in FSI-focused lead-generation campaigns, joint events, and account-based plays with Microsoft, Databricks, and Anthropic field teams. • Strategic deal closing. Own complex sales cycles end-to-end from initial engagement through workshop, vision-led proposal, contract negotiation, and close. Position our AI and data platform capabilities as critical to the client's modernization and competitive positioning. • Market intelligence and positioning. Stay ahead of FSI trends, regulatory shifts, competitor moves, and platform roadmaps from Microsoft, Databricks, and Anthropic. Feedback to internal teams to shape offers that differentiate us in a crowded market. • Cross-functional collaboration. Partner with delivery, marketing, engineering, RevOps, and leadership to align sales initiatives with broader business objectives. Ensure clean handoffs between sales and delivery so client outcomes match what was sold. • Revenue forecasting and goal setting. Establish and track revenue goals. Use HubSpot, FSI account mapping, and partner relationship signals to inform strategy.

The AI Enablement & Adoption Manager helps clients understand, adopt, and realize value from AI.

• Collaborate with cross-functional teams to understand business requirements and translate them into effective cloud-based data architecture solutions. • Design data models, data flow diagrams, and schema structures that optimize data storage, retrieval, and processing on cloud platforms. • Design and develop data integration strategies to consolidate data from diverse sources into a unified and coherent format. • Evaluate and select appropriate cloud services and tools for various data-related tasks. • Work closely with data engineers, data scientists, and other stakeholders to understand their needs and provide architectural guidance. • Responsible for overseeing the successful execution of data projects and ensuring the outcomes meet business objectives and technical requirements. • Lead and mentor junior team members, promoting knowledge sharing and continuous learning.

• Review AI-extracted data from insurance submissions (SOVs, loss runs, supporting documents) for accuracy, completeness, and consistency. • Compare extracted fields against source documents, identify discrepancies, and correct data directly in the appropriate systems or templates. • Act as a quality gate for the AI pipeline, ensuring output meets agreed business and underwriting expectations before it moves downstream. • Log issues, defects, and edge cases with clear reproduction steps, examples, and impact, using tools like Jira or similar. • Identify patterns and root causes behind extraction errors (e.g., recurring issues with specific formats, document types, or fields). • Translate observed patterns into well-structured requirements, user stories, and bug reports that engineering and data teams can act on. • Collaborate closely with architects, data engineers, and other analysts to refine extraction rules, templates, and workflows. • Use LLMs and AI assistants as tools (e.g., for summarization, cross-checking, hypothesis generation), while exercising sound judgment about what to trust and what to verify. • Help continuously improve documentation, checklists, and guidelines for reviewing submissions and extractions. • Over time, contribute to defining metrics and dashboards for data quality and model performance (e.g., accuracy by field, error rates by document type).

Role Description We are looking for an exceptional AI Architect to design, build, and optimize AI-driven applications on the Azure platform. This role emphasizes strong engineering expertise, creative problem-solving, and the ability to work with cutting-edge technologies to deliver high-impact solutions. The ideal candidate thrives on solving complex challenges, is passionate about engineering excellence, and has a knack for integrating AI into scalable, real-world applications. A background in data science or formal engineering is a strong advantage, given the scientific nature of the work. Key Responsibilities - Architect & Build: Design and implement AI applications leveraging Azure services (AKS, Azure Container Apps, Blob Storage, Document Intelligence, AI Studio/Foundry, VNETs). - Full-Stack Development: Develop systems using C#, Python, React, and modern frameworks like Entity Framework Core, LangChain, Semantic Kernel, and FastAPI. - Scalable & Secure Solutions: Create applications that are resilient, secure, and optimized for high performance. - Collaboration: Work closely with cross-functional teams, including data scientists and engineers, to turn abstract ideas into functional solutions. - Cloud-Native Focus: Lead the deployment and optimization of applications in Azure environments with strong consideration for cost efficiency and maintainability. - Innovate & Optimize: Explore new tools, frameworks, and methodologies to stay at the forefront of AI and software engineering. Qualifications - Proven expertise in software engineering with experience in C#, Python, and React (TypeScript). - Hands-on experience with cloud platforms, particularly Azure, including services like AKS, Networking, and AI Studio/Foundry. - Familiarity with AI frameworks like LangChain, Semantic Kernel, and other AI libraries or tools, as well as techniques such as RAG, Agentic patterns, and workflow orchestration. - Strong grasp of modern development practices, such as containerization, CI/CD, and API design. - Demonstrated ability to design and build secure, scalable, and maintainable systems. Preferred Skills - Background in data science or formal training in engineering disciplines. - Experience with frameworks like Entity Framework Core, Material UI, and FastAPI. - Understanding of AI modeling workflows and integration of document intelligence or related tools. Core Qualities - Problem-Solving Excellence: A creative and analytical approach to tackling technical challenges. - Ownership & Accountability: Ability to take full responsibility for the design, implementation, and success of projects. - Adaptability: Comfortable learning and implementing new technologies in a fast-evolving field. - Team Collaboration: Strong communication skills and a mindset that thrives in a team-driven environment. Company Description Nimble Gravity is a team of outdoor enthusiasts, adrenaline seekers, and experienced growth hackers. We love solving hard problems and believe the right data can transform and propel growth for any organization. Nimble Gravity is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Nimble Gravity considers all qualified applicants.