• Build and evolve investor-facing product experiences that improve Crunchbase’s value to investors, venture firms, founders, and venture ecosystem participants. • Establish and operate structured feedback loops, including advisory groups, beta programs, early access cohorts, customer interviews, demos, office hours, and product feedback channels. • Act as the voice of investors and venture ecosystem users within the Product organization. • Translate qualitative feedback and behavioral signals into product requirements, experiments, prototypes, and roadmap recommendations. • Identify opportunities to improve investor engagement, adoption, satisfaction, and product-market fit. • Partner with Product, Design, Engineering, Revenue, and Operations teams to convert investor insights into high-impact product opportunities. • Measure the impact of investor-facing initiatives using adoption, engagement, retention, satisfaction, and business outcome metrics. • Build internal AI-powered tools and workflows that improve operational efficiency across Crunchbase. • Identify manual, fragmented, repetitive, or brittle workflows and replace them with scalable internal systems. • Design and implement tools that integrate data, AI models, automation, APIs, and user workflows. • Deploy tools in limited-access internal environments for use by Crunchbase teams. • Own the ongoing maintenance, debugging, documentation, and improvement of the internal tools you build. • Ensure internal tools are reliable, secure, observable, and maintainable for their intended use case. • Help internal teams adopt AI-powered workflows in practical, measurable ways. • Define product opportunities, user problems, business requirements, and success metrics. • Prioritize initiatives based on user impact, business value, urgency, and implementation complexity. • Translate ambiguous problems into clear requirements, technical approaches, prototypes, and shipped solutions. • Break initiatives into iterative milestones and manage delivery from discovery through launch and post-launch optimization. • Make thoughtful tradeoffs across speed, quality, usability, maintainability, cost, and risk. • Measure adoption, engagement, operational impact, and business outcomes after launch. • Write, modify, debug, and maintain code using modern AI-assisted development workflows. • Use vibe coding, spec-to-code workflows, rapid prototyping, and iterative development to move quickly from problem definition to working software. • Build prototypes and production-ready internal tools that real users can rely on in limited-access environments. • Integrate data sources, APIs, AI models, automation platforms, and user interfaces into functional workflows. • Own performance, reliability, documentation, and ongoing improvements for the systems you build. • Know when a solution is appropriate for direct ownership and when it requires deeper Engineering partnership for scale, security, or long-term infrastructure needs. • Partner with Product, Design, Engineering, Revenue, Operations, and business teams to identify high-impact product and operational opportunities. • Work directly with investors, customers, and internal stakeholders to understand needs and validate solutions. • Communicate clearly about priorities, tradeoffs, technical constraints, risks, and expected outcomes. • Contribute to the evolution of modern product development practices across Crunchbase.

Role Description At Oversee, we are reimagining how corporate travel is managed. Our advanced technology and machine learning eliminate outdated, manual processes that hold companies back - driving cost savings, improving efficiency, and enabling smarter decision-making. We combine travel analytics with actionable insights, giving global enterprises the tools to gain visibility into their travel spend while continuously optimizing their programs. We are the global leader for air and hotel reshopping solutions and also provide “AgentSee”, an AI-powered productivity tool designed to help Travel Management Companies (TMCs) work smarter and faster. AgentSee automates manual tasks like processing traveler emails, booking flights, and managing travel arrangements; enabling TMCs to reduce costs and improve service quality. If you are looking for a dynamic, fast-paced, and positive environment and want to help solve a $17B global problem - Oversee is the place to build, grow, and make an impact. We’re growing fast, with exponential YoY revenue growth and partnerships with some of the world’s largest Fortune 500 companies. Why join us? - You will join our AI team and help build production-grade AI agents used by global enterprises. - You’ll work on real-world problems at the intersection of LLMs, automation, and large-scale travel data, with the freedom to shape both the technology and the product. - You’ll work on production AI systems, not demos. Think agent orchestration, retrieval systems, tool calling, workflow automation, large-scale integrations, and real-time decision-making. Come shape the future of business travel with us! What you’ll do: - Design, build, and scale AI-driven systems that power our virtual agent capabilities, including conversational reasoning, retrieval systems, tool calling, and automation workflows; - Develop backend services and data pipelines that integrate multiple APIs (Amadeus, Sabre, internal systems, and third-party platforms) to support real-time decision-making; - Build and deploy AI agents that solve real-world business problems; - Own architecture decisions for distributed, high-performance AI applications; - Continuously improve model performance, reliability, observability, and evaluation frameworks; - Help define engineering best practices and contribute to technical direction across the team. Qualifications - Proven hands-on experience developing or integrating products using LLMs - 5+ years of experience building production software systems - Strong experience designing and developing scalable backend applications - Experience with AI agents, agentic workflows, RAG pipelines, tool-calling systems, or orchestration frameworks - Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Google ADK, CrewAI, MCP, or similar technologies - Strong Python skills - Solid understanding of Linux runtime environments - Experience identifying and solving performance bottlenecks - Fluent English, written and spoken - Curious, proactive, and excited about learning new technologies Requirements - Bonus points if you have: - Production experience with agentic AI systems - Knowledge of RAG architectures, embeddings, and vector databases - Familiarity with AI evaluation and monitoring frameworks - Exposure to travel-tech or GDS integrations - Kubernetes, AWS, Terraform, and CI/CD tooling - Open-source contributions, side projects, or technical writing - Startup mindset and comfort operating with ambiguity Benefits - Our technology stack: - Backend: Python, Django, Kotlin - Frontend: TypeScript, React - Infrastructure: Kubernetes, AWS, Terraform - Data: High-scale pipelines & distributed systems If you’re excited about building real AI products and not just talking about them, we’d love to meet you. We are proud to be an equal opportunity workplace. We provide employment opportunities without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status.

Role Description - Willingness to work in Application support - L2/L3 support - Strong understanding of enterprise-level .NET applications, including advanced concepts like asynchronous programming and debugging techniques - Familiarity with key design patterns such as Factory, Singleton, Repository, and Dependency Injection - Hands-on experience with Azure Functions and Durable Functions, including triggers and bindings, and a solid grasp of event-driven systems using Service Bus - Proficiency in working with Azure services including Azure SQL, monitoring tools, Key Vaults and secrets management, and a good understanding of Virtual Networks (VNets) - Knowledge of GitHub and GitHub Actions for version control and automation - Ability to debug and propose fixes for issues in React applications, ensuring smooth coordination between frontend and backend components Qualifications - 4 to 6 years in IT - Must Have: MS.Net, React, GitHub, Azure - Good to have: Support/ITSM, Client facing skills Company Description

• We're building a new product from scratch, and we're looking for an engineer to help lay the foundations. • OpenGRC turns live threat data into actionable insights for CISOs. • You'll work in a small squad to define the architecture and ship the product. • Correlation: linking real-time CTI feeds to a company's internal assets and security controls. • Verification: folding in real exposure results to tell proven defenses apart from assumed ones. • Quantification: calculating financial risk on the fly as the threat landscape shifts.