Team8

Description About Solid: Enterprises are racing to adopt AI, but AI only works if it understands complex enterprise data. Solid automatically builds and maintains a semantic layer over structured data, enabling AI systems to generate queries, support workflows, and operate with accuracy, transparency, and trust. Founded by repeat entrepreneurs, Solid is backed by leading VC funds including SignalFire and Team8. Role Overview: As an Applied AI Solutions Engineer, you will bridge deep backend data integration with technical execution for enterprise clients. Reporting to the VP of Applied AI & Solution Engineering, you will drive the core integration layer—building production-grade Python workflows, complex ETL pipelines, and multi-system connectors while serving as a communicative technical partner to ensure enterprise customers successfully deploy Solid. Key Responsibilities: • Data Integration & Backend Development: Write production-grade Python scripts, custom connectors, and robust data pipelines to integrate Solid across complex, multi-system enterprise environments. • Semantic Modeling & Validation: Build, benchmark, and certify semantic models matching customer data structures, schemas, and business logic across diverse databases and cloud data warehouses. • AI & Workflow Integration: Connect Solid into customer AI agent ecosystems (MCP, Text2SQL, CrewAI, LangChain, Slack, internal GPTs). • Technical Engagement & Delivery: Partner with customer technical and data teams during kickoff and deployment, serving as a solution-oriented focal point to guide technical architecture and ensure successful implementation. • Field-to-Product Feedback Loop: Translate customer edge-cases, technical friction, and integration requirements into actionable specs and Jira tickets for R&D. Requirements Qualifications & Requirements: • Core Software & Python Development: 5+ years of hands-on software development experience in Python, with a strong focus on clean, scalable code and backend integration. • Data Engineering & Complex Architecture: Proven background integrating with multiple disparate systems, writing complex SQL queries and working deeply with relational databases and Cloud Data Warehouses (Snowflake, Databricks, BigQuery, PostgreSQL). • Communication & Service Orientation: Exceptional interpersonal skills, strong service orientation, and fluent verbal and written English with the ability to communicate technical concepts clearly. • Startup Mindset: Resourceful, highly organized, and comfortable operating in a fast-moving, high-growth environment. Advantages (Nice-to-Have): • Direct client-facing technical experience (e.g., Forward Deployed Engineer, Solutions Engineer, Data Architect, or Technical Consultant). • Experience as a Senior Data Engineer or Backend Engineer looking to move into Applied AI and customer-facing solution architecture. • Practical familiarity with AI application patterns (Text2SQL, AI agents, MCP, LangChain/LangGraph) or model benchmarking. • Experience in modeling data into BI systems (like Power BI, Tableau, Looker etc.)

Description We are seeking a skilled Security and IT Manager to join our team. You will play a key role in developing, implementing, and maintaining security solutions to protect our infrastructure. Responsibilities Security Operations & Threat Management • Develop, implement, and maintain security infrastructure (firewalls, IDS/IPS, endpoint protection). • Monitor systems for security breaches and lead incident response actions. • Conduct vulnerability assessments and penetration testing. • Enforce security policies, ensuring compliance with internal and external requirements. • Analyze and respond to security events from firewalls, antivirus, and monitoring systems. • Maintain detailed documentation and reporting for all security and IT activities. • Provide security awareness training and promote a culture of security across the organization. Collaboration & Continuous Improvement • Work closely with internal teams to ensure smooth IT operations and secure collaboration. • Evaluate and integrate new IT and security tools and technologies. • Audit systems, assess outcomes, and suggest improvements for performance and security. IT Systems & Infrastructure • Lead and guide the IT team, managing priorities and daily operations to ensure smooth and efficient service delivery. • Build, configure, and maintain the company’s computing infrastructure, including servers, networks, endpoints, and collaboration tools. • Manage user onboarding/offboarding, account setup, and access control. • Provide technical support for end-users, including software installation, troubleshooting, and remote support. • Maintain and support IT systems and endpoints for a global, distributed team. • Oversee IT asset inventory, procurement, and software licensing. • Ensure system uptime and performance through proactive monitoring, updates, and maintenance. • Manage and troubleshoot video conferencing systems and collaboration platforms. • Optimize IT processes to improve efficiency, standardization, and user experience across the organization. Requirements Requirements • 4+ years of proven experience in security engineering and IT administration. • Strong understanding of security principles, networking, and system administration. • Hands-on experience with firewalls, IDS/IPS, endpoint protection, and monitoring tools. • Familiarity with operating systems and platforms (Windows, macOS, Linux, iOS, Android). • Experience with Active Directory and Google Admin Console. • Knowledge of data backup, recovery, and access control practices. • Excellent troubleshooting and problem-solving skills. • Customer service orientation and strong teamwork abilities. • Fluent English.

Description We’re a well-funded cybersecurity startup, and we’re looking for a driven, high-energy BDR to help us scale. If you’re a native English speaker, love the thrill of opening doors, and believe that exceeding targets is just how things should be done, keep reading. What You’ll Do • Generate and qualify new business opportunities across the US market • Run outbound campaigns via LinkedIn, email, and phone • Engage with security and IT decision-makers • Book high-quality meetings and build pipeline • Consistently exceed activity and opportunity targets Requirements What We’re Looking For • Native-level English (spoken and written) • Hungry, ambitious, and highly goal-oriented • Exceptional communication skills and confidence • Resilient, energetic, and self-motivated • Cybersecurity, Networking, SASE or infrastructure knowledge • Previous BDR/SDR experience Why Join Us? • Join a fast-growing, well-funded cybersecurity startup • Work directly with experienced founders • Make a real impact from day one • Competitive compensation with uncapped commissions • Huge growth opportunities in a winning team If challenges excite you, targets motivate you, and overachievement comes naturally, we’d love to hear from you.

Description About the Team We’re a small, experienced, and tight-knit engineering group at Briya, building an advanced AI-powered solution for medical research. Our platform empowers researchers and healthcare organizations to define populations, analyze real-world data, and accelerate scientific discovery responsibly and securely. We’ve been working together for years, driven by a shared mission and a culture that values delivery, ownership, quality, and impact. We’re now looking for another meaningful team member to join us! Someone who loves to build, cares deeply about user experience, and wants to make a real difference in healthcare through technology. Requirements What We’re Looking For • 5+ years of professional experience as a backend developer. • Strong proficiency in a strictly typed programming language (Go, Java, .NET, Typescript) and modern web development. • Experience building and integrating cloud infrastructure (AWS) and Docker/Kubernetes. • Solid understanding of API design, security, and data-driven applications. • A builder’s mindset, curious, responsible, and pragmatic. • Passion for collaboration and for solving meaningful, real-world problems in healthcare. Nice to Have • Experience in developing AI-based products. • Demonstrated familiarity with UI development (React) What You’ll Do • Design and Build Core Applications: Develop and optimize rich, data-centric web applications used by researchers globally, applying a strong focus on backend, infrastructures, architecture and performance • Contribute Across the Stack: Deliver scalable, secure software features end-to-end. This includes seamlessly integrating the backend with UI applications, other microservices and contributions to our infra domain (K8s, Docker, Terragrunt) • Collaborate on AI Tools: Partner with UI and AI engineers to integrate our cutting-edge medical AI co-pilot, turning complex data insights into practical, user-friendly features. • Influence Strategy and Culture: Actively participate in architectural discussions and product direction, contributing positively to our team's mission-driven culture of quality and ownership. Job benefits Why Join Us • Be part of a small, highly capable team where every engineer has a real voice and visible impact on the product, the technology, and the mission. • Work with people who care deeply about craftsmanship, collaboration, and purpose — not just shipping features. • Build technology that directly advances medical research and improves lives. • Enjoy autonomy, ownership, and end-to-end responsibility, from concept to production. • Join a company that blends startup agility with a clear, long-term vision to transform healthcare through AI.

Description Popai is on a mission to transform the millions of conversations that happen between care teams and patients every day. We’re building the AI platform that turns every patient interaction into action - helping care teams understand what patients need, close gaps in care, and reach the people who need them most. Our goal is simple but ambitious: make healthcare more proactive, personal, and accessible for millions of patients. What you'll do: As a Senior Product Manager, you will own key product areas end-to-end. This includes: • Defining strategy and roadmap for product lines under your responsibility • Owning product initiatives from discovery through launch and iteration • Collecting requirements through frequent touchpoints with users/stakeholders: interviews, feedback sessions, workflow observations and maintaining relationships (US-based customers) • Working closely with internal teams: Engineering, Data, Customer Success, Business Development, Marketing and more. Build trust, engage people in the mission • Running comprehensive product and market research • Project management — balancing high execution standards with deadlines, while making thoughtful trade-offs and tough decisions • Conducting hands-on work to complement work done by Engineering and Data teams and expedite self-learning Requirements What we’re looking for: • 5+ years of Product Management experience • Great communication skills - able to build trust and strong relationships both internally and with customers • Hands-on willingness — comfortable using advanced AI tools (e.g., Claude, Codex) to independently handle basic data analysis, build lightweight automations, submit simple PRs, and create visual mockups • Sharp analytical thinking - able to distinguish essential from non-essential • Able to steer conversations from open-ended discussion toward clarity, decisions, and execution • Hands-on experience working directly with US clients and stakeholders • Background in Healthcare - significant advantage

Description We're building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents into real business environments, and help organizations move from experimentation to measurable enterprise impact. We believe AI adoption inside the enterprise isn't just a technology challenge. It requires business context, workflow understanding, change management, trust, ownership, and a clear path to value. That's where this role comes in. We are a well-funded, early-stage startup looking for a talented and motivated Backend Engineer specializing in infrastructure to join our founding team. The focus of this role is to build and scale the infrastructure that powers autonomous AI agents automating complex enterprise workflows. You will own the systems, pipelines, and platforms that let our AI agents run reliably, securely, and at scale in production. Your Impact Infrastructure & Platform • Design, build, and own the core infrastructure powering our AI agent platform, from data pipelines to production deployment systems. • Build and scale the backend systems that support high-throughput document processing and data extraction workloads. Cloud Infrastructure and Scalability • Architect and deploy infrastructure on cloud platforms (AWS, GCP, or Azure) with a focus on scalability, reliability, and cost efficiency. • Own containerization and orchestration (Docker, Kubernetes) for all production workloads. • Build and maintain CI/CD pipelines and DevOps practices that let the team ship fast without breaking things. Data Infrastructure • Design and manage data pipelines to process and analyze large volumes of documents and unstructured data at scale. • Build the infrastructure layer connecting AI agents to databases, vector stores, and enterprise systems (ERP, CRM). API & Systems Integration • Build and maintain robust, well-documented APIs connecting AI agents with external systems and enterprise software. • Design for reliability: retries, observability, and graceful degradation across distributed systems. Security and Compliance • Implement authentication and authorization mechanisms (OAuth2, JWT) to secure AI-driven systems. • Ensure compliance with data privacy standards (e.g. GDPR, HIPAA) and drive best practices for secure data handling across the infrastructure. Monitoring and Optimization • Build observability and monitoring systems to track infrastructure health, performance, and cost. • Continuously optimize system performance for speed, reliability, and cost-efficiency at scale. Collaboration • Work closely with AI/ML engineers, product, and the founding team to make sure infrastructure decisions support fast iteration and production-grade reliability. • Participate in code reviews, design discussions, and architecture planning to drive infrastructure strategy. Requirements What It Takes Experience • 5+ years of experience in backend or infrastructure engineering, ideally supporting production AI/ML systems or high-throughput data pipelines. • Proven track record of building and scaling infrastructure in production environments. Technical Skills • Proficiency in Python. • Databases: Proficiency in SQL (PostgreSQL, MySQL) and NoSQL (e.g. Document DB, Vector DB). • Cloud: Deep experience deploying and scaling large production applications on AWS, GCP, or Azure. • Containerization and orchestration: Docker, Kubernetes. • Security: Strong understanding of OAuth2, JWT, and best practices for securing distributed systems. Nice To Have • Experience with RPA (Robotic Process Automation) tools. • Familiarity with graph databases (Neo4j) for managing complex workflows. • Familiarity with Go and Rust. • Experience working alongside AI/ML teams using frameworks like TensorFlow, PyTorch, or Hugging Face.

Description About us We build the context layer for engineering organizations. We connect code, runtime telemetry, data lineage, and operational systems into one live model of how software runs, then give AI agents that model through chat and MCP. What you'll do • Own the evaluation function for all Cobalt agents: code Q&A, change-impact analysis, incident response, and MCP tool use by coding agents. • Design and build eval harnesses and benchmarks, with ground truth taken from merged PRs, production traces, and code. • Define and track agent performance metrics: recall and precision, cost per correct answer, tool-call efficiency, latency, and failure modes. • Run controlled comparisons across models, prompts, retrieval strategies, and baselines, with statistical rigor. • Diagnose agent failures in retrieval, reasoning, and tool design, and drive the fixes with engineering. • Build regression suites in CI that score every model, prompt, and connector change before release. • Lead external research, including ownership of research papers. • Set the research agenda and mentor future hires. Requirements Requirements • 7+ years in ML/NLP research or applied AI, including evaluating LLMs or agents. • A track record of designing benchmarks: task sampling, contamination control, scoring methods, and power analysis. • Deep knowledge of agent architectures: tool use, retrieval, multi-step planning, MCP or similar protocols. • Expert Python, and production-quality eval infrastructure you have shipped. • Experience leading research projects end to end, from design to publication or product. Nice to have • Publications at NeurIPS, ICLR, ACL, ICSE or FSE on LLM evaluation, code intelligence or agents. • Experience with repo-level code benchmarks (SWE-bench-style). • Experience with LLM-as-judge methods and their known failure modes. • A background in distributed systems, observability data, or large codebases. Why join • Enterprise ground truth: thousands of repos, live traces and production incidents. • Your evals decide what ships. • A founding role in the research function.