Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are seeking a Data Architect – Patient Services to join our Life Sciences practice. In this role, you will be responsible for ensuring the integrity and reliability of Patient Services (PS) data and be the primary bridge between external Patient Services Hub vendors and internal enterprise systems. This is a high-impact role combining technical data modeling with operational stewardship, requiring you to drive data quality, investigate complex lineage issues, and ensure that patient data is "analytics-ready" for strategic decision-making.

Responsibilities:

Location: San Francisco, CA, US

On-site | Full-time

Compensation: $170K - $230K•0.15% - 0.30%

A high-growth, venture-backed startup based in San Francisco is seeking an ambitious Full Stack Engineer to join their engineering-driven team. This is a role for an individual who thrives in high-stakes, fast-paced environments where code deployed one night is demoed to thousands the next morning.

Our client provides an agentic Operating System for sales that closes the loop between coaching and execution. Having recently secured a $15M Series A and experiencing 5x ARR growth year-over-year, the organization is scaling rapidly. The engineering culture is defined by radical ownership, speed, and technical excellence. The team is composed of former founders and high-achievers who prioritze impact over process.

This role is strictly on-site five days a week in San Francisco. It is designed for an engineer with "something to prove" who is looking to operate with massive autonomy during a period of hyper-growth.

Key Responsibilities

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are seeking a highly experienced Power BI Consultant / Architect with strong expertise in enterprise BI architecture, semantic modeling, and governance strategy. This role will drive initiatives to showcase Copilot’s natural language query capabilities while advising clients on scalable Power BI adoption within large organizations.

The ideal candidate combines deep technical expertise with strong client engagement and strategic advisory skills, with hands-on experience in Microsoft Fabric.

Key Responsibilities:

Strategic & Advisory

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are seeking a highly experienced Power BI Consultant / Architect with strong expertise in enterprise BI architecture, semantic modeling, and governance strategy. This role will drive initiatives to showcase Copilot’s natural language query capabilities while advising clients on scalable Power BI adoption within large organizations.

The ideal candidate combines deep technical expertise with strong client engagement and strategic advisory skills, with hands-on experience in Microsoft Fabric.

Key Responsibilities:

Strategic & Advisory

Employment: Full-time via MLabs
Engagement: Contracted to a UAE-based enterprise blockchain / fintech client
Location: Remote (Eastern Europe / MENA / India preferred)

MLabs is hiring a Senior L2 Engineer to contribute to the design and development of Layer-2 scaling solutions within a custom blockchain ecosystem supporting enterprise-grade financial systems.

You will work on rollup mechanisms, transaction batching, cross-layer communication, and performance optimization between Layer-1 and Layer-2 environments. This role requires strong blockchain systems knowledge with a focus on scalability, execution logic, and security. The ideal candidate has hands-on experience building or contributing to Layer-2 or scaling infrastructure in production environments.

Responsibilities

• Design and implement Layer-2 scaling components
• Contribute to rollup architecture and transaction batching logic
• Develop cross-layer communication and bridging mechanisms
• Optimize throughput and latency across blockchain layers
• Ensure correctness and security of L2 state transitions
• Collaborate with protocol, smart contract, and infrastructure teams
• Participate in architecture discussions and performance reviews

Requirements

Employment: Full-time via MLabs
Engagement: Contracted to a UAE-based enterprise blockchain / fintech client
Location: Remote (Eastern Europe / MENA / India preferred)

MLabs is hiring a Senior Frontend Engineer (Web3) to support a large-scale blockchain and financial technology program for a UAE-based enterprise client.

You will build secure, high-performance web applications that integrate directly with blockchain infrastructure. This role combines modern frontend engineering with decentralized technologies, requiring strong expertise in React and Web3 integrations. The ideal candidate has hands-on experience integrating smart contracts, wallet providers, and on-chain data into production-grade web applications.

Responsibilities

• Develop and maintain Web3-enabled frontend applications using React and TypeScript
• Integrate smart contracts using Web3 libraries (e.g., ethers.js, web3.js)
• Implement wallet connectivity and transaction flows
• Handle on-chain data fetching and real-time state updates
• Ensure secure and reliable interaction between frontend and blockchain layers
• Optimize performance and user experience in decentralized environments
• Collaborate closely with smart contract, protocol, and backend teams

Requirements

Data Eng - Analytics and GTM

Location: New york

Onsite | Full-time

Compensation: $140K - $220K

We are hiring on behalf of our client, an aggressively growing, well-funded fintech startup (Series A, $27.9M+ raised) on a mission to bring full transparency to global trading. They are replacing the opaque, offshore brokerage model with a transparent, permissionless trading stack built on-chain. By leveraging open, auditable code, we ensure that every trade, deposit, and withdrawal is verifiable. Backed by world-class investors including General Catalyst, Jump, and Susquehanna, they are looking for a Data Engineer to build the analytics engine that will power their next phase of growth.

The Role

As the Data Engineer for Internal Analytics & GTM (Go-To-Market), you will own the data systems that help them understand their users, optimize their growth motion, and drive better decision-making across the business. Your mandate is to turn raw on-chain and product data into reliable, self-serve analytics that fuel acquisition, retention, and revenue.

What You’ll Do

Applied AI Engineer

Location: Austin, TX (Hybrid - 3 days in-office)

Compensation: $200k - $250k base + Equity

Start Date: Q1 2026

We are hiring on behalf of our client who is looking for an exceptional Applied AI Engineer to join their team in Austin. They are a well-funded ($40M) startup backed by top-tier investors like Paradigm and Electric Capital. They are currently rebuilding the infrastructure of the global financial system—bringing it fully on-chain to make it faster and safer. Your mission is to level up their entire organization’s impact by embedding AI deeply into how they engineer and operate. You will stay at the absolute frontier of AI development, ensuring their team evolves from "using AI" to "effectively managing a team of AI agents" with consistent quality and guardrails.

What You Will Do:

Embedded Systems Engineer (Backend & Firmware)

Compensation: $180K - $300K

Location: North America preferred (Would consider South America if can work EST working hours)

We are a lean, high-velocity technical team building the infrastructure that powers the world’s most sophisticated AI models. Our core mission is to democratize access to high-quality public web data at a global scale. We support and power Grass, a massive distributed bandwidth-sharing network and crawler, while simultaneously managing pipelines that process billions of videos, transcripts, and audio files for frontier AI labs.

As an Embedded Systems Engineer, you will be a pivotal member of a small, elite team. This isn't just a firmware role; it’s a hybrid challenge where low-level systems meet high-scale backend architecture. You will lead the effort to architect scalable solutions, optimize networked device firmware, and drive technical excellence to ensure our distributed network remains the backbone of the open web data movement.

Requirements

We are looking for a builder who thrives in a "no red tape" environment and possesses a deep understanding of how software interacts with hardware and networks.

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

We are looking for a highly skilled GenAI Engineer with strong hands-on experience in building, evaluating, and deploying advanced Generative AI systems. The ideal candidate will have deep expertise in agentic frameworks, model fine-tuning, and reinforcement learning, along with a strong focus on experimentation, reliability, and hallucination mitigation beyond prompt engineering.

Requirements