Junior Data Analyst (Product Focus)

Location: London, New York City (Office)

Compensation: $175K - $225K + Tokens/Equity

We are seeking a motivated Junior Data Analyst who is eager to learn, grow, and make a significant impact in a fast-paced environment at the intersection of consumer technology and next-generation finance. In this role, you will play a crucial part in supporting data initiatives across our product, helping various teams make informed decisions through clear analysis, reporting, and insight generation.

You will work closely with senior data staff while gradually taking on more ownership as you develop your skills in a supportive, high-autonomy environment.

As a Junior Data Analyst, you will support critical data initiatives, translating raw data into actionable insights that directly influence product strategy and user experience. You will be instrumental in tracking key performance indicators (KPIs) and uncovering opportunities for growth and optimization.

Software Engineer (Backend/Fullstack)

Full-time | On-site

Location: San Francisco, CA

We are building a generative AI and Low-code customer support automation platform dedicated to bringing effortless customer and agent experiences to every company. We are seeking a Mid-level Software Engineer to take the lead in designing and scaling the core distributed systems that power our next-generation AI agents.

This is a hands-on, high-impact role for a fast-moving engineer who will drive architectural decisions and technical direction, working directly with the company founders. You will own the full feature lifecycle, from initial concept to high-scale production deployment.

What You'll Do:

Senior AI Engineer (Product Focus)

Full-time | Remote

Location: USA

We are a technology company focused on empowering teams by combining cutting-edge software with expert insights. We are seeking a highly skilled Senior AI Engineer to play a key role in integrating and optimizing Large Language Models (LLMs) to deliver transformative value across our platform. This is a highly collaborative, product-focused role operating within a remote-first environment.

You will own the technical execution and continuous improvement of all LLM-powered features across our product suite. Your work will involve deeply integrating AI capabilities into our backend systems to enhance user experience and deliver intelligent capabilities.

What You'll Own:

Member of Technical Staff - Model Engineer

Full-time | On-site

Location: San Francisco

We are seeking a founding Member of Technical Staff to join our core AI team and drive the modernization of a foundational global industry. This role offers the chance to work directly with the company's founders to define the technical direction and build AI from the ground up, combining hardware, software, and operations.

As a Model Engineer, you will be deeply involved in the entire lifecycle of model development, from research and data preparation to production deployment in real-world systems. You will play a crucial role in building the AI capabilities that enable a vertically integrated infrastructure platform.

What you'll do:

Full Stack Engineer (Founding Focus)

Full-time | On-site

Location: San Francisco, CA

We are a rapidly growing, founder-led AI platform transforming how key industries interact with critical government contract opportunities. We are seeking a highly motivated Full Stack Engineer to be the Founding Engineer responsible for building the core data pipeline and user-facing experience of our product. This role is ideal for an ambitious individual passionate about applying AI to solve mission-critical national security challenges.

This is a pivotal, high-impact role where you will own the end-to-end delivery of essential product features. You will be responsible for turning a massive volume of complex government data into actionable intelligence for our users.

Key Responsibilities:

Engineering Manager

Full-time | On-site

Location: New York City or San Francisco

We are a rapidly growing AI platform leveraging real-time data ingestion, comprehension, and summarization across text, audio, and video to provide actionable insights for communications. We are seeking a dynamic Engineering Manager to build, lead, and scale our core engineering team as we accelerate growth and serve enterprise-grade customers.

The Engineering Manager will be responsible for both technical strategy and people leadership, ensuring the team operates with urgency, rigor, and a focus on long-term scalability. This role requires a balance of hands-on technical work, mentorship, and cross-functional product collaboration.

What You Will Do:

Founding Software Engineer - AI Evaluation & Data Infrastructure

Location: San Francisco

compensation: $150K - $240K

We are building the most complex infrastructure that powers frontier data creation for agentic and hard reasoning workflows, helping push the frontier of LLMs and AI Agents. We work with all 5 of the leading AI labs and are experiencing sharp hockey stick growth. We are seeking a Founding Software Engineer with end-to-end ownership to build the systems that power data and evaluation for the next generation of AI.

This is a dynamic, high-impact role that offers immense breadth of ownership over projects that push the frontier of AI evaluation. You will move fluidly across the entire stack, from research prototyping to distributed cloud infrastructure and user-facing analytics. You must be comfortable with constant context switching and relentless shipping in a talent-dense environment.

What You’ll Do:

Founding Engineer - AI Data Cleaning & Financial Infrastructure

Location: On site - New York

Compensation: $150,000 – $250,000

We are a high-growth, YC-backed company building the clean data layer for everyone, starting with financial firms. Our platform solves complex data cleaning challenges, delivering accurate, refined data via a simple API that integrates effortlessly into existing ELT pipelines, combining the best of AI and expert human review. We are seeking a Founding Engineer to design, build, and scale our core AI-powered data systems.

This is an unparalleled opportunity to join an early team and drive both the product strategy and the technical direction of the company. You will have immense impact and ownership, working across the entire stack to create a reliable and accurate data platform. You must be a strong engineer excited to work at the intersection of production software and frontier AI/LLM technologies.

What You’ll Do:

Engineering Manager (Player-Coach) - AI & Real-Time Data Platform

Location: On site - San Francisco or New York

We are an ambitious, high-growth AI and Media startup, redefining how organizations comprehend, summarize, and act on insights from real-time traditional and social media data (text, audio, and video). We are seeking a hands-on Engineering Manager to build, lead, and scale our engineering team, driving technical excellence and a high-velocity culture as we rapidly expand our enterprise-grade platform.

This is a critical player-coach role where you will blend technical leadership with hands-on contribution. You will set the technical direction for our stack, scale our infrastructure for enterprise customers, and build a high-performing team. Success requires a constant balance between shipping with urgency to meet customer demands and making sound architectural decisions to ensure long-term scalability and reliability.

What You Will Do:

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.

The DE + AI Solutions Engineer will design, build, and deploy advanced data, Generative AI (Gen AI), and Agentic AI solutions for key client projects. This role requires deep, mandatory hands-on expertise in Microsoft Azure and Databricks, focusing on translating complex business requirements into scalable, production-grade code, pipelines, and infrastructure.

Requirements

Client Engagement & Delivery:

• Collaborate directly with client stakeholders to gather requirements, present technical solutions, and manage expectations.

Technical Leadership & Expertise: