At Zyte, we're pioneering the next revolution in web data extraction, empowering businesses to focus on innovation. Companies often struggle with challenges like navigating dynamic web structures, countering anti-scraping measures, and ensuring data accuracy. We tackle these obstacles by providing best-in-class tools for seamless, reliable web data extraction. With over a decade of expertise, we've become the trusted solution for over 3,000 companies and a million developers, helping them achieve a competitive edge and drive sustainable growth.

We are a diverse and enthusiastic team of data nerds, tech aficionados, and hackers. At Zyte, you'll join an inclusive community where everyone belongs. We thrive on collaborating with our smart, passionate teammates and customers to solve complex problems in data science and engineering.

Join us and be part of the data revolution!

About the Job

Reverse engineering is at the heart of how Zyte stays ahead in the banning war. We've cracked some of the hardest antibots on the web — but the ground shifts weekly: antibots ship new sensor formats overnight, obfuscation schemes mutate, and new fingerprinting surfaces appear faster than any team could chase by hand.

We are looking for a Senior Data Analyst to lead product analytics across the GoMining ecosystem.

You will own the development of our product analytics capabilities — from event tracking and funnel analytics to A/B testing infrastructure, AI-powered insights, and product performance reporting.

This role is ideal for someone who combines deep analytical expertise with hands-on experience building scalable analytics systems and leveraging AI to improve decision-making.

We are looking for a Senior Data Analyst to lead Retention & Marketing Analytics across the GoMining ecosystem.

You will partner closely with our Marketing and CRM teams to build a data-driven retention strategy — from customer segmentation and lifecycle analytics to A/B testing, personalization, and automated performance insights.

This role is ideal for someone who combines strong analytical expertise with a deep understanding of user behavior, CRM, and retention mechanics.

Tiger Analytics is looking for experienced Forward Deployment Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Role Overview

The Forward Deployment Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). You will bridge the gap between AI research and production-grade cloud infrastructure.

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

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.

Tiger Analytics is looking for a highly experienced Infra Solution Architect to lead enterprise-scale modernization and digital transformation initiatives. The ideal candidate will have deep expertise in AWS and Databricks, extensive experience designing enterprise architecture, and the ability to engage with CXO-level stakeholders to define future-state architectures. This role requires strong consulting, advisory, and technical leadership skills to drive solutioning approaches, and enterprise decision-making.

Requirements

Tiger Analytics is looking for experienced Forward Deployed Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Role Overview

The Forward Deployed Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). You will bridge the gap between AI research and production-grade cloud infrastructure.

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

Location: Remote - Based in the United States

Remote  | Full-time

Compensation: $220K - $300K

Job Description

We are hiring on behalf of our client, an elite team of engineers and cryptographers building the infrastructure behind the next generation of financial systems who are seeking a Senior Infrastructure Engineer. This position is responsible for designing, operating, and scaling the core systems that power a highly secure, high-performance platform.

The successful candidate will build and maintain the infrastructure supporting wallet services, transaction processing, and blockchain integrations. Operating at the intersection of distributed systems, cybersecurity, and cloud infrastructure, this individual will ensure the platform remains exceptionally reliable, secure, and performant. This role extends beyond routine infrastructure operations; it requires a strategic mindset to design resilient architectures, automate complex operations, and continuously optimize deployment, monitoring, and security protocols. The engineer will collaborate closely with cross-functional engineering, product, and security teams to deliver an infrastructure capable of handling intensive, real-world financial workloads.

Key Responsibilities

Alumil, one of the most evolved and technologically advanced groups in research, development and producing of architectural aluminium systems in Europe, desires to cover the following position:

Sales Operations Manager

About us…

Alumil brings the best of us forward. Our mission is to deliver the creativity of all the Alumilers and thus make the world a more sustainable place. Afterall, “meraki” in Greek, means spirited work, without forcing yourself to be someone you’re not. Be you, be unique, make the difference, that’s the most precious thing to us. Responsibility, innovation, inclusion, sustainability and teamwork are the keywords we focus on.

Build excellence with us every day.

The role

Location: Shanghai · Onsite

Onsite | Full-time

Compensation: $100K–$200K + equity

We are hiring on behalf of our client, an innovative, collaborative financial technology platform who is seeking an exceptional AI Engineer to join its growing team. The employer provides a no-code, quantamental investing platform that empowers investors to build, share, and remix financial playbooks, seamlessly turning complex financial ideas into live, interactive strategies.

In this role, the successful candidate will focus on building and shipping sophisticated AI agents designed to automate the investment research workflow. This includes automating idea generation, data analytics, trend monitoring, strategy development, and backtesting. The position is available on a full-time basis and can be based on-site in Shanghai. For exceptional candidates in the US West Coast, remote arrangements will also be considered.

Key Responsibilities

Senior Quality Engineer

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Engineering at LawnStarter

We've spent the last two years rebuilding the platform from the ground up: new customer app, new Pro onboarding, job distribution engine, and data infrastructure. The foundation is solid. Now we're moving into expanded service verticals, dynamic pricing, and AI-powered features at scale. Quality needs to keep up.

Our stack is PHP (Laravel) and React/React Native, with Cypress as our primary test framework. We actively use Claude Code as part of our engineering workflow, not as an experiment, but as a core part of how we work.

The Role

As we scale into new service verticals and grow the engineering team, quality can't be reactive. This role exists to make quality proactive: owning the automation coverage, shaping the bug process, and partnering closely with Product, Design, and the Data team to catch problems before they reach customers.