About Us

For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format and deliver web data, quickly, dependably and at scale. And today, the data we extract helps thousands of organisations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Today, over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

About Customer Operations

Customer Operations is the function responsible for the end-to-end operational success of Zyte’s client base, from the moment a customer signs to the ongoing health and performance of Zytes services. The team sits at the intersection of client relationship management, technical delivery and operational excellence. The Service Delivery Manager role sits in the second of these tracks, working closely with the Project Manager team as well as Tech, QA, Product and Commercial teams across the business.

The Service Delivery Manager is the single point of accountability, within their portfolio, for client operations at Zyte, bridging the gap between customer needs and technical delivery. By owning the full service relationship — from day-to-day operations to escalations and KPIs — the SDM ensures reliable, high-quality data services while driving the consistency and trust that underpin long-term client retention.

Who we are:

Financeit is a point-of-sale financing provider serving some of the largest home improvement and retail organizations in Canada. Our platform helps businesses close more sales by offering customers affordable monthly payment options for their next big home improvement, vehicle or retail purchase.

We are small enough that you can make an impact within the company and large enough to make an impact in the market. Financeit is a company where collaboration, inclusivity, fairness, and respect aren’t just ideas that get talked about, but are part of who we are. If such a workplace intrigues you, we hope you’ll join us.

About the role:

Do you love working with multi-disciplinary teams and stakeholders across a wide range of functions to implement and solve data engineering challenges? Are you equally skilled at delivering simple solutions to complex problems and consistently delivering on time? 

We are looking for a skilled and detail-oriented Data Engineer to join our growing data team. In this role, you will be responsible for building and maintaining the data pipelines, models, and infrastructure that deliver reliable, high-quality data to teams across the organization. You will work closely with business stakeholders to ensure our data warehouse is accurate, well-documented, and scalable as the business grows.

What you'll be doing:

About Us

For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format and deliver web data, quickly, dependably and at scale. And today, the data we extract helps thousands of organisations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Today, over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

About Customer Operations

Customer Operations is the function responsible for the end-to-end operational success of Zyte’s client base, from the moment a customer signs to the ongoing health and performance of Zytes services. The team sits at the intersection of client relationship management, technical delivery and operational excellence. The Service Delivery Manager role sits in the second of these tracks, working closely with the Project Manager team as well as Tech, QA, Product and Commercial teams across the business.

The Service Delivery Manager is the single point of accountability, within their portfolio, for client operations at Zyte, bridging the gap between customer needs and technical delivery. By owning the full service relationship — from day-to-day operations to escalations and KPIs — the SDM ensures reliable, high-quality data services while driving the consistency and trust that underpin long-term client retention.

We are looking for a Recruiter who will own full-cycle hiring across the U.S. market, with a primary focus on operations, engineering, and technical roles supporting our data center business.

This is a hands-on recruiting role where you'll work closely with hiring managers, drive sourcing strategies, and deliver an outstanding candidate experience from the first conversation through offer acceptance.

As GTM Lead — GoBTC Pay, you own go-to-market for a product at the start of its life, on both sides of a two-sided market.

Two words we use precisely here. Supply means merchants — the places where Bitcoin can be spent. They are also our paying customer, which makes them unusual: we acquire them like a client and count them like inventory. Demand means payers — the people who choose to spend Bitcoin rather than hold it. They are not our customer, and they are the harder of the two problems: the whole category has struggled for a decade with the question of why anyone would spend an appreciating asset.

You own both sides, they behave nothing alike, and part of your first quarter is establishing how much real demand exists rather than assuming it. You will build the launch playbook once and then run it market by market alongside regional BD Managers, Product and Ops. This is a senior expert role without direct reports, with unusually direct commercial line of sight.

Location: New York, United States (Office) - Must be able to work office based in NYC

On-Site | Full-time

Compensation: $300K - $375K

Our client, a premier venture accelerator backing high-growth technology and emerging-tech startups, is seeking an experienced and self-directed Senior Machine Learning Engineer to join their in-house engineering team in New York City.

Reporting directly to the Chief Technology Officer (CTO), the Senior Machine Learning Engineer will take full ownership of features throughout the product lifecycle—from requirements definition to production deployment. This onsite role requires an entrepreneurial mindset and deep technical execution to turn loosely defined problems into robust, production-ready machine learning and LLM-based systems without reliance on large engineering teams or dedicated project managers.

Key Responsibilities

Location: New York, United States (Office) - Must be able to work office based in NYC

On-Site | Full-time

Compensation: $250K - $350K

We are hiring on behalf of our client, an industry-leading accelerator program focusing on the intersection of blockchain, cryptocurrency, and artificial intelligence is seeking a highly autonomous and proactive Data Scientist to join its core engineering group. Having backed over 300 high-growth startups now collectively valued in the tens of billions, our client provides an exceptional launchpad for high-impact innovation.

In this role, the candidate will report directly to the Chief Technology Officer and take full end-to-end ownership of data products—from defining initial requirements to deploying reliable production systems. This is an entirely onsite role based in New York City (NYC) designed for an ambitious, self-directed builder who thrives in a fast-paced, high-agency environment without requiring extensive product management or dedicated platform engineering support.

Key Responsibilities

As our platform continues to scale, security becomes a core product capability rather than a separate function. We're looking for a Product Security Engineer who can partner directly with engineering teams to build secure systems from the ground up.

This is a highly technical, hands-on role where you'll improve the security of our applications, cloud infrastructure, APIs, and development lifecycle.

Responsibilities

Application Security

• Review application architecture and new product features from a security perspective.
• Identify security vulnerabilities across backend services, APIs, mobile applications, and web platforms.
• Perform threat modeling and security design reviews.
• Support internal and external penetration testing activities.

Secure Development

• Build and improve Secure SDLC across engineering teams.
• Integrate security tooling into CI/CD pipelines.
• Improve developer security practices and provide technical guidance.
• Help engineering teams remediate vulnerabilities.

Cloud & Infrastructure Security

• Improve the security posture of our cloud infrastructure.
• Secure Kubernetes environments, IAM policies, secrets management, and infrastructure components.
• Implement security monitoring and hardening best practices.
• Work closely with Platform and DevOps teams.

Security Automation

Location: Singapore, Singapore (Hybrid) 

Hybrid | Full-time

Compensation: $105K - $145K

Our client is a high-growth crypto prime brokerage building institutional-grade infrastructure for algorithmic trading at scale on the Hyperliquid ecosystem. The organization is seeking an experienced, results-driven Growth Lead to drive institutional adoption, build key ecosystem partnerships, and significantly expand platform Total Value Locked (TVL).

This pivotal role requires an individual who thrives at the intersection of institutional finance and decentralized trading infrastructure. The ideal candidate possesses a strong professional network across market makers, trading firms, and DeFi protocols, alongside the technical fluentness required to engage sophisticated institutional counterparts.

Key Responsibilities

Role Purpose:

The Cloud DevSecOps Engineer is responsible for designing, implementing, and securing cloud-based infrastructure and CI/CD pipelines. The role ensures seamless automation, robust security integration, and efficient monitoring of systems across OCI and GCP environments to enable secure, scalable, and high-performing applications.

Key Responsibilities:

1. CI/CD Pipeline & DevSecOps

• Design, build, and secure CI/CD pipelines using GitHub Actions.

• Integrate automated security testing (SAST/DAST) using SonarQube and related tools.
• Implement and manage GitOps workflows for continuous delivery using ArgoCD.

2. Cloud Infrastructure & Automation