About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and related services, with over $100M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all outdoor home services - pest control, pool cleaning, window cleaning, and more.

About Engineering at LawnStarter

Our engineering team builds the platform that connects hundreds of thousands of homeowners with over 70,000 active service pros. We operate three brands (LawnStarter, Lawn Love, HomeGnome) on shared infrastructure, and we're profitable and growing. Engineering here is fast - we ship constantly, we own our systems end-to-end, and we don't tolerate "not my problem." We have strong processes and existing engineering managers, so you're not building from scratch. You're raising the bar.

The Role

We're growing, and that means adding engineering leadership capacity to support new initiatives. You'll lead cross-functional delivery teams of 4–5 engineers, reporting to our Head of Engineering. Your job is to make sure your team ships reliably, grows professionally, and doesn't become a bottleneck as LawnStarter scales into new service verticals.

Our team provides quality assurance for mobile games developed by the company. We work closely with game designers, developers, and product stakeholders to ensure high quality, stability, and an engaging player experience across different mobile devices and operating system versions.

We continuously improve our QA processes step by step, focusing on efficient testing practices and product quality.

We are looking for a Manual QA team member who can perform manual testing of mobile games across different devices and operating system versions.

We work remotely, with formal meetings kept to a minimum — one weekly stand-up, and the rest scheduled based on work needs.

Our focus is on maintaining a balance between game quality and business goals to ensure long-term project sustainability and a positive team atmosphere.

We strive to deliver games that we can truly be proud of. 🙂

Requirements

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:

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: Santa Ana, California — on-site
Employment type: Full-time
Salary:  $172,000 – $220,000

About us

Created.ai is an AI-powered creative platform combining text, image and video generation into production tools for commercial creative work. The platform is operated by eJam, a multi-brand consumer products and technology company.

We are expanding our engineering team with two appointments covering our AI platform infrastructure and our product engineering surface. Both roles carry substantial technical ownership and report directly into engineering leadership.

This position is AI-native by design. Our engineers work with agentic coding tools as a primary part of their daily workflow, which allows a small team to operate at a scope that would conventionally require a much larger one. We are looking for engineers whose judgement, architectural thinking and review discipline scale that leverage rather than being replaced by it.

Role summary

We are seeking a Staff Engineer to take ownership of the AI generation services, provider integrations, billing integrity, tenant security and overall platform reliability underpinning created.ai. The role is Python and GCP-first, with sufficient TypeScript proficiency to trace and modify cross-service contracts.

Gritter Francona is looking to hire a Customer Service Technician to support a contract with the Veterans Affairs.

A Customer Service Technician will respond to technical issues escalated by customers. This position will act as a liaison between operations, the client, and Engineering/Development. You are able to respond to end user request for assistance using existing manuals and scripted responses.  Must be able to effectively interact with customers and be able to refer ongoing issues to the appropriate engineering support team.

Requirements

• High school diploma or GED
• Experience with problem solving, debugging, and providing solutions to technical issues
• Ability to prioritize and execute tasks in a high-pressure environment.
• Experience working within a team-oriented, collaborative, agile environment.
• Highly self-motivated and directed with the ability to manage multi-discipline triage calls.
• Experience documenting and communicating work-a-rounds and solutions clearly

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.

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.

About the Role

We are looking for a Mid-Level Frontend Engineer with strong experience in building scalable, customer-facing web applications using React.js and Next.js. The ideal candidate has experience working on production applications, collaborating with cross-functional teams, and writing clean, maintainable, and performant code.

Responsibilities

• Develop and maintain modern web applications using React.js and Next.js.
• Build responsive, reusable, and accessible UI components.
• Collaborate with designers, backend engineers, and product teams to deliver new features.
• Optimize application performance, Core Web Vitals, and user experience.
• Integrate REST APIs and GraphQL services.
• Implement state management solutions such as Redux Toolkit or TanStack Query.
• Participate in code reviews and maintain high code quality.
• Troubleshoot production issues and monitor application performance.
• Contribute to frontend architecture and reusable component libraries.
• Follow Agile development practices and participate in sprint planning.

Requirements

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and related services, with over $100M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all outdoor home services - pest control, pool cleaning, window cleaning, and more.

About Engineering at LawnStarter

Our engineering team builds the platform that connects hundreds of thousands of homeowners with over 70,000 active service pros. We operate three brands (LawnStarter, Lawn Love, HomeGnome) on shared infrastructure, and we're profitable and growing. Engineering here is fast - we ship constantly, we own our systems end-to-end, and we don't tolerate "not my problem." We have strong processes and existing engineering managers, so you're not building from scratch. You're raising the bar.

The Role

We're growing, and that means adding engineering leadership capacity to support new initiatives. You'll lead cross-functional delivery teams of 4–5 engineers, reporting to our Head of Engineering. Your job is to make sure your team ships reliably, grows professionally, and doesn't become a bottleneck as LawnStarter scales into new service verticals.