About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and related services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services.

About Engineering Quality at LawnStarter

Our QA team is growing, and we're investing real money in better test coverage. We already have shared quality standards and a QA squad that organizes itself horizontally across teams. What we don't have is someone dedicated to owning that vision: every QA is heads-down on their own team, so nobody has the room to drive the standards forward, unify how the squad works, or push the state of the art. That's the gap this role fills. It's not a nice-to-have we're adding because things are going well. It's the structure and leadership we need to make what we've already built actually compound.

The Role

You'll be LawnStarter's first Principal Quality Engineer, reporting directly to the Head of Engineering. We already have quality standards, working CI/CD gates, and AI tooling in the mix. Nobody owns the vision behind all of it, drives it forward, or leads the QA squad that keeps it running. You will.

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and related services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services.

About Engineering Quality at LawnStarter

Our QA team is growing, and we're investing real money in better test coverage. We already have shared quality standards and a QA squad that organizes itself horizontally across teams. What we don't have is someone dedicated to owning that vision: every QA is heads-down on their own team, so nobody has the room to drive the standards forward, unify how the squad works, or push the state of the art. That's the gap this role fills. It's not a nice-to-have we're adding because things are going well. It's the structure and leadership we need to make what we've already built actually compound.

The Role

You'll be LawnStarter's first Principal Quality Engineer, reporting directly to the Head of Engineering. We already have quality standards, working CI/CD gates, and AI tooling in the mix. Nobody owns the vision behind all of it, drives it forward, or leads the QA squad that keeps it running. You will.

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and related services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services.

About Engineering Quality at LawnStarter

Our QA team is growing, and we're investing real money in better test coverage. We already have shared quality standards and a QA squad that organizes itself horizontally across teams. What we don't have is someone dedicated to owning that vision: every QA is heads-down on their own team, so nobody has the room to drive the standards forward, unify how the squad works, or push the state of the art. That's the gap this role fills. It's not a nice-to-have we're adding because things are going well. It's the structure and leadership we need to make what we've already built actually compound.

The Role

You'll be LawnStarter's first Principal Quality Engineer, reporting directly to the Head of Engineering. We already have quality standards, working CI/CD gates, and AI tooling in the mix. Nobody owns the vision behind all of it, drives it forward, or leads the QA squad that keeps it running. You will.

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and related services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services.

About Engineering Quality at LawnStarter

Our QA team is growing, and we're investing real money in better test coverage. We already have shared quality standards and a QA squad that organizes itself horizontally across teams. What we don't have is someone dedicated to owning that vision: every QA is heads-down on their own team, so nobody has the room to drive the standards forward, unify how the squad works, or push the state of the art. That's the gap this role fills. It's not a nice-to-have we're adding because things are going well. It's the structure and leadership we need to make what we've already built actually compound.

The Role

You'll be LawnStarter's first Principal Quality Engineer, reporting directly to the Head of Engineering. We already have quality standards, working CI/CD gates, and AI tooling in the mix. Nobody owns the vision behind all of it, drives it forward, or leads the QA squad that keeps it running. You will.

Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta. We are hiring a Data Engineer to own the layer everything else depends on: ingestion and transformation pipelines, storage and warehouse design, and the retrieval infrastructure that AI systems query. The role is fully remote across Latin America, aligned to your client's working day.

You will not be building pipelines that work until the schema changes. Azumo has shipped production data systems since 2016, and the work here is judged downstream: whether a model can be trained on what you deliver, whether a retrieval query returns the right passage, whether a number survives being questioned by the client.

Where this role sits

Azumo's engineering organization is built around four lanes. The Data Scientist lane owns the question and the method. The AI Engineer lane owns production behavior. The Software Engineer lane owns AI-augmented product delivery. This role is the Data Engineer lane, and it owns pipelines, storage, and the retrieval layer.

One question places the boundary: when the output is wrong, whose problem is it? "The data was missing, stale, or wrong by the time it arrived" is yours."The system did the wrong thing with data that was correct" is the AI Engineer's.

Not quite your profile? Check our other openings:

Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta. We are hiring an AI Engineer to own what those systems do once they are live: retrieval pipelines, tool-using agents, evaluation harnesses, and the guardrails that keep them dependable in front of real users. The role is fully remote across Latin America, aligned to your client's working day.

You will not be building demos. Azumo has shipped production AI since 2016, and the work here starts where the prototype ends, making a system reliable, measurable, and affordable enough to put in front of customers.

Where this role sits

Azumo's engineering organization is built around four lanes. The Data Engineer lane owns pipelines, storage, and the retrieval layer. The Data Scientist lane owns the question and the method. The Software Engineer lane owns AI-augmented product delivery. This role is the AI Engineer lane, and it owns production behavior.

One question places the boundary: when the output is wrong, whose problem is it? "The method was inappropriate" is a Data Scientist question. "The system did the wrong thing with an appropriate method" is yours.

Not quite your profile? Check our other openings:

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 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 looking for an AI Engagement Lead / AI Engineering Pod Lead who can combine strong client and project leadership with hands-on expertise in AI/ML and Generative AI engineering. The role will involve approximately 50% engagement/project management and coordination and 50% hands-on technical leadership and AI engineering.

Responsibilities:

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 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 looking for an AI Engagement Lead / AI Engineering Pod Lead who can combine strong client and project leadership with hands-on expertise in AI/ML and Generative AI engineering. The role will involve approximately 50% engagement/project management and coordination and 50% hands-on technical leadership and AI engineering.

Responsibilities:

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and related services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services.

About Engineering Quality at LawnStarter

Our QA team is growing, and we're investing real money in better test coverage. We already have shared quality standards and a QA squad that organizes itself horizontally across teams. What we don't have is someone dedicated to owning that vision: every QA is heads-down on their own team, so nobody has the room to drive the standards forward, unify how the squad works, or push the state of the art. That's the gap this role fills. It's not a nice-to-have we're adding because things are going well. It's the structure and leadership we need to make what we've already built actually compound.

The Role

You'll be LawnStarter's first Principal Quality Engineer, reporting directly to the Head of Engineering. We already have quality standards, working CI/CD gates, and AI tooling in the mix. Nobody owns the vision behind all of it, drives it forward, or leads the QA squad that keeps it running. You will.

About Zyte

At Zyte, we eat data for breakfast, and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 250 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data.

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. Today, the data we extract helps thousands of organizations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

The Role

Zyte is looking for a Head of IT to lead our internal technology function into the AI era. This is emphatically not a helpdesk-manager role: at Zyte, internal IT is an engineering and enablement discipline. You will own the systems the whole company runs on: our business applications, the integrations and automation that connect them, our identity and security backbone, and, front and center, the internal AI tooling that is changing how every Zytan works.