About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $750M in bookings. We're expanding beyond lawn care to become the one-stop shop for home services: three brands (LawnStarter, Lawn Love, Home Gnome), one shared platform.

About Product at LawnStarter

Our BHAG: 1+ job per household, every year. Getting there means winning on four fronts at once: more customers, more Pros, excellent service for both sides, and an AI-run company that moves faster than its size should allow.

About the First Service Experience at LawnStarter

Every new customer meets us the same way. They land on our home page or marketing site, then move through a signup and booking flow where they get a quote, pick a service and a schedule, and pay. That flow runs across all three brands and brings in most of the company's new customers.

We built it many years ago. It's too long, and we lose customers at too many steps. So the real question isn't how to remove a step. It's whether the experience designed still makes sense at all, or whether it should be rethought entirely as an AI-native, agentic experience.

The Role

About Zyte

Zyte is a leader in web data extraction. Our full-stack Zyte API and world-class data services help thousands of companies, from individual developers to global enterprises, turn the web into reliable, structured data. We're a remote-first, globally distributed team that ships fast and lets results speak.

This is a transformative moment for web data, and AI is reshaping both sides of the market. The world needs web data more than ever: to train models, power agents and feed AI applications, so the audience for web data is exploding - creating new personas and new buying journeys almost overnight. At the same time AI is changing how that data is collected - from manual work by engineers to automation with AI.

Zyte is unique in solving both challenges of web data - the software needed for reliable access to websites and the AI and skills needed to turn web content into structured data. We have an important mission in the AI revolution.

The role

We're hiring a Senior Growth Product Manager to lead our self-serve acquisition and growth journeys across the channels used by personas hungry for web data. Our users are engineers, data teams and the builders of AI agents, and your job is to understand what they seek, what they try first and what convinces them to stay.

About Tiger Analytics

Shape the Future of AI. Transform the World's Leading Businesses.

Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.

We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India

At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it

We are seeking a hands-on, highly skilled Senior Data Scientist to join our advanced analytics and AI team supporting some of our large enterprise clients. In this role, You'll build the decisioning engine behind next best action (NBA) and next best content (NBC) for commercial teams. The work covers modeling, offline evaluation, and production deployment on Databricks.

Key Responsibilities:

Shape the Future of AI. Transform the World's Leading Businesses.

Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.

We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India

At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it.

We are seeking a hands-on, highly skilled Senior Data Scientist to join our team in Atlanta, GA. In this role, you will work closely with enterprise clients in the Banking and Financial Services sector to design, develop, and deploy cutting-edge machine learning and predictive models. You will be responsible for translating complex financial business challenges into robust AI/ML solutions and writing clean, scalable code.

What you will be doing

Location: San Francisco, United States (Office)

On-Site | Full-time

Compensation: $150K - $200K

We are hiring on behalf of our client. An elite, stealth-stage hardware company based in San Francisco who is seeking a Founding Electrical Engineer to help design and build a first-of-its-kind autonomous circuit board fabrication platform. The client’s technology is engineered to transform raw ideas into finished, fully tested circuit boards in record time, unlocking rapid iteration for hardware innovators nationwide.

This role is ideal for a hands-on builder who thrives in high-ownership, fast-paced environments. The selected engineer will personally design, bring up, and debug critical electrical systems across custom circuit boards, test and measurement rigs, sensing, motion control, and embedded firmware.

As a founding team member, this engineer will tackle unsolved, cross-disciplinary physical problems with full autonomy, from schematic capture and benchtop debugging to deploying working systems on physical machines operating within micron-level tolerances.

Key Responsibilities:

Location: San Francisco, UNITED STATES (Office)

On-Site | Full-time

Compensation: $150K - $200K

Our client is an early-stage hardware company building advanced automated process cells that unite precision machinery, board handling, assembly, and electrical testing into a single, high-speed iteration loop.

They are seeking a highly hands-on Founding Mechanical Engineer to own the design, prototyping, and validation of core physical mechanisms. This individual will directly design and build precision assemblies, motion systems, custom fixtures, and robotic handoffs designed for repeatable, high-cycle performance.

This is an intensive, high-ownership role based fully on-site in San Francisco. The ideal candidate thrives in a fast-paced hardware development environment, favors practical bench-testing over prolonged CAD cycles, and takes pride in taking complex physical problems from messy prototypes to fully functioning automated systems.

Key Responsibilities:

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 Zyte

Zyte is a leader in web data extraction. Our full-stack Zyte API and world-class data services help thousands of companies, from individual developers to global enterprises, turn the web into reliable, structured data. We're a remote-first, globally distributed team that ships fast and lets results speak.

This is a transformative moment for web data, and AI is reshaping both sides of the market. The world needs web data more than ever: to train models, power agents and feed AI applications, so the audience for web data is exploding - creating new personas and new buying journeys almost overnight. At the same time AI is changing how that data is collected - from manual work by engineers to automation with AI.

Zyte is unique in solving both challenges of web data - the software needed for reliable access to websites and the AI and skills needed to turn web content into structured data. We have an important mission in the AI revolution.

The role

We're hiring a Senior Growth Product Manager to lead our self-serve acquisition and growth journeys across the channels used by personas hungry for web data. Our users are engineers, data teams and the builders of AI agents, and your job is to understand what they seek, what they try first and what convinces them to stay.

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: