About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care into the one-stop shop for all home services. Getting there depends on how fast we can test, learn, and scale what works.

About the Data Team

We're a high-leverage team of Product Data Analysts embedded across the business, owning the semantic layer and the metrics everyone trusts. The experimentation program runs on real rigor, not vibes: pre-registered analysis plans gate every test launch, anytime-valid statistics keep mid-run dashboards honest under continuous viewing, automated daily SRM and attribution health sweeps catch broken tests early, and seasonal power forecasting accounts for a business that swings hard by time of year. The test lifecycle, design through readout, is already AI-driven. Our analysts are stretched across product, so Growth support has stayed part-time and reactive, until now.

The Role

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M 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 Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company, product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together, the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them, which is exactly the job we're hiring for.

The Role

Gritter Francona is seeking a Management Analyst to support strategy and planning for senior management to align IT initiatives with strategic goals and business needs.

Responsibilities:

We are looking for an experienced Salesforce Sales & Service Cloud Developer to join a client project in the UAE. The ideal candidate will have strong hands-on experience designing, developing, and implementing Salesforce solutions across Sales Cloud and Service Cloud, with a proven track record of delivering enterprise-grade implementations and integrations.

This role requires someone who can work closely with business stakeholders and technical teams, translate business requirements into scalable Salesforce solutions, and contribute throughout the implementation lifecycle.

Key Responsibilities

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care into the one-stop shop for all home services. Getting there depends on how fast we can test, learn, and scale what works.

About the Data Team

We're a high-leverage team of Product Data Analysts embedded across the business, owning the semantic layer and the metrics everyone trusts. The experimentation program runs on real rigor, not vibes: pre-registered analysis plans gate every test launch, anytime-valid statistics keep mid-run dashboards honest under continuous viewing, automated daily SRM and attribution health sweeps catch broken tests early, and seasonal power forecasting accounts for a business that swings hard by time of year. The test lifecycle, design through readout, is already AI-driven. Our analysts are stretched across product, so Growth support has stayed part-time and reactive, until now.

The Role

At GoMining, a General Manager is the end-to-end owner of a business direction, responsible for its strategy, P&L, product, team, and overall results. A GM combines business, product, and operational ownership — setting priorities, managing unit economics, driving execution, and making decisions based on data. The goal is to run the direction as a business and take full responsibility for its growth, profitability, and performance.

We are looking for a General Manager to own Custody & Compliance at GoMining — the business line responsible for how customers move funds into and out of our ecosystem safely, quickly, and reliably.

This is not a traditional compliance role. You will own the entire direction as a business and product — from custody infrastructure and KYC/AML to deposits, withdrawals, Travel Rule, fraud controls, provider relationships, and customer experience.

Your goal is to build a system where compliance protects the company without becoming an unnecessary barrier for legitimate customers.

You will own the strategy, economics, product roadmap, delivery, key metrics, and engineering team behind the direction.

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:

Join Excelya, where Audacity, Care and Energy define who we are and how we work. We believe in creating ambitious solutions and fostering an inclusive environment where collaboration and individual growth go hand in hand.

This role offers an exciting opportunity to support a strategic productivity initiative within a leading pharmaceutical R&D environment. As a Data Manager – Efficiency Engine, you will contribute to improving operational efficiency, optimizing data workflows, and implementing automation solutions to accelerate project delivery within Research and Translational Medicine activities.

Key Responsabilities :

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.