About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M 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.

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking an experienced Data Engineer to join our team, specifically focused on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. We are seeking an experienced and dynamic professional to play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms. This role will help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals.

Requirements

Location: New York, United States (Hybrid) 

Hybrid | Full-time

Compensation: $180K - $320K

Our client is a high-volume decentralized finance (DeFi) protocol based on Arbitrum, facilitating leveraged trading of real-world assets—including commodities, forex, indices, and equities—alongside crypto with full self-custody.

The client is seeking a Senior Data Engineer to spearhead infrastructure initiatives, optimize high-throughput data processing, and establish modern data engineering best practices. This role will focus on scaling data pipelines and building an advanced infrastructure layer that empowers engineering teams with self-service capabilities for deploying applications, requesting infrastructure, and managing monitoring systems.

Key Responsibilities

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M 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 Engineering at LawnStarter

We build in small, focused initiative teams: a Product Engineer working alongside a PM and a designer, supported by an Engineering Manager who helps you grow. You'll also work shoulder-to-shoulder with engineering peers across initiatives in a shared codebase. The whole team owns whether the work moves its metric.

AI coding agents are a force multiplier here — they give a small, senior team the leverage to ship more, faster, and at a higher bar for quality. We hire engineers who are wired for ownership and energized by shipping to a real marketplace with customers and pros on both sides.

The Role

You're the engineering anchor of an initiative — working as part of a tight team with your PM and designer, and alongside engineering peers on adjacent initiatives. You have a hand in the full lifecycle: shaping the problem, deciding the technical approach, directing AI agents to implement much of the code, shipping to production, and — with your team — owning the outcome.

We are hiring on behalf of our client, an elite, venture-backed digital asset infrastructure firm who is seeking a strategic and highly autonomous Founding Data Lead. Backed by top-tier Web3 investors including Paradigm and Dragonfly, the client is building foundational, institutional-grade stablecoin infrastructure and full-service platforms to transform how global value moves.

As the Founding Data Lead, the successful candidate will build the organization’s data and analytics function from the ground up. This role offers high visibility and immense autonomy, with ownership over how data is defined, structured, and utilized across every facet of the business. By mapping data across the entire stack—encompassing onchain, product, financial, and operational data—this individual will translate raw behavioral and transactional metrics into actionable insights that directly shape product development, investment strategies, and growth trajectories.

Key Responsibilities

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M 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 Engineering at LawnStarter

We build in small, focused initiative teams: a Product Engineer working alongside a PM and a designer, supported by an Engineering Manager who helps you grow. You'll also work shoulder-to-shoulder with engineering peers across initiatives in a shared codebase. The whole team owns whether the work moves its metric.

AI coding agents are a force multiplier here — they give a small, senior team the leverage to ship more, faster, and at a higher bar for quality. We hire engineers who are wired for ownership and energized by shipping to a real marketplace with customers and pros on both sides.

The Role

You're the engineering anchor of an initiative — working as part of a tight team with your PM and designer, and alongside engineering peers on adjacent initiatives. You have a hand in the full lifecycle: shaping the problem, deciding the technical approach, directing AI agents to implement much of the code, shipping to production, and — with your team — owning the outcome.

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 Associate Director / Senior Manager of Data Science to lead high-impact applied ML and analytics initiatives. This role combines deep technical expertise, strong experimentation rigor, and business leadership to influence product direction and drive measurable outcomes at scale.

Responsibilities:

Location: Remote - Europe

Remote | Full-time

Compensation: $110K - $125K

We are hiring on behalf of our client who is a premier infrastructure provider within the decentralized web (Web3) ecosystem, serving as the critical connectivity layer for tens of thousands of applications and millions of users globally. Having established a dominant market position, the organization is now expanding its horizons by launching a sophisticated payments solution.

This new initiative enables merchants and payment providers to utilize blockchain rails for stablecoin checkouts, payouts, and deposits, already reaching millions of terminals worldwide through strategic global partnerships.

The data systems supporting this infrastructure are foundational to the company's success. As the organization transitions from MVP pipelines to a scalable production architecture, there is a need for a Senior Data Engineer to join the team. This individual will help design and operate the data foundation behind a global payments network, ensuring that systems tracking wallet connections, transaction health, and financial reconciliations are as reliable as the payment flows themselves.

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 a Senior Manager / Associate Director of Data Science to lead high-impact applied ML and analytics initiatives. This role combines deep technical expertise, strong experimentation rigor, and business leadership to influence product direction and drive measurable outcomes at scale.

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. Various market research firms, including Forrester and Gartner, has recognized our business value and leadership. We are headquartered in Silicon Valley and have our global delivery center in Chennai, India. If you are passionate about working on unstructured business problems that can be solved using data and are excited about building, leading, and enabling a team of analytics professionals toward that objective, we would like to talk to you.

We are seeking a highly experienced AI Tech Partner with 18+ years of experience to lead enterprise-scale AI and data transformation initiatives. This role blends deep technical expertise with strategic business leadership to drive innovation, build scalable AI ecosystems, and deliver measurable business value across client engagements.

Responsibilities