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

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: New York, United States (Office) - Must be able to work office based in NYC

On-Site | Full-time

Compensation: $250K - $350K

We are hiring on behalf of our client, an industry-leading accelerator program focusing on the intersection of blockchain, cryptocurrency, and artificial intelligence is seeking a highly autonomous and proactive Data Scientist to join its core engineering group. Having backed over 300 high-growth startups now collectively valued in the tens of billions, our client provides an exceptional launchpad for high-impact innovation.

In this role, the candidate will report directly to the Chief Technology Officer and take full end-to-end ownership of data products—from defining initial requirements to deploying reliable production systems. This is an entirely onsite role based in New York City (NYC) designed for an ambitious, self-directed builder who thrives in a fast-paced, high-agency environment without requiring extensive product management or dedicated platform engineering support.

Key Responsibilities

We are looking for a Senior Data Analyst to lead product analytics across the GoMining ecosystem.

You will own the development of our product analytics capabilities — from event tracking and funnel analytics to A/B testing infrastructure, AI-powered insights, and product performance reporting.

This role is ideal for someone who combines deep analytical expertise with hands-on experience building scalable analytics systems and leveraging AI to improve decision-making.

We are looking for a Senior Data Analyst to lead Retention & Marketing Analytics across the GoMining ecosystem.

You will partner closely with our Marketing and CRM teams to build a data-driven retention strategy — from customer segmentation and lifecycle analytics to A/B testing, personalization, and automated performance insights.

This role is ideal for someone who combines strong analytical expertise with a deep understanding of user behavior, CRM, and retention mechanics.

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 Pricing at LawnStarter

Upfront pricing is our competitive moat. Most home service marketplaces make you find a Pro and wait for a custom quote. LawnStarter gives customers a price immediately and assigns a Pro. That's a huge differentiator — but it means we have to get pricing right at scale for services where the industry norm is custom quotes for everything.

That tension — seamless upfront pricing vs. inherently custom work — is what makes this domain both critical and uniquely challenging. Today, pricing is split across three fragmented systems with no dedicated owner.

Requirements

The Role

You'll own the full pricing and monetization domain — from the infrastructure that powers every price we show to the strategy that determines what we charge, how we bundle, and where we expand.

This is a transformation role. We're migrating from three disconnected pricing paradigms to a unified dynamic pricing system. The roadmap has 11 priorities, a dedicated engineering team, and no full-time product owner.

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 Pricing at LawnStarter

Upfront pricing is our competitive moat. Most home service marketplaces make you find a Pro and wait for a custom quote. LawnStarter gives customers a price immediately and assigns a Pro. That's a huge differentiator — but it means we have to get pricing right at scale for services where the industry norm is custom quotes for everything.

That tension — seamless upfront pricing vs. inherently custom work — is what makes this domain both critical and uniquely challenging. Today, pricing is split across three fragmented systems with no dedicated owner.

Requirements

The Role

You'll own the full pricing and monetization domain — from the infrastructure that powers every price we show to the strategy that determines what we charge, how we bundle, and where we expand.

This is a transformation role. We're migrating from three disconnected pricing paradigms to a unified dynamic pricing system. The roadmap has 11 priorities, a dedicated engineering team, and no full-time product owner.

We're working with one of the fastest-growing venture-backed consumer technology companies in the crypto space to hire a Growth Engineer.

This is an opportunity to join a high-performing engineering team where you'll have direct ownership over product growth, user acquisition and experimentation. You'll work closely with Growth and Product to build, test and optimise experiences that drive user engagement and retention across web and mobile.

If you enjoy shipping quickly, making data-driven decisions and seeing your work directly impact growth metrics, this role offers significant ownership from day one.

Requirements

What you'll be doing

As the Growth Engineer, you'll own growth initiatives across the product, including:

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 Ontology Architect to lead high-impact applied Engineering 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:

We are looking for a Product Manager to join GoMining’s Payments team and drive the development of payment products and payment user experiences across our ecosystem.

This is one of the company’s key product roles. You will work at the intersection of product, finance, analytics, engineering, and partnerships to improve payment infrastructure for millions of users worldwide.

The primary goal of this role is to increase payment conversion, improve approval rates, grow revenue, reduce payment failures, and deliver a seamless payment experience.

Responsibilities:

• Own and drive the development of payment-related products and features across web and mobile platforms.
• Analyze and optimize the entire payment journey, from payment method selection to successful transaction completion.
• Monitor and improve key payment metrics, including:

- Conversion Rate

- Approval Rate

- Payment Success Rate

- Revenue

- LTV

- Churn

- Fraud Rate

• Build, prioritize, and manage the product backlog.
• Conduct product discovery, user research, and identify conversion bottlenecks.
• Design, launch, and analyze A/B tests.
• Work with various payment methods, including:

- Bank Cards

- Apple Pay / Google Pay

- Bank Transfers

- Cryptocurrency Payments

- Local Payment Methods