About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings and two consecutive years of profitability. We're expanding beyond lawn care to become the one-stop shop for all home services, and we're investing in the next generation of our platform to get there.

About the Team

We're a high-leverage team of Product Data Analysts embedded across the business, owning the semantic layer and the metrics everyone trusts. We turn "I have a hunch" into "here's what actually happened," and we're the reason teams across the company can make calls on evidence instead of instinct. This role brings dedicated analytical firepower to the Pro (supply) side of that work.

Requirements

The Role

As a Lead Product Data Analyst, you'll directly impact our results through insights and reports. You'll work closely with product managers, researchers, and other business stakeholders, helping with prioritization, assessments, and business recommendations. Alongside the rest of the Analytics team, it's your responsibility to nurture the data-driven culture within the company, making data easier to consume, whether through interactive reports, easy-to-use datasets, documentation, or training.

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings and two consecutive years of profitability. We're expanding beyond lawn care to become the one-stop shop for all home services, and we're investing in the next generation of our platform to get there.

About the Team

We're a high-leverage team of Product Data Analysts embedded across the business, owning the semantic layer and the metrics everyone trusts. We turn "I have a hunch" into "here's what actually happened," and we're the reason teams across the company can make calls on evidence instead of instinct. This role brings dedicated analytical firepower to the Pro (supply) side of that work.

Requirements

The Role

As a Lead Product Data Analyst, you'll directly impact our results through insights and reports. You'll work closely with product managers, researchers, and other business stakeholders, helping with prioritization, assessments, and business recommendations. Alongside the rest of the Analytics team, it's your responsibility to nurture the data-driven culture within the company, making data easier to consume, whether through interactive reports, easy-to-use datasets, documentation, or training.

Location: New York, United States (Office) - NYC - SoHo Office

On-Site | Full-time

Compensation: $160K - $250K

We are hiring on behalf of our client, a high-growth, Series A-backed artificial intelligence company operating in the commercial real estate (CRE) sector who is seeking an experienced Software Engineer – Applied AI / Product Engineering to join its engineering team in New York City.

Our client delivers an enterprise-grade AI platform that automates complex commercial real estate workflows, integrating email, financial models, presentation decks, and property databases into a unified, intelligent system. Having already secured enterprise multi-year contracts with top global commercial brokerages, the organization is scaling rapidly to meet significant market demand.

This role focuses on designing, building, and deploying AI-driven products and agentic systems. The ideal candidate thrives in a fast-paced environment, takes full end-to-end ownership of features, and continuously explores evolving AI paradigms to build robust, practical solutions for enterprise users.

Key Responsibilities

Location: Hybrid (NYC) - Remote (United States)

Compensation: $149K - $185K

Our client is a high-growth technology organization building an advanced AI platform designed for enterprise operations and value creation in an AI-native world. Founded by experienced leaders in applied AI and mission-critical infrastructure, the organization leverages a proven track record of developing leading risk management and financial infrastructure that has processed trillions in volume. Backed by top-tier venture capital firms with over $65 million in funding, the company maintains an agile, elite team focused on solving technically ambitious problems.

Operating with a culture centered on high-agency, talent-dense individual contributors, our client emphasizes high autonomy, meaningful ownership, and strong judgment over hierarchy. They are seeking a Forward Deployed Engineer to own the technical customer journey and turn complex enterprise challenges into high-value, production-grade AI solutions.

In this high-impact role, the successful candidate will bridge technical strategy and customer execution—partnering closely with product, sales, and engineering leaders to guide strategic clients from technical discovery through implementation, production rollout, adoption, and scaling.

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 and two consecutive years of profitability. We're expanding beyond lawn care to become the one-stop shop for all home services, and we're investing in the next generation of our platform to get there.

About the Team

We're a high-leverage team of Product Data Analysts embedded across the business, owning the semantic layer and the metrics everyone trusts. We turn "I have a hunch" into "here's what actually happened," and we're the reason teams across the company can make calls on evidence instead of instinct. This role brings dedicated analytical firepower to the Pro (supply) side of that work.

Requirements

The Role

As a Lead Product Data Analyst, you'll directly impact our results through insights and reports. You'll work closely with product managers, researchers, and other business stakeholders, helping with prioritization, assessments, and business recommendations. Alongside the rest of the Analytics team, it's your responsibility to nurture the data-driven culture within the company, making data easier to consume, whether through interactive reports, easy-to-use datasets, documentation, or training.

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings and two consecutive years of profitability. We're expanding beyond lawn care to become the one-stop shop for all home services, and we're investing in the next generation of our platform to get there.

About the Team

We're a high-leverage team of Product Data Analysts embedded across the business, owning the semantic layer and the metrics everyone trusts. We turn "I have a hunch" into "here's what actually happened," and we're the reason teams across the company can make calls on evidence instead of instinct. This role brings dedicated analytical firepower to the Pro (supply) side of that work.

Requirements

The Role

As a Lead Product Data Analyst, you'll directly impact our results through insights and reports. You'll work closely with product managers, researchers, and other business stakeholders, helping with prioritization, assessments, and business recommendations. Alongside the rest of the Analytics team, it's your responsibility to nurture the data-driven culture within the company, making data easier to consume, whether through interactive reports, easy-to-use datasets, documentation, or training.

Location: Remote - India Remote

Remote | Full-time

Compensation: $75K - $85K

We are hiring on behalf of our client, a fast-growing, enterprise-grade software organization building next-generation infrastructure for institutional applications is seeking a highly skilled and strategic Senior Product Manager to lead its tokenization and capital markets product capabilities.

In this role, the selected candidate will own the strategy, roadmap, and execution for high-growth enterprise features tailored directly to Tier-1 financial institutions, including global banks, asset managers, custodians, and payment networks. Serving as the core product owner for up-market capabilities, this role sits at the intersection of technical innovation and complex institutional requirements—translating deep financial market insights into scalable, production-ready enterprise software.

This position is ideal for a hands-on, high-agency product manager with a substantive background in traditional finance, deep familiarity with market infrastructure, and a proven ability to lead technical discussions with CTOs, Heads of Operations, and enterprise engineering teams.

Key Responsibilities

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:

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings and two consecutive years of profitability. We're expanding beyond lawn care to become the one-stop shop for all home services, and we're investing in the next generation of our platform to get there.

About the Team

We're a high-leverage team of Product Data Analysts embedded across the business, owning the semantic layer and the metrics everyone trusts. We turn "I have a hunch" into "here's what actually happened," and we're the reason teams across the company can make calls on evidence instead of instinct. This role brings dedicated analytical firepower to the Pro (supply) side of that work.

Requirements

The Role

As a Lead Product Data Analyst, you'll directly impact our results through insights and reports. You'll work closely with product managers, researchers, and other business stakeholders, helping with prioritization, assessments, and business recommendations. Alongside the rest of the Analytics team, it's your responsibility to nurture the data-driven culture within the company, making data easier to consume, whether through interactive reports, easy-to-use datasets, documentation, or training.

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings and two consecutive years of profitability. We're expanding beyond lawn care to become the one-stop shop for all home services, and we're investing in the next generation of our platform to get there.

About the Team

We're a high-leverage team of Product Data Analysts embedded across the business, owning the semantic layer and the metrics everyone trusts. We turn "I have a hunch" into "here's what actually happened," and we're the reason teams across the company can make calls on evidence instead of instinct. This role brings dedicated analytical firepower to the Pro (supply) side of that work.

Requirements

The Role

As a Lead Product Data Analyst, you'll directly impact our results through insights and reports. You'll work closely with product managers, researchers, and other business stakeholders, helping with prioritization, assessments, and business recommendations. Alongside the rest of the Analytics team, it's your responsibility to nurture the data-driven culture within the company, making data easier to consume, whether through interactive reports, easy-to-use datasets, documentation, or training.