Location:  Need to be able to work EST timezone.

Remote | Full-time

Compensation: $175K - $250K

We are hiring on behalf of our client who is developing a cutting-edge autonomous agent runtime focused on high-frequency financial environments. While current agents operate effectively as independent units, the next phase of evolution involves building a sophisticated intelligence layer where the entire fleet learns autonomously from real-time market outcomes.

The Staff AI Engineer will be responsible for moving beyond manual propagation of insights to a system where the fleet gets smarter with every trade. This is a high-stakes production role, not a research position. The feedback loop is immediate and measurable: the work produced either enhances agent profitability or it does not. The successful candidate will own the intelligence layer that turns thousands of daily trading decisions into compounding, autonomous growth.

Key Responsibilities:

Learning & Optimization

About LawnStarter

LawnStarter is the nation's leading marketplace for lawn care and outdoor services, connecting homeowners with service professionals across 120+ markets with $100M+ in annual bookings and marking our second consecutive year of profitability. We're expanding into new verticals beyond lawn care, and Pro supply is what determines how fast we can grow.

About the Growth Team

The Growth team owns customer acquisition — the engine that powers everything else. We bring in 150,000+ new customers per year across Google Ads, LSA, Bing, and organic channels. We're world-class in customer acquisition, and this position extends the team's expertise to the supply side of the marketplace.

The Challenge

Pro supply is our biggest growth constraint and our biggest opportunity. In dozens of markets, we turn away revenue because we don't have enough service professionals to meet demand. Markets with strong Pro density see meaningfully higher customer satisfaction and faster growth.

Organic recruitment and partnerships help, but they don't scale fast enough. We need paid acquisition to work for supply growth, and this role is responsible for building that capability from scratch.

Senior Talent Acquisition Recruiter

Location: US based candidates are the preference / Would consider Europe if they have some overlap with EST

Compensation: $150K - $200K

We help enterprises transform fragmented data into governed, high-confidence intelligence without sacrificing control. By bringing compute to the data through a private data lakehouse and a secure contextual AI framework, we enable organizations to audit, verify, and monetize their most valuable assets.

As a Senior Technical Recruiter, you aren’t just "filling roles"—you are the architect of our human capital. We are building at the complex intersection of AI, blockchain, and enterprise infrastructure. Finding the top 1% of talent who can navigate this space requires more than a standard search; it requires deep discovery, technical empathy, and a "product mindset" toward recruiting. You will partner directly with leadership to build a world-class engineering and go-to-market engine from the ground up.

Key Responsibilities:

Data Scientist

Location: New York

On-site | Full-time

Compensation: Competitive

Our client is a high-performance technology development company responsible for the entire technical stack behind the world’s largest and most active digital asset launchpads. Operating at the absolute edge of crypto scale, the systems managed by this organization are defined by ultra-low latency, high throughput, and constant high-concurrency load. This is a mission-critical environment where technical precision is paramount and the impact of every deployment is immediate.

The organization is seeking an experienced, versatile Data Scientist who thrives in an intense, fast-paced setting. This role provides the autonomy to identify high-impact opportunities, design sophisticated analytical solutions, and measure their direct effect on a product used by massive global audiences. Joining this team means entering a high-density talent environment that values first-principles thinking, extreme ownership, and the ability to operate independently within a high-stakes ecosystem.

Key Responsibilities

Job Title: Director of Project Controls (Nuclear Refurbishment)

Location: Cernavodă / Bucharest, Romania Project: Cernavodă Unit 1 Refurbishment (CANDU 6 Life Extension)

Contract Type: Senior Executive Fixed Term

The Mission: Powering Europe’s Future

This is not just another construction job. It is a chance to lead the commercial and strategic heartbeat of one of Europe’s most critical energy security projects.

As the Director of Project Controls, you will be the architect of certainty for the multi-billion Euro refurbishment of the Cernavodă Nuclear Power Plant. You will take a CANDU 6 reactor that has powered a nation for 30 years and give it life for 30 more.

We are looking for a battle-tested leader who has "been there, done that" on major nuclear retubes—someone who knows that success isn't just about the schedule, but about working effectively with the complex ecosystem of international consortium partners.

Requirements

The Role

Reporting directly to the Project Director, you will own the Integrated Project Controls System for the Unit 1 Refurbishment. You are the "truth-teller" of the project—the person who translates complex engineering reality into actionable data for executive decision-making.

Your Mandate:

Data Scientist - Consumer Product Optimization

Location: New York City, London (Office)

Compensation: $250K - $300K

We are seeking an experienced, versatile Data Scientist to join our team, which is focused on a fast-paced consumer-facing product within the fintech or equivalent industry. This is a high-autonomy role where you will have the freedom to identify opportunities, design and implement solutions, and measure their impact across our entire product suite.

We value generalists who possess breadth across the data science field and thrive on end-to-end ownership. You will collaborate with cross-functional teams while driving projects independently from conception to completion.

The Data Scientist will be responsible for leveraging data to drive product decisions, optimize user experiences, and uncover strategic opportunities for growth.

Machine Learning Engineer, AI Decisioning (Full-time)

Location: Remote (North America) / San Francisco (Optional)

Salary Range: $200,000 - $260,000 USD

We are expanding our data activation products to include a powerful intelligence layer, and we are looking for a highly experienced Machine Learning Engineer to join our team. Hundreds of companies use our platform to automate and improve operations by syncing data into their systems, but there is immense potential in helping them make smarter decisions about which customers to message, what content to use, and when to send messages.

A lot of this crucial decision-making today is often manual and driven by intuition. By integrating machine learning, we aim to deliver a step-function impact for our customers. Given our access to first-party customer data, we are perfectly positioned to build an intelligence layer that leverages this rich data source.

Your responsibilities will include working on complex problems such as:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a VP, Paid Marketing in the United States.

The VP of Paid Marketing will lead end-to-end strategy and execution for all paid media efforts across digital and traditional channels. This executive-level role is responsible for driving revenue growth and enhancing brand visibility through data-driven media investments. You will manage large-scale budgets, oversee agency relationships, and develop scalable media frameworks that support both short- and long-term business goals. This role requires deep expertise in performance marketing, strong leadership skills, and the ability to stay ahead of shifting trends in platforms, privacy regulations, and marketing technology.

Accountabilities: