Location: Remote - Based in EST to CET

Remote | Full-time

Compensation: $180K - $225K

Our client is building the foundational product layer for the next major wave of onchain participants: autonomous, always-on, and incentive-aware AI agents. Having spent years at the frontier of consumer crypto—converting human attention into millions of onchain actions—our client possesses a powerful engine of distribution, incentive coordination, and proof of action. As agents evolve into economic actors capable of reasoning, holding value, and responding to incentives, this established infrastructure serves as an unfair advantage to capture the emerging agentic economy.

Our client is seeking a visionary Head of Product to own the product vision and strategy. This individual will transition a fast-moving thesis into high-scale products utilized by both humans and agents. Operating as a peer to the executive leadership team, the successful candidate will build and scale the product function from scratch. This role is designed for a strategic leader who maintains a builder's mindset and is eager to execute at the ground level.

Key Responsibilities

Tiger Analytics is looking for experienced Data Scientists to join our 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 multiple Fortune 500 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 global analytics consulting team in the world.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are seeking a highly skilled and experienced Lead Data Scientist with a strong background in Recommendation Systems and Machine Learning Engineering (MLE). The ideal candidate will have a proven track record in designing, implementing, and deploying large-scale recommendation solutions, while also leading projects and mentoring teams. This role requires technical depth, hands-on coding, and the ability to engage directly with clients and stakeholders .

Key Responsibilities

Location: New York, United States • London, United Kingdom (Office)

On-Site | Full-time

Compensation: Competitive Compensation

Our client is a high-growth software development organization and a key contributor to one of the largest and fastest-growing decentralized crypto social networks globally. The platform has achieved massive scale, generating significant revenue and global attention since its inception.

To support this rapid expansion and ensure the continuous uptime of its high-stakes, high-throughput environment, our client is seeking a battle-tested Site Reliability Engineering (SRE) Expert. This individual will be handed ambiguous, critical infrastructure challenges and will be trusted to navigate them end-to-end—scoping solutions, making sound architectural trade-offs, and executing with precision.

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 are expanding beyond lawn care to become the one stop shop for all home services. Becoming the most discovered, cited, and trusted brand in our category is how we get there.

About the Growth Team

Growth owns the full acquisition funnel across our brand portfolio. Some of the most recognized names in outdoor services, reaching millions of homeowners every year. SEO and organic discovery are foundational to how customers find us, and this role leads the team responsible for making that happen at scale. You will report directly to the CMO and operate at the intersection of content, technical SEO, product, and the emerging world of AI powered search.

The Challenge

The game changed. Rankings are no longer the prize. Recommendation is. When a homeowner asks ChatGPT, Claude, Perplexity or Google AI who to hire, our job is to be the answer. Not page one. The answer.

Location: New York, United States (Hybrid) - NY area

Hybrid | Full-time

Compensation: $100K - $150K

Our client is an innovative and fast-growing technology service provider that delivers a high-performance, low-latency, and high-throughput distributed messaging system tailored specifically for the Fixed Income electronic trading markets. Because the quality of technical architecture and client engagement is critical to their commercial success, the employer is looking to expand its technical support capabilities within the North American market.

The primary focus is to troubleshoot, diagnose, and resolve sophisticated application, product, and integration anomalies within complex, live electronic trading environments. This is an exceptional opportunity to work alongside industry-leading distributed systems engineers and gain comprehensive exposure across the entirety of a modern financial technology ecosystem.

Key Responsibilities

Description

Tiger Analytics is looking for experienced Forward Deployment Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 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 global analytics consulting team in the world.

Role Overview

The Forward Deployment Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). You will bridge the gap between AI research and production-grade cloud infrastructure.

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

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

On-Site | Full-time

Compensation: $250K - $300K

We are hiring on behalf of our client who operates as the premier, market-leading startup accelerator platform dedicated exclusively to backing, mentoring, and scaling elite Web3, cryptocurrency, and decentralized infrastructure founders.

On behalf of this client, an exceptional, highly entrepreneurial executive is sought to join the leadership team as a General Partner. In this capacity, the successful candidate will assume a pivotal role in mentoring portfolio founders, evaluating and admitting high-potential teams, and strategically guiding early-stage startups through their critical operational, growth, and capitalization journeys from cohort admission through to seed-stage fundraising rounds.

The role is based full-time on-site in New York City to ensure direct, high-touch engagement with incoming startup cohorts.

Key Responsibilities

Tiger Analytics is looking for experienced Forward Deployed Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 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 global analytics consulting team in the world.

Role Overview

The Forward Deployed Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). You will bridge the gap between AI research and production-grade cloud infrastructure.

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

Key Responsibilities-

Location: Remote - Flexible work location (Preference is North America)

Remote | Full-time

Compensation: $180K - $300K

We are hiring on behalf of our client who is an innovative organization building the next generation of market infrastructure to redefine how value is discovered, priced, and distributed in real time. The mission centers on bringing structure, transparency, and efficiency to systems where value is currently fragmented and opaque.

Operating at the intersection of distributed systems, market structure, and applied cryptography, the firm is defining a new category for MEV distribution that merges economic efficiency with emerging regulatory frameworks. Based in New York and San Francisco, the organization consists of a high-leverage team focused on building systems that impact real-world economic flows.

The successful candidate will design and build core systems from first principles. This is an opportunity to turn ambiguous problems into production-grade infrastructure, defining architecture and making critical tradeoffs in a fast-moving environment. The role involves working across the full stack of real-time distributed systems, including data ingestion, low-latency execution, and auction mechanisms.

Key Responsibilities

Location: Remote - NYC preferred. Also open to US remote.

Remote | Full-time

Compensation: $200K - $275K

We are hiring on behalf of our client, a leading innovator in the blockchain space who is seeking a Senior Golang Engineer/ Staff Backend Engineer (with deep Go expertise) to join their core backend team. Our client has developed a real-time parimutuel prediction market platform built on Solana, designed to integrate ultra-fast, 60-second to 30-minute prediction markets directly into livestream environments and web platforms.

Following a successful $1M pre-seed round in April 2026 led by prominent venture participants in the Solana ecosystem, the organization is scaling its infrastructure to handle high-concurrency, traffic patterns. As one of the first backend engineering hires, the successful candidate will own critical systems responsible for market creation, settlement, and automated payouts during high-stakes global livestream events.

Key Responsibilities: