About us: Soar is a global fintech startup that specializes in financing and investment. Currently headquartered in Saudi Arabia, Soar is growing throughout the region with a mission to help people achieve their financial goals with innovative financial and property investment solutions and tools through its multi-purpose platform, designed to offer a simple and seamless user experience.

Role Summary:

We are seeking an experienced and results-driven head of collections to lead our debt recovery and collection’s function. The ideal candidate will play a critical role in minimizing financial risk, improving cash flow, and ensuring compliance with regulatory standards in the Kingdom of Saudi Arabia. Working in a dynamic fintech startup environment, the head of collections will develop and implement strategies, manage a team, and collaborate closely with internal departments to optimize recovery performance while maintaining a customer-centric approach.

Key responsibilities:

1. Develop and execute collection strategies for early, mid, and late-stage delinquent mortgage accounts.

2. Monitor and manage daily operations of the collections team, including setting targets, coaching, and performance reviews.

3. Analyze collection performance data and provide actionable insights to senior leadership and credit function.

Quantitative Software Engineer - DeFi Economic Optimization

Location: Remote - US, Canada and would consider candidates based in Puerto Rico

Compensation: $150K - $200K

We are a Series B quantitative research and optimization company that leads the field in DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, securing over $42 billion in customer TVL. We are seeking highly skilled and motivated Quantitative Software Engineers to drive the safe progression of future financial systems.

You will be at the intersection of quantitative finance and software engineering, driving the design and implementation of risk management and optimization strategies for major DeFi protocols. This role involves full ownership, from building robust data pipelines and core modeling platforms to deploying logic that enhances capital efficiency and risk-adjusted yields.

Key Responsibilities:

Machine Learning Engineer - Recommendation Systems

Location: London (Office)

Compensation: $250K - $300K

We are a high-growth software development company and a team of elite builders, known for our contributions to one of the largest crypto social networks globally. Our pioneering platform allows anyone to create a coin in under one minute for free, establishing itself as the home for memecoin creation and trading on Solana. The platform has generated over $700 million in revenue and is focused on building the future of social crypto. We are seeking a Machine Learning Engineer to build and scale our core recommendation systems.

You will be responsible for designing, building, and deploying the machine learning systems that drive user discovery and engagement across our rapidly growing platform. This is a high-impact role requiring end-to-end ownership of critical features, ensuring our models scale effectively to handle significant real-time volume and user activity.

Key Responsibilities:

Senior Full Stack Engineer (Founding Role)

Location: Hybrid in New York City, NY

Compensation: $150,000 - $250,000 (Base Salary) + Significant Equity

We are a fast-growing, mission-driven mental health startup tackling a critical and underserved area: geriatric mental health care (the 65+ age group). Backed by top-tier VCs and healthcare founders, we've achieved extreme Product-Market Fit in a large, blue ocean market. We are seeking a Founding Full-Stack Engineer to lead our AI-powered full stack from architecture to launch, with a clear trajectory to an Engineering Leadership role.

This is a ground-floor opportunity that demands speed, autonomy, and technical excellence. You will work side-by-side with the co-founders, owning major technical decisions and shaping the engineering organization.

Your Key Responsibilities:

Tiger Analytics is a leading advanced analytics consulting firm, recognized for its deep expertise in Data Science, Machine Learning, and Artificial Intelligence. We partner with several Fortune 100 companies to solve complex business challenges and drive measurable impact through innovative analytical solutions.

We are seeking an experienced Onsite Techno-Functional Lead to drive a key digital transformation initiative for a leading wealth management firm. In this role, you will serve as the primary liaison between client stakeholders and our offshore delivery team, translating business requirements into effective technical solutions for the firm’s new Advisor and Client Portals. Your leadership, domain expertise, and technical acumen will be instrumental in ensuring the project’s success and delivering tangible business value.

Responsibilities-

• Lead client engagement, from requirement gathering and analysis to stakeholder management.
• Provide techno-functional leadership, designing solutions and guiding the integration of systems like Salesforce and Tamarac.
• Manage the project using Agile methodologies, coordinating with offshore teams to ensure timely and high-quality delivery.
• Drive the end-to-end project lifecycle, including risk management and quality assurance.

Requirements

Staff Software Engineer, Machine Learning

Location: Burlingame, CA (On-site, 4 days a week)

Compensation: $145,000 -$250,000 (Base Salary) + Equity Options

We are a rapidly growing AI company applying Large Language Models (LLMs) to transform a critical, high-impact domain within the healthcare industry. We're looking for a highly skilled and experienced Staff Software Engineer, Machine Learning to drive the architecture and scaling of our LLM backend systems.

This role is ideal for an engineer who thrives at the intersection of backend architecture and applied AI, designing the APIs, data pipelines, and infrastructure that make LLMs reliable, secure, and cost-efficient in production. Join us and help push LLMs beyond demos into mission-critical healthcare workflows.

Job Description 🖥️

As a Staff Software Engineer, you’ll be a technical leader responsible for the end-to-end delivery of our core LLM backend projects, setting the engineering best practices, and mentoring peers in system design.

Key Responsibilities:

Staff Data Scientist

Location: San Francisco, CA (100% On-site)

Compensation: $200,000 - $300,000 (Base Salary) + Equity

We are a high-growth, well-funded AI company building the most advanced conversational AI agents for the enterprise, serving customers like Duolingo, Notion, and Rippling. We are seeking a Staff Data Scientist to bring deep technical rigor, advanced statistical methods, and analytical frameworks to our product and business strategy. This role requires a blend of strong analytical expertise, product acumen, and the ability to influence strategic decision-making at the highest levels.

As a Staff Data Scientist, you will be the primary driver of data-driven decision-making and the experimentation culture across the entire company. Your work will directly inform product strategy and company performance.

In this role, you will:

Location: Remote (US or Canada)

Compensation: 180,000 - 270,000 (Base Salary) + ISO Options

We are a high-growth, market-leading software company operating in the B2B data space, empowering everyone to take action on their data. We're pioneering a new operational paradigm in marketing by leveraging an AI Decisioning platform that allows non-technical users to set goals and guardrails for personalized customer interactions.

We are seeking a Senior Full Stack Engineer with a strong focus on the front end (70-80% front end, 20-30% back end) to join our fast-moving team. You will be instrumental in developing the intuitive interface that integrates complex machine learning models, unlocking advanced growth and marketing capabilities for our customers.

As a Senior Full Stack Engineer, you will own the end-to-end development of features for a new generation of marketing and growth products, ensuring a seamless and powerful user experience.

Key Responsibilities:

Member of Technical Staff - Applied ML

Location: New York, NY (100% On-site)

Compensation: $175,000 - $300,000 (Base Salary) + Highly Competitive Equity

We are a rapidly growing AI company that has achieved product-market fit by equipping accountants with a team of autonomous AI Agents to tackle real workflows. Backed by world-class investors and experiencing 10x revenue growth in the last five months, we are scaling fast. We are looking for an Applied ML Engineer to take full ownership (Responsible Party, or RP) of end-to-end projects, reasoning, experimenting, and shipping agent systems that get smarter over time.

This is a high-autonomy role for engineers who want to operate like researchers and builders simultaneously. You will have the freedom to scope projects, define success, run experiments, and decide when systems are ready to ship, always designing for clarity and instrumenting deeply.

What you’ll be doing:

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 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 has been recognized by various market research firms, including Forrester and Gartner.

We are looking for an experienced Business Intelligence (BI) Consultant to join our team in Beaverton, Oregon. The ideal candidate will have a strong technical background in SQL and Tableau, along with proven experience in the Retail domain. This role requires someone who can translate complex data into meaningful insights that support business growth and strategic decision-making.

Key Responsibilities