AI Solution Engineer (Product Owner Focus)

Full-time | On-site

Location: San Francisco, CA

We are a rapidly growing AI enterprise focused on empowering businesses to deploy conversational, AI-powered phone agents at scale. We are looking for a unique individual to join us as an AI Solution Engineer. This role is a hybrid of Solutions Engineering and Product Management, where you will effectively become the product owner of each customer's onboarding journey.

You will own the end-to-end implementation for new enterprise customers, ensuring they rapidly achieve a fully functional, high-impact AI-driven solution. You will blend deep technical expertise with strong product thinking to translate business goals into tangible, measurable AI experiences.

What You'll Do:

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.

As a Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Key Responsibilities

Staff Software Engineer, Machine Learning (LLM Backend)

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

Employment Type: Full-time

Salary Range: $145K - $250K

We are a rapidly growing AI technology company transforming mission-critical processes in the healthcare industry. We are seeking a Staff Software Engineer to architect and scale the secure, reliable backend systems that power our advanced Large Language Model (LLM) applications. This role requires expertise at the intersection of applied AI, distributed systems, and security/compliance in a regulated domain.

You will be responsible for pushing LLMs beyond demos into mission-critical, cost-efficient, and secure production healthcare workflows. This is a technical leadership role driving the end-to-end delivery of core ML/LLM systems.

Key Responsibilities:

Fullstack Engineer (Founding Team, High Agency)

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

Employment Type: Full-time

Salary Range: $150K - $200K (Flexible for highly experienced candidates)

We are an ambitious, rapidly growing AI startup (recently raised a heavily oversubscribed $3.8M Seed round from top-tier VCs, including those early in OpenAI and Scale AI) focused on completely rebuilding the foundation of the massive Insurance Claims Processing industry. We are seeking a high-agency Fullstack Engineer to join our intensive, high-performance team. This is a role for engineers who thrive on extreme ownership and measurable customer impact.

This role requires a high level of performance, ambition, and ownership. You will be instrumental in defining and building core features end-to-end, working directly with founders and customers.

What You'll Do:

Frontend Deployed Engineer - API Tools & Developer Experience

Location: On site - Williamsburg, Brooklyn

Compensation: $170,000 – $230,000

We are a rapidly scaling software company, backed by top investors, enabling businesses to offer "Stripe-level" SDKs (client libraries) and documentation for their REST APIs. Our platform tackles the core pain points of APIs—untyped, unstandardized, and out-of-sync—by leveraging technology inspired by internal tooling at major tech firms. We are looking for an ambitious Frontend Deployed Engineer to help us scale from $1M to $10M ARR.

This is a high-impact, hands-on role at the intersection of engineering and customer success, ideal for engineers with entrepreneurial goals. You will work directly with CTOs, VPs of Engineering, and developers at fast-growing tech companies to solve their highest-priority problems, influence our product roadmap, and drive adoption.

What You’ll Do:

Forward Deployed Engineer (AI Platform)

Location: San Francisco, CA (On-site, 4-5 days/week)

Employment Type: Full-time

Salary Range: $120K - $180K

We are a rapidly growing, Series A-funded technology company (backed by top-tier VCs) providing an AI platform for building and deploying automated communication workers in the complex logistics and supply chain industry. We are looking for a versatile engineer with unstoppable energy and a relentless drive to maximize customer value.

This role requires a unique blend of strong technical skills (Python) and exceptional communication abilities. As a Forward Deployed Engineer, you will operate at the intersection of customer engineering and technical development, serving as the critical link between our AI platform and our enterprise customers.

Key Responsibilities:

Applied AI Engineer

Location: NYC (On-site, 5 days/week)

Employment Type: Full-time

Salary Range: $150K - $225K

We are a rapidly growing, well-funded technology company operating at the intersection of AI, Software Development, and the Healthcare/Life Sciences industry. We are building a foundational network and applying advanced AI techniques to revolutionize how new life-changing therapies reach patients. This is a demanding, high-autonomy role with end-to-end responsibility for driving measurable business impact. Visa sponsorship is available.

As an Applied AI Engineer, you will be responsible for leveraging LLMs and various Machine Learning techniques to solve critical business problems, automate complex processes, and create groundbreaking AI applications across our product suite. This role requires a deep understanding of the business domain to ensure your technical output directly drives user growth, operational efficiency, and revenue generation.

Key Responsibilities:

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

The DE + AI Solutions Engineer will design, build, and deploy advanced data, Generative AI (Gen AI), and Agentic AI solutions for key client projects. This role requires deep, mandatory hands-on expertise in Microsoft Azure and Databricks, focusing on translating complex business requirements into scalable, production-grade code, pipelines, and infrastructure.

Requirements

Client Engagement & Delivery:

• Collaborate directly with client stakeholders to gather requirements, present technical solutions, and manage expectations.

Technical Leadership & Expertise:

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

The Enterprise Solutions Architect will lead the architectural design and delivery of advanced data, Generative AI (Gen AI), and Agentic AI solutions for the assigned strategic account or cluster of growth accounts. This role requires deep, mandatory expertise in Microsoft Azure and Databricks, focusing on translating complex business requirements into scalable, production-grade technical solutions.

Requirements

Client Engagement & Delivery:

Head of Growth - Institutional On-Chain Liquidity Layer

Location: Remote - US - Would consider South America or Canada + Preference for onsite/hybrid in LA

Compensation: $200K - $225K

We are a venture-backed on-chain financial infrastructure company building the liquidity layer for the tokenized economy, backed by leading investors. Our flagship protocol, deployed across multiple chains, connects tokenized real-world assets (RWAs) and high-quality stablecoins to enable 24/7, real-time, compliant capital movement for institutions. Live in production with partners including major global asset managers, we are seeking our first dedicated Head of Growth to own institutional and DeFi adoption and turn product-market fit into repeatable revenue.

Reporting directly to the Founder/CEO, you will be the core GTM leader, responsible for building the revenue engine across enterprise sales, strategic partnerships, and ecosystem development globally. This is a highly hands-on role where you will define the strategy, own the pipeline and forecast, design scalable playbooks, and close lighthouse deals across exchanges, stablecoin issuers, asset managers, and corporate treasuries.

Key Responsibilities: