Forward Deployed Engineer at Tiger Analytics

About Forward Deployed Engineering at Tiger Analytics

Tiger Analytics is seeking a highly experienced Lead AI Engineer to lead the end\-to\-end AI Engineering workstream for the Luma platform. This is a hands\-on technical leadership role responsible for driving the architecture, design, and delivery of enterprise\-scale Agentic AI solutions while serving as the primary technical interface for the client. ***Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.***

Companies like Tiger Analytics typically structure FDE teams around a build-team model, where engineers join an existing customer engineering function and deploy the product across a portfolio of accounts. Based on FDE Pulse data across 1079 active postings, 1% of FDE roles are build-team positions and 0% are "first hire" situations where the engineer defines the function. Tiger Analytics's 2 active postings fall into the first hire category based on role count.

FDE roles across the market are 1% North America-focused based on 1079 active postings. 0% of FDE roles are classified as growth hires, meaning the company is expanding its customer base rather than backfilling an existing position. This context matters for FDE candidates evaluating Tiger Analytics: growth hire roles often come with more pressure to ramp quickly but also clearer performance metrics tied to customer success.

What FDEs Do at Tiger Analytics

Forward Deployed Engineers at Tiger Analytics own the technical success of customer deployments. This means designing integration architectures specific to each customer's infrastructure, writing and maintaining production code that runs in customer environments, and serving as the primary technical point of contact for enterprise accounts. The role sits at the intersection of product engineering and customer success without being either.

Day-to-day work for an FDE at Tiger Analytics varies by customer complexity and deployment stage. In the early phases of a new customer engagement, FDEs focus on environment setup, data mapping, and building the first integrations. As deployments mature, the work shifts toward performance tuning, expanding use cases, and training customer teams on new capabilities. Some FDE roles also feed product insights back to internal engineering, effectively acting as a bridge between customer needs and the roadmap.

Career Path for FDEs at Tiger Analytics

FDE careers typically progress along one of three paths: deepening technical specialization within the FDE function (moving from mid-level to senior to staff FDE), transitioning into engineering management (leading FDE teams or broader customer engineering organizations), or lateral moves into product management (where customer-facing FDE experience is highly valued). All three paths are available at companies with established FDE programs.

The FDE market median of $180,000 base salary across 134 active postings reflects a market that prices the role at a premium over equivalent-seniority software engineers at the same companies. Total compensation including equity, particularly at venture-backed companies, can be 20 to 50 percent higher than base salary. FDEs considering opportunities at Tiger Analytics should evaluate total compensation, rather than only base salary, when comparing offers.

Interview processes for FDE roles at most companies include a technical coding round, a system design round specific to customer deployment scenarios, and a customer scenario exercise where candidates are asked to scope a deployment, communicate trade-offs, and handle technical objections. Strong candidates combine engineering depth with the ability to explain complex systems to non-technical stakeholders clearly and without jargon.

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