Forward Deployed Engineer – Product Focus

About the role

The role Titan is building the AI platform for banking. The 4,000+ U.S. banks and the two million people who work at them deserve AI that's purpose-built for their workflows, their controls, and their regulators. Forward Deployed Engineers are how we deliver on that — and the Product-Focus FDE is the one who lives closest to the client.

Responsibilities

• Embed with banking clients to deeply understand their workflows, constraints, regulatory context, and the strategic outcomes they're chasing
• Translate ambiguous business problems into specific, testable hypotheses — then design and ship the solution against them
• Own product decisions on live engagements: scope, sequencing, UX, what to build vs. what to leverage from the Titan platform
• Build full-stack, leaning on UI/UX and front-end craft to deliver client-facing experiences that feel native and trusted
• Run agentic workflows end-to-end: design the agent, configure the toolkit, evaluate, ship, iterate
• Codify what you learn into reusable patterns, playbooks, and platform feedback so the next engagement starts further down the field
• Partner with the broader Titan team — platform, GTM, ops — and represent the client's reality back to product and engineering

Requirements

• A builder first. You may have taught yourself to code, switched careers into engineering because the opportunity was too interesting to ignore, or never stopped shipping side projects. The bias to build shows up in your history.
• Strong product and UX instinct. You sketch, you prototype, you think constantly about how products you use could be improved.
• Fluent (or fluent-curious) in banking. You've worked in or alongside the industry — risk and controls, lending, credit, compliance, payments, treasury, deposits — or in a comparably regulated B2B context (e.g., insurance, healthcare, defense, energy).
• Client-ready. You've sat across the table from senior stakeholders. You know how to disagree without breaking trust, how to ask the question behind the question, and how to keep a room moving.
• Comfortable owning workstreams. You can run a multi-stakeholder engagement without a heavyweight PM process behind you.
• Hypothesis-driven. You hold opinions strongly and loosely — confident enough to commit, humble enough to change course when the evidence does.
• Technical foundation: Prompt and context engineering experience (e.g., understand the nature of language model responses, able to return equal results out of smaller models with better prompts and context)
• Full-stack development with a stronger spike in UI/UX and front-end (Python and TypeScript/React are our default stack)
• Hands-on experience building agents using LangChain, LangGraph, DeepAgents, and model-provider SDKs (Claude SDK, OpenAI Agents SDK)
• Familiarity with eval and training loops for AI agents
• Exposure to AI security primitives: observability, data controls, model gateways

Qualifications

• Exposure to AI security primitives: observability, data controls, model gateways

Skills

• Full-stack development with a stronger spike in UI/UX and front-end (Python and TypeScript/React are our default stack)
• Hands-on experience building agents using LangChain, LangGraph, DeepAgents, and model-provider SDKs (Claude SDK, OpenAI Agents SDK)
• Familiarity with eval and training loops for AI agents
• Exposure to AI security primitives: observability, data controls, model gateways

Benefits

• Competitive base salary plus meaningful pre-Series A equity
• Remote-first with regular in-person collaboration and travel to client sites (~25–40%, depending on engagement)
• Unlimited PTO
• 100% of employee medical, dental, and vision premiums covered by Titan

Pay

Compensation Range: $140K - $200K

Schedule

Remote-first with regular in-person collaboration and travel to client sites (~25–40%, depending on engagement)