Base Salary
$140k - $160k/yr
Responsibilities
- Embed with banking clients to understand their workflows and strategic outcomes.
- Translate ambiguous business problems into specific, testable hypotheses.
- Own product decisions on live engagements, including scope and UX.
- Build full-stack applications with a focus on UI/UX.
- Run end-to-end workflows, from design to iteration.
- Codify learnings into reusable patterns and platform feedback.
- Collaborate with the Titan team to represent client needs.
Requirements
- Proven experience as a builder, with a history of coding or shipping projects.
- Strong product and UX instinct, with skills in sketching and prototyping.
- Fluency or curiosity in banking and regulated B2B contexts.
- Experience engaging with senior stakeholders and managing client relationships.
- Ability to own workstreams without heavy project management processes.
- Hypothesis-driven mindset, confident yet adaptable.
Benefits
- Competitive base salary plus meaningful pre-Series A equity.
- Remote-first work environment with regular in-person collaboration.
- Unlimited PTO.
- 100% of employee medical, dental, and vision premiums covered.
Tech Stack
Categories
About Titan AI
Titan isn’t adapting AI to banking. We’re building AI that thinks like a bank. Titan delivers secured, explainable access to both general-purpose LLMs and its own proprietary banking-native AI models purpose-built for the operational, regulatory, and risk realities of financial services through one interface. Additionally, Titan offers Banking Agents that leverage its banking models to deliver industry-leading agentic outcomes. Designed from day one by former bankers, regulators, and AI engineers, our models embed domain expertise directly into their foundation, not as an afterthought. The results speak for themselves: - Blind tested against ChatGPT, Claude, and Gemini - and compliance officers preferred Titan's responses more than 70% of the time on average. - Significant outperformance on banking tasks over common general-purpose LLM - Other advantages related to our ontology, semantic layer, etc., have driven us to become the preferred AI platform for banking Unlike general-purpose LLMs, Titan’s models reason with banking logic, delivering exam-ready, explainable, and auditable outputs, even when data is incomplete or prompts are imperfect. Built on a proprietary banking ontology and evaluated using Titan’s Banker Trust Index (BTI), our models align with how institutions actually operate and how regulators assess decisions. This reduces risk, improves consistency, and increases trust across critical workflows.