Senior Frontend Platform Engineer
TRM Labs
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- Location
- North America
- Job Type
- full-time
- Work Format
- 🌍 Remote Worldwide
- Salary
- $210,000 - $230,000
- Posted
- August 3, 2026
Job Description
TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure.
We are looking for an experienced Senior Frontend Platform Engineer to join a small but fast-growing Frontend Engineering team responsible for building the visualization and rendering systems that power TRM’s investigative platform. TRM’s product surfaces complex blockchain activity through interactive graph exploration, entity networks, and data-dense investigative interfaces. In this role, you will help build the core frontend platform and visualization infrastructure that allows analysts to explore large relational datasets and uncover illicit activity at scale. As an early member of the team, you will work on high-performance rendering systems, graph visualization, and reusable frontend infrastructure that powers TRM’s investigative workflows.
The impact you’ll have here:
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Design and build the visualization platform that powers TRM’s investigative interfaces, including graph exploration and large-scale data visualization.
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Develop high-performance rendering systems using technologies such as Canvas, WebGL, and GPU-accelerated rendering to visualize complex datasets.
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Build reusable visualization libraries, SDKs, and platform primitives that enable teams across TRM to build powerful data exploration experiences.
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Participate in technical design discussions and code reviews to improve architecture, performance, and maintainability.
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Develop a deep understanding of crypto and blockchain investigation workflows to inform product design and platform capabilities.
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Help define the next generation of data exploration tools used by investigators and financial institutions worldwide.
What we’re looking for:
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Strong JavaScript and TypeScript fundamentals with experience building large-scale frontend systems.
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Experience building data-dense web applications, such as analytics platforms, visualization tools, or mapping systems.
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Hands-on experience with Canvas, WebGL, or GPU-accelerated rendering.
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Experience working with data visualization libraries such as D3, PixiJS, Three.js, or similar tools.
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Experience building or working with graph / network visualization systems, using tools like D3-force, Cytoscape.js, vis.js, Sigma.js, or similar.
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Familiarity with graph layouts such as force-directed, hierarchical, or radial layouts.
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Experience optimizing performance in complex UIs using techniques such as: virtualization, viewport culling Web Workers, and large-dataset rendering optimization
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Experience designing reusable frontend systems, SDKs, component libraries, or developer platforms.
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Strong computer science fundamentals including data structures and algorithmic thinking.
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Experience with React and modern frontend frameworks.
About the Team:
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The team operates on a weekly sprint schedule. Individuals on the team are tasked to lead projects as technical anchors, and given a chance to grow and take ownership according to their level and goals.
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We work closely with product, design, and with our engineering partners in data platform teams to deliver impactful features to customers and the company.
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The team’s timezone is a mix of EST and PST, with at least 6 hours of overlap with PST (8 am to 2 pm PST).
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On Call: We have an on-call rotation that is approximately one week every 16 weeks.
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Frontend usually doesn't get pager duty alerts but gets frontend issues from customer support channels and the on-call is responsible for triaging if it is a frontend bug or sometimes really a backend issue.
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It gets busy during some on-call weeks but has not been wake-up from sleep type of alerts.
Learn about TRM Speed in this position:
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Ruthless Prioritization & Adaptability: We adapt quickly when faced with new information. For example, an engineer may message the PM or EM to prioritize Task A vs. Task B in the middle of the sprint – we don’t let inertia guide our decisions. Instead we focus on ruthless prioritization and pivot quickly as needed.
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Challenging Timelines (Execution Pressure): An engineer questions a teammate’s proposed 3-week timeline, and constructively argues for condensing it to 2 weeks—backed by rationale, tradeoffs, and a plan to reduce scope or increase velocity. They show ownership of delivery speed and willingness to push for urgency.
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Time-Boxed Spiking (Rapid Learning & Decision-Making): An engineer proposes a 1-week spike with a clear time-box and success criteria to explore implementation options or validate feasibility through a proof of concept. They demonstrate speed not just in execution, but in de-risking decisions early.
The following represents the expected range of compensation for this role:
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Individual pay is determined by skills, qualifications, experience, and location. The compensation details listed in this posting reflect the US base salary only.
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The estimated base salary range for this role is $210,000 - $230,000.
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Additionally, this role may be eligible to participate in TRM’s equity plan.
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Please note – we factor in the different costs for geographies outside the United States.
About TRM's Engineering Levels:
Engineer: Responsible for helping to define project milestones and executing small decisions independently with the appropriate tradeoffs between simplicity, readability, and performance. Provides mentorship to junior engineers, and enhances operational excellence through tech debt reduction and knowledge sharing.
Senior Engineer: Successfully designs and documents system improvements and features for an OKR/project from the ground up. Consistently delivers efficient and reusable systems, optimizes team throughput with appropriate tradeoffs, mentors team members, and enhances cross-team collaboration through documentation and knowledge sharing.
Staff Engineer: Drives scoping and execution of one or more OKRs/projects that impact multiple teams. Partners with stakeholders to set the team vision and technical roadmaps for one or more products. Is a role model and mentor to the entire engineering organization. Ensures system health and quality with operational reviews, testing strategies, and monitoring rigor.
Life at TRM
We are building a safer world. That promise shows up in how we work every day.
TRM moves quickly. We are a high velocity, high ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days.
Our work sits at the intersection of AI, national security, and fighting crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving.
At TRM, you should expect:
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Priorities and targets to change quickly as we experiment and iterate
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Work that often requires operating with a high degree of ambiguity
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A high level of personal ownership and accountability
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Close collaboration across teams and functions
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Frequent, high-touch communication
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Creative problem solving and out-of-the-box thinking
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A pace that rewards urgency, adaptability, and outcomes
This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires comfort navigating ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment.
We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here.
At the same time, many people find this work deeply rewarding. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Learn more: Interviewing at TRM: How We Hire and What Success Looks Like
AI Fluency at TRM
AI fluency is a baseline expectation at TRM.
We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks.
At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to:
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Accelerate repeatable workflows
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Structure and solve problems
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Improve output quality
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Increase speed and leverage
You will be evaluated on applied AI fluency during the interview process.
Leadership Principles
We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions.
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Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly.
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Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday.
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Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger.
Join our Mission
At TRM we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast.
TRM is a Series C company with $220M in total funding, backed by Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore.
Privacy Policy and Additional Information
By submitting your application, you agree to allow TRM Labs to process your personal information in accordance with our Privacy Policy.
We collect the information you provide (such as your resume, work history, and contact details) solely for the purpose of evaluating your candidacy for current and future roles at TRM.
Because our hiring cycles for certain positions may span 24 to 36 months, we retain your personal information for up to 36 months from the date of your application. After that period, your data is deleted unless a different retention period is required or permitted by law.
If you are located in the European Economic Area, the United Kingdom, or another jurisdiction with applicable data protection laws, you have the right to access, correct, or request deletion of your personal data at any time before that period ends. To exercise any of these rights, contact us at privacy@trmlabs.com.
To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form.
Recruitment agencies
TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement.
🎯 Who is this job for?
This role is suitable for a Senior Frontend Engineer experienced in designing large-scale frontend platforms and leading technically complex projects independently.
The candidate should have strong JavaScript, TypeScript, React, data structures, and algorithm skills, plus hands-on expertise with Canvas, WebGL, GPU-accelerated rendering, D3 or similar visualization tools, and reusable SDKs or component systems.
They should be familiar with building data-dense applications, graph and network visualizations, force-directed or hierarchical layouts, performance optimization through virtualization, viewport culling, Web Workers, and large-dataset rendering, as well as technical design, code reviews, mentoring, and fast-paced delivery.
💬 Potential Interview Questions
How would you architect a reusable frontend visualization platform for graph exploration across multiple TRM products?
I would separate data access, graph state, layout computation, rendering, interaction, and product-specific configuration into clear platform layers. The platform should expose typed APIs and composable primitives while hiding rendering details, so teams can build consistent experiences without duplicating performance and interaction logic.
How would you render and interact with hundreds of thousands of graph nodes and edges in a browser?
I would use GPU-accelerated rendering through WebGL or a suitable library, maintain compact typed-array representations, and avoid creating a DOM element per node. Viewport culling, level-of-detail rendering, incremental updates, spatial indexing, and batched draw calls would reduce both CPU and GPU overhead.
When would you choose Canvas, WebGL, or SVG for a data visualization?
SVG is useful for smaller datasets requiring rich DOM-based accessibility and styling, while Canvas offers efficient 2D rendering with many objects. WebGL is preferable for very large or frequently updated datasets because it enables GPU parallelism and custom shaders, although it requires more specialized rendering infrastructure.
How would you implement a force-directed graph layout without blocking the React UI?
I would run the simulation in a Web Worker, transfer compact node and edge data using transferable typed arrays, and send periodic position updates to the main thread rather than every simulation tick. Rendering would consume the latest available positions while the worker continues computing asynchronously.
How would you optimize a data-dense React interface surrounding a graph visualization?
I would virtualize tables and lists, memoize stable components and selectors, keep rapidly changing visualization state outside unnecessary React renders, and batch updates. I would use profiling tools to identify render, scripting, layout, memory, and network bottlenecks before applying targeted optimizations.
How would you design viewport culling for a graph with millions of relationships?
I would maintain a spatial index or hierarchical bounds structure for nodes and edge segments, query it using the current viewport plus a small buffer, and render only visible items. For dense regions, I would apply level-of-detail techniques such as aggregation, sampling, or hiding labels and low-priority edges.
How would you design a TypeScript SDK for reusable visualization primitives?
I would define strongly typed data models, configuration objects, event contracts, lifecycle methods, and extension points for layouts and renderers. The SDK should provide sensible defaults, isolate implementation details, preserve backward compatibility, and include documentation, examples, unit tests, and performance benchmarks.
How would you model and update graph state when an investigator expands a blockchain entity?
I would normalize nodes and relationships by stable identifiers, track provenance and loading status, and merge incremental results idempotently. Expansion actions should support cancellation, deduplication, optimistic UI states where appropriate, and clear separation between server data, layout state, selection, and filtering state.
What graph layouts would you use for investigative workflows, and how would you choose between them?
A force-directed layout is effective for discovering clusters and relationships, hierarchical layouts clarify flows or transaction direction, and radial layouts emphasize an entity’s neighborhood. I would choose based on the investigative task, dataset size, stability requirements, and whether preserving the user’s mental map is more important than minimizing overlap.
How would you investigate a visualization that becomes slow as the graph grows?
I would reproduce the issue with representative data, profile JavaScript execution, React renders, worker communication, GPU frames, memory usage, and network activity, then identify the dominant constraint. Possible fixes include reducing object allocations, batching updates, culling content, moving computation to workers, changing layout frequency, and adding regression benchmarks.
📋 Job Summary
TRM Labs is a mission-driven, AI-powered intelligence company helping agencies and businesses investigate crime and build a safer world. As a Senior Frontend Platform Engineer, you’ll build high-performance visualization systems, graph exploration tools, reusable SDKs, and frontend infrastructure for complex blockchain investigations using JavaScript, TypeScript, React, Canvas, WebGL, D3, PixiJS, or Three.js. This is a full-time, distributed-first remote role for North America, with an expected US base salary of $210,000–$230,000 plus potential equity. Apply to shape next-generation investigative technology, own impactful platform projects, and work with a fast-moving team tackling complex problems at the intersection of AI, security, and crime prevention.
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