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Position Overview

We are seeking a proactive and detail-oriented Project Operations Coordinator to keep our teams, meetings, and project workflows running like clockwork. In this role, you will work closely alongside our Technical Project Delivery Manager, taking charge of internal schedule coordination, task distribution, AI-generated documentation accuracy, and operational tracking.

If you are an organizational master who enjoys maintaining operational order, keeping teams accountable, and ensuring nothing falls through the cracks, this position is for you.

Key Responsibilities

• Meeting Coordination & Punctuality: Schedule, organize, and facilitate internal alignment meetings across teams, ensuring attendees arrive on time, stay focused, and stick to the agenda.

• Delivery Manager Support: Provide direct administrative and execution support to the Technical Project Delivery Manager—helping track project statuses, follow up on pending items, and maintain overall project documentation.

• AI Note-Taking Review & Verification: Review, edit, and audit automated AI note-taking transcripts from internal and client meetings to guarantee 100% accuracy, clean summaries, and precise action-item capture.

• Task Allocation & Tracking: Ensure all action items discussed during meetings are immediately translated into structured tasks and correctly assigned to the appropriate team members in our project management software.

• Claims & Expense Compliance: Monitor and ensure that all team members log their project-related claims, receipts, and operational expenses into the system accurately and on time.

• Team Accountability & Follow-ups: Gently bug, prompt, and remind team members about upcoming deadlines, missing task updates, or overdue expense submissions to keep operations moving smoothly.

What to Expect & Workplace Culture

• Outcome-Based Performance: Success in this role is driven by high execution accuracy, team punctuality, and operational clarity—not just hours spent at a desk.

• Fluid & Flexible Hours: Core overlap hours are necessary to coordinate internal syncs and support the Delivery Manager, but you have the autonomy to structure your workflow to stay efficient.

• Global Touch & Hybrid Collaboration: Enjoy a hybrid schedule combining remote work flexibility with at least 4 monthly required onsite days for high-impact team syncs. Because our projects span different time zones, you will help coordinate syncs across multiple regions and run as many alignment meetings as needed to keep operations seamless.

• Dynamic, Fast-Paced Environment: Processes evolve quickly around here. You will play a active role in establishing structure, streamlining workflows, and maintaining team discipline.

Qualifications & Requirements

• Experience: 1–3 years of experience in project coordination, executive assistance, office management, or project operations (preferably within a tech, agency, or software environment).

• Organizational Mastery: Exceptional time-management skills with a knack for keeping schedules, tasks, and documentation meticulously organized.

• Attention to Detail: Sharp eye for accuracy when reviewing meeting transcripts, verifying expense entries, and tracking task assignments.

• Tooling Familiarity: Experience using modern project management and meeting platforms (e.g., Jira, Asana, ClickUp, Notion, Slack, Zoom, and AI transcript tools like Otter.ai or Fireflies).

• Strong Written & Verbal Communication: Clear, assertive, and polite communication skills for chasing down deliverables and driving meeting attendance.

Ideal Personality & Work Style

• Firm yet Empathetic Communicator: Able to hold team members accountable for attendance, tasks, and expense logs with a friendly, professional approach.

• Meticulous & Thorough: Nothing gets past you. You naturally check double-check details to make sure tasks are assigned to the right owner and expenses match up.

• Proactive Problem Solver: You don’t wait to be told what to do; you anticipate schedule conflicts, identify missing task assignments, and solve minor administrative bottlenecks before they become issues.

• Tech-Savvy & Adaptable: Comfortable working with modern AI tools, software systems, and remote collaboration platforms.

Position Overview

We are seeking an energetic and organized Technical Project Delivery Manager to serve as the vital bridge between our clients and internal development teams. In this end-to-end role, you will take ownership of the client relationship from day one—uncovering project requirements, writing comprehensive proposals, evaluating technical feasibility with our engineering team, and guiding projects across the finish line on time and within scope.

If you excel at translating business needs into actionable technical plans and love keeping stakeholders aligned, this role is for you.

Key Responsibilities

• Requirements Discovery & Client Intake: Meet directly with clients to understand their business goals, pain points, technical constraints, and desired project outcomes.

• Proposal & Scope Development: Translate client visions into detailed scope-of-work (SOW) documents, project proposals, feature breakdowns, and timeline estimates.

• Feasibility & Team Alignment: Collaborate closely with engineers, designers, and tech leads to evaluate technical feasibility, estimate resource allocation, identify risks, and sanity-check project deliverables before client sign-off.

• End-to-End Client Coordination: Serve as the primary, trusted point of contact for clients throughout the project lifecycle—managing expectations, delivering progress updates, handling change requests, and addressing feedback.

• Internal Project Orchestration: Track project milestones, manage sprint backlogs, unblock team members, and ensure deliverables meet agreed-upon quality standards and deadlines.

• Account Relationship Health: Build strong rapport with client stakeholders, ensuring high customer satisfaction, smooth handoffs, and identifying opportunities for future project phases.

What to Expect & Workplace Culture

• Outcome-Based Performance: We measure success by delivered outcomes, client satisfaction, and project health—not hours logged at a desk.

• Fluid & Flexible Hours: Core alignment hours are required for client meetings and team syncs, but you have the autonomy to organize your day for maximum productivity.

• Global Client Touch & Hybrid Collaboration: Enjoy the flexibility of remote work alongside at least 4 monthly onsite days reserved for deep-dive team syncs and strategic alignment. Given our international client footprint, you will actively manage communication across various time zones. We don’t restrict meeting frequency—whether it takes daily touchpoints or ad-hoc internal sessions, you’ll do whatever it takes to keep clients engaged and projects moving smoothly.

• Adaptable, Fast-Paced Environment: We operate in a dynamic, evolving space. You will have room to shape project management workflows, build structure where needed, and take true ownership of the client journey.

Qualifications & Requirements

• Experience: 3+ years in project management, client-facing business analysis, or delivery management within a software, agency, or tech environment.

• Technical Literacy: Ability to understand technical concepts (APIs, system architectures, development pipelines) and translate them into layman’s terms for clients—and vice versa.

• Proposal & Scoping Skills: Proven track record of drafting project proposals, scopes of work, user stories, and cost/timeline estimates.

• Stakeholder Management: Exceptional communication, negotiation, and relationship-building skills with a knack for managing client expectations constructively.

• Tooling Proficiency: Hands-on experience with modern project management tools (e.g., Jira, Asana, Notion, Trello, or ClickUp).

Ideal Personality & Work Style

• Empathic Communicator: A great listener who easily translates client desires into clear technical specifications without creating misunderstandings.

• Pragmatic & Solution-Oriented: Quick to identify potential roadblocks early and work collaboratively with the tech team to present alternative solutions to the client.

• Organized & Proactive: Highly attentive to details, deadlines, and follow-through; you naturally keep projects moving forward without waiting to be prompted.

• Calm Under Pressure: Able to handle shifting client priorities and tight deadlines with grace, diplomacy, and clarity.

Position Overview

We are seeking an experienced AI Code Review & Quality Assurance Engineer to oversee, audit, and refine code generated by Large Language Models (LLMs) and automated tools. In this role, you will bridge the gap between rapid AI generation and production-grade software development. You will be responsible for ensuring that machine-generated code meets strict security, performance, maintainability, and architectural standards before deployment.

Key Responsibilities

• Code Audit & Validation: Review, test, and refactor AI-generated code snippets, modules, and pull requests for logical correctness, edge-case handling, and style consistency.

• Security & Compliance: Detect and remediate potential security vulnerabilities, insecure dependencies, hardcoded credentials, and license compliance issues introduced by generative tools.

• Hallucination & Bug Remediation: Identify and correct synthetic errors, non-existent API calls, deprecated syntax, and inefficient patterns produced by AI models.

• Architecture & Optimization: Refactor loose or redundant AI code into clean, modular, and scalable system architectures aligned with engineering best practices.

• Tooling & Process Improvement: Partner with development teams to establish guidelines, automated testing pipelines, and prompt-engineering best practices for safe AI usage across the software development lifecycle.

What to Expect & Workplace Culture

• Results-Driven Autonomy (Outcome-Based): We focus on impact rather than desk time. You will be evaluated strictly on the quality, security, and reliability of the code standard you maintain—how and when you structure your day to achieve that is up to you.

• Fluid & Flexible Hours: We do not track fixed 9-to-5 schedules. You have the freedom to work during your personal peak focus hours, provided deliverables are met, blocking issues are resolved promptly, and team communication remains responsive.

• Hybrid Flexibility with Onsite Synergy: Enjoy a modern hybrid setup with remote-first daily operations, supplemented by at least 4 required in-person collaborative sessions per month (roughly once a week) for high-bandwidth architecture alignment, team syncs, and strategy planning.

• Fast-Paced, Evolving Work Environment: We operate in a rapidly moving space where processes are actively being built as we scale. If you thrive on bringing structure to ambiguity, taking initiative without waiting for step-by-step handholding, and bringing order to fluid workflows, you will excel here.

• High Ownership & Direct Impact: You won’t be a small cog in a rigid machine. You will have a direct hand in shaping our engineering culture, defining standards for AI integration, and steering code quality across the team.

Qualifications & Requirements

• Experience: 3+ years of professional software engineering experience in full-stack, backend, or systems development.

• Technical Proficiency: Strong expertise in core programming languages (e.g., Python, JavaScript/TypeScript, Go, Java, or C#) and modern frameworks.

• Debugging & Code Review: Demonstrated experience in code auditing, static analysis, performance profiling, and rigorous automated testing (unit, integration, end-to-end).

• AI Tooling Knowledge: Familiarity with generative AI development tools (e.g., GitHub Copilot, Cursor, Claude, ChatGPT API) and an understanding of their strengths and common failure modes.

• Problem-Solving: Strong critical thinking skills with an analytical approach to identifying subtle edge cases and logic flaws.

Ideal Personality & Work Style

• Constructively Skeptical & Detail-Oriented: Naturally inclined to verify before trusting. You enjoy digging beneath the surface of clean-looking code to catch subtle logical errors, edge cases, and hidden security flaws.

• Adaptable & Comfortable with Ambiguity: You aren’t rattled by shifting priorities or loosely defined tasks. Instead, you enjoy taking ownership and building clean, structured processes out of unstructured environments.

• Self-Motivated & Accountable: You manage your time effectively under flexible schedules and hold yourself to a high bar of personal execution and delivery.

• Patient & Methodical: Thrives in detailed code review, refactoring, and debugging tasks without rushing or skipping thorough validation steps.

• Collaborative Communicator: Skilled at providing clear, objective feedback to developers and product teams on how to use AI tools more effectively and safely.

Nice-to-Haves

• Experience setting up CI/CD pipelines with automated security and linting checks.

• Background in AppSec (Application Security) or static application security testing (SAST) tools.

Role Overview

We are looking for a hands-on AI Infrastructure Manager to architect, scale, and optimize the bare-metal and hybrid computing systems that power our high-velocity data aggregation pipelines. In this role, you will bridge the gap between massive-scale web data ingestion and high-performance machine learning, primarily focusing on managing and maximizing our in-house data center resources.

Rather than checking boxes for specific university degrees, we are looking for a practitioner who has built, broken, and fixed complex physical and distributed systems in the real world. You will take true ownership of our bare-metal GPU/CPU clusters, optimize raw hardware utilization, and ensure our AI training and inference pipelines run seamlessly and cost-effectively.

Key Responsibilities

• On-Premises Cluster Management: Architect, deploy, and maintain our in-house data center infrastructure, ensuring optimal physical layout, networking, and hardware utilization.

• Data-Centric AI Architecture: Design and maintain scalable infrastructure optimized for parsing, transforming, and feeding massive, aggregated datasets into AI training and inference models.

• Performance Engineering: Maximize GPU and CPU throughput, minimizing latency and data bottlenecks between storage systems and multi-node training environments.

• Pipeline Reliability: Build robust automated monitoring, alerting, and recovery systems to guarantee high uptime for continuous, high-throughput data processing.

• Hybrid Integration: Manage and optimize touchpoints between our core in-house hardware and auxiliary cloud resources for burst capacity or specific edge workloads.

• Cross-Functional Collaboration: Partner closely with Data Engineering, MLOps, and Core AI teams to seamlessly integrate physical data pipelines with machine learning frameworks.

What We Are Looking For (Requirements)

We value execution, deep technical curiosity, and problem-solving capabilities over formal credentials. To succeed in this role, you should bring:

• A Proven Track Record: Real-world experience managing, scaling, and troubleshooting bare-metal infrastructure for high-throughput data pipelines or distributed machine learning environments.

• Demonstrable Projects: A portfolio of verifiable work. This could include published open-source contributions, technical write-ups of architectures you built from scratch, or a public repository showing clean, production-ready system automation.

• Hardware & Networking Mastery: Deep, practical understanding of physical server environments, GPU architectures, high-speed interconnects (InfiniBand/RoCE), and how to tune Linux kernels to avoid storage or network bottlenecks during massive data ingestion.

• Containerization & Orchestration: Strong experience managing Kubernetes (K8s) or similar orchestration layers directly on bare-metal hardware.

• Framework Familiarity: Hands-on familiarity with distributed training and data orchestration frameworks (e.g., PyTorch Distributed, Ray, Apache Spark, DeepSpeed).

• Automation Mindset: Strong scripting skills (Python, Bash, or Go) to treat physical infrastructure as code, automating configuration, deployment, and self-healing mechanisms.

What We Offer

• True Technical Autonomy: The keys to the kingdom. You get direct influence over our growing, dedicated in-house hardware footprint rather than just clicking buttons on a public cloud console.

• Cutting-Edge Hardware: Direct access to top-tier, high-performance computing hardware, giving you the playground to solve real engineering bottlenecks at scale.

• Impact-Driven Culture: We care about what you build and how it performs, not where you went to school. Your impact on our data pipelines will be felt across the entire company daily.

• Complex Challenges at Scale: The opportunity to work at the intersection of massive data aggregation and bare-metal AI engineering—a rare and highly rewarding technical sweet spot.

• Competitive Compensation & Benefits: A rewards package tailored to top-tier execution, including comprehensive health coverage, flexible working parameters, and investments in your continuous professional growth.