Top Tech Jobs & Startup Jobs

Design and rapidly ship focused 15–45-minute courses in sprints of three weeks or less. Own needs analysis, design, development, QA, publishing, and live or virtual delivery. Proactively identify emerging learning needs, triage requests, prioritize scope, and repurpose content across formats. Partner with product, marketing, customer-facing teams, subject matter experts, and learning designers to deliver timely AI, workflow, tool, and role-based training.

Lead high-impact, cross-functional product initiatives from discovery through launch and iteration. Shape product strategy and multi-quarter roadmaps, engage enterprise customers, define requirements with engineering and design, and translate complex AI capabilities into valuable products. Own success metrics, align go-to-market and executive stakeholders, and mentor product managers. The role requires strong product judgment, technical fluency in LLMs and AI platforms, customer empathy, strategic thinking, and execution excellence.

Build secure, scalable AI integration platforms and backend services connecting enterprise systems, tools, and data sources. Design APIs, distributed systems, authentication and trust boundaries, MCP clients and servers, and agent orchestration workflows. Drive reliability through observability, SLOs, incident readiness, and performance optimization. Shape technical strategy, lead architecture reviews, mentor engineers, and partner cross-functionally to deliver platform capabilities.

Build and operate highly available, scalable infrastructure for WRITER’s enterprise AI platform. Responsibilities include SRE, DevOps, platform engineering, cloud infrastructure, Kubernetes, Terraform, automation, observability, incident response, post-mortems, SLOs, on-call operations, and reliability improvements. The role requires cross-functional collaboration, end-to-end ownership, systemic problem-solving, and daily use of AI-assisted development and operational tooling.

Build and operate resilient, highly available infrastructure for WRITER’s enterprise generative AI platform. Responsibilities include SRE, DevOps, platform engineering, cloud infrastructure, Kubernetes, Terraform, automation, reliability engineering, incident response, SLOs, observability, cost optimization, and root-cause analysis. The role owns systems end to end, leads infrastructure initiatives, improves on-call operations, and collaborates with product, security, and engineering teams in a hybrid London or New York environment.

Develop and implement quality assurance strategies, automated test frameworks, and test plans for AI agents and LLM-powered applications. Integrate automated testing into CI/CD pipelines, manage test data and mock services, investigate defects, monitor production AI performance, and conduct root cause analysis. Collaborate with product, machine learning, and data science teams while championing quality practices across engineering.

Build and lead application security for WRITER’s enterprise AI platform. Responsibilities include threat modeling AI architectures, designing secure systems, maintaining SAST and DAST in CI/CD, conducting code reviews and penetration tests, establishing secure coding standards, protecting data pipelines and model training environments, and researching emerging LLM and generative AI threats. The role partners closely with engineering and product teams to automate security controls and enable secure development from the London office.

Build and lead WRITER’s application security program for enterprise AI systems. Responsibilities include threat modeling, secure architecture reviews, SAST/DAST integration, security code reviews, secure coding standards, penetration testing, vulnerability remediation, and designing controls for AI agents, data pipelines, and model-training environments. The role partners closely with engineering teams, automates security processes, researches emerging LLM threats, and enables secure product development at scale.

Negotiate inbound and outbound commercial contracts, including SaaS licensing, strategic partnerships, data processing agreements, and supplier agreements. Develop contract templates, playbooks, and efficient sales contracting processes. Advise and train sales and go-to-market teams on legal matters, support enterprise deals, and improve legal operations using contract management and CLM tools.

Lead Tier 2 technical support for enterprise B2B SaaS customers: triage and resolve complex production incidents, debug Python and no-code agents, investigate integrations and APIs, build automation/diagnostic tooling, escalate to engineering, and feed product feedback to shape the roadmap.