Top Remote Tech Lead Jobs

Design, build, deploy, and maintain resilient, scalable production systems for Toast’s retail customers. The role sets long-term technical architecture and strategy, communicates technical direction, mentors senior engineers, improves engineering productivity, diagnoses performance issues, and drives initiatives amid ambiguity. Engineers collaborate directly with retail customers, visit stores, understand operational workflows, and use AI tools to improve development velocity and quality.

Leads AI, automation, analytics, and digital transformation initiatives for a Kansas health plan. Partners with executives, IT, regulators, vendors, and business teams to identify use cases, shape technology roadmaps, champion responsible AI, support Medicaid and Medicare operations, manage technology priorities, and ensure compliance with health plan data exchanges and state requirements.

Own the technical strategy, architecture, development, configuration, integrations, data model, and roadmap for the company’s Salesforce platform. Lead Salesforce consultants and developers, oversee delivery standards and release governance, manage vendors, translate business requirements into scalable solutions, and align Salesforce with ERP, IT, data, and organizational priorities. The role also includes stakeholder and executive partnership, technical decision-making, and AI enablement or product integration.

Lead ServiceNow implementations for enterprise customers: design, develop, integrate, and maintain scalable ServiceNow solutions (ITOM, Discovery, Service Mapping, AIOps). Build custom scripts and integrations, troubleshoot, participate in SCRUM, and work directly with customers to deliver projects on time.

Lead product vision and execution for internal, data-intensive technical initiatives. Improve and future-proof datasets, shared services, and platforms. Partner across engineering, data science, analytics, and product to translate needs into requirements, prioritize work, drive cross-functional delivery, define success metrics, and communicate roadmap and risks to stakeholders.

Lead a team building distributed microservices and full-stack systems for Capital One Shopping. Drive cloud-based solutions, mentor engineers, evaluate and write code, collaborate with product managers, and adopt emerging technologies to meet regulatory and customer needs.

Lead and grow a team of ML engineers building applications for a graphically intensive simulation platform. Manage stakeholders, translate customer needs into technical requirements, prioritize between off-the-shelf, open-source, and greenfield solutions, coordinate cross-functional delivery, and oversee the full ML lifecycle from data infrastructure to deployment. Foster team ways of working and performance.

The Lead Partner Marketing Manager will develop and execute marketing strategies for partnerships, manage relationships with key technology allies, and oversee partner marketing initiatives at Dynatrace.

Design, build, deploy, and operate a high-concurrency, resilient configuration and publishing platform. Lead cross-team projects, set technical direction, improve engineering productivity, optimize performance, and maintain end-to-end ownership of distributed systems at scale.

Lead the development of machine learning systems for Cedar Pay's Personalization Engine, manage ML engineers, and ensure ML model effectiveness.

Lead the design and implementation of critical Safety AI initiatives, focusing on real-time perception systems for edge devices and optimizing models for production deployment in safety-critical environments.

Provides hands-on technical leadership for complex software architecture, design, development, modernization, and delivery. Partners across engineering, product, and architecture teams; mentors engineers; reviews designs and code; guides distributed, event-driven, cloud-native solutions; and promotes testing, CI/CD, observability, security, and operational excellence. The role remains an individual contributor while influencing technical decisions, managing dependencies, solving ambiguous problems, and evaluating emerging Generative AI and Agentic AI capabilities.

Lead architecture and technical direction for an AI-first SaaS product (Growth Studio). Define scalable services, APIs, data flows, and AI-enabled workflows; guide integrations, run architecture/code reviews and POCs; mentor engineers; produce technical documentation; and partner with product, UX, QA, and ops to deliver reliable, secure, and maintainable platform capabilities for GovCon customers.

Lead commercial technology and data initiatives for EMEA commercial teams: manage cross-functional projects, drive adoption of SFA/TPM/CRM tools, ensure compliance (SOX, GDPR), perform business analysis, change management, stakeholder engagement, and SLA/vendor management.

Lead engineering execution and technical direction while remaining approximately 75% hands-on. Responsibilities include developing LLM- and AI-powered products, coding, code review, debugging, platform performance, sprint planning, cross-functional coordination, technical mentorship, recruiting, and supporting engineers’ growth. The role partners closely with founders and product teams and offers a path toward Engineering Manager responsibilities.

Lead enterprise API and event-driven integration delivery using OpenAPI, REST, MuleSoft, Kafka, and related platforms. Establish API security, lifecycle, contract testing, schema registry, and workflow automation standards. Manage offshore delivery, review code and designs, troubleshoot critical integrations, remove blockers, and report progress and risks to engineering leadership. The role requires extensive integration engineering and technical leadership experience, including regulated-industry expertise.

Lead full‑stack engineering work to design, build, and maintain core product features (React/Next.js, Node.js, Firebase, GCP). Drive architecture, deployment, testing, performance, and developer experience. Mentor engineers, conduct code reviews, collaborate with CTO and product, support customers, and help scale the product and engineering culture.

Serve as the senior technical engineer on a delivery team, writing production code, shaping architecture, mentoring engineers, diagnosing complex issues, and owning software quality and reliability. Build TypeScript and JavaScript applications using Node.js, Express, React, PostgreSQL, REST APIs, testing, and observability. Modernize legacy systems, manage integrations and data synchronization, and use AI tools and automation to improve engineering workflows and delivery.

Own fractional people operations for a distributed international team. Responsibilities include multi-country payroll, contractor classification and tax documentation, recruiting pipeline management, onboarding and offboarding systems, access management, PTO tracking, SOPs, offer templates, and policy documentation. The role requires independently building scalable HR processes, using automation and AI to reduce recurring work, and coordinating across US, Central Asian, Georgian, and Latin American time zones.

Lead architecture and delivery of a production AI media platform: build reproducible, versioned generative pipelines (image/video), train LoRAs, integrate control techniques (ControlNet, IP-Adapter, inpainting), implement automated QC versus product references, deploy internal GPU-backed tools and one-click UIs, and own the technical roadmap with design stakeholders.

Lead technical projects as a hands-on developer, mentor engineers, and collaborate with teams to design solutions for financial data management.

Lead and guide development teams, ensure successful project delivery, translate business requirements into applications, uphold best practices in software development and DevOps.

Lead a team to enhance Cengage Learning Platforms by implementing AI-first strategies, improving software delivery processes, and ensuring product quality.

Lead and grow a small ML engineering team while staying hands-on: design and ship GenAI features, build agentic LLM systems (NER, classification, retrieval, summarization), partner with PM and engineering, scope ambiguous problems, and reduce COGS through ML automation.

Lead a small team as a Staff Engineer Tech Lead, contributing to technical direction and managing engineers to deliver scalable software systems.