Top Tech Jobs & Startup Jobs

Maintain and support platform environments across the software development lifecycle. Configure monitoring, alerting, and self-healing solutions; troubleshoot application and infrastructure issues with developers and testers; maintain technical documentation; design scalable architectural solutions; and mentor junior engineers. The role requires cloud, Kubernetes, operating system, database, scripting, configuration management, .NET, and AI/ML automation expertise.

Owns operational readiness for an existing SaaS product portfolio and partner-enabled offerings. Establishes readiness frameworks, standardizes release and enablement processes, coordinates cross-functional execution, manages third-party partner alignment, and incorporates customer feedback into planning. Tracks readiness, efficiency, and partner metrics while communicating risks and dependencies to stakeholders. This remote individual contributor role requires influencing teams without direct authority and includes occasional travel.

Own the end-to-end hardware lifecycle for private AI and data infrastructure, including architecture, component and silicon selection, system integration, validation, certification, procurement, manufacturing, and field reliability. Lead decisions across compute, GPUs, memory, storage, networking, thermal, and power systems while balancing performance, security, reliability, manufacturability, supply-chain risk, and total cost. Establish secure hardware foundations, manage vendors and contract manufacturers, and drive platform roadmaps from prototype through production and deployment.

Owns end-to-end customer deployments of AI and edge systems, including hardware, networking, sensors, data flows, integrations, and production inference. The role requires diagnosing cross-stack issues, building reusable deployment patterns, collaborating with customer and partner engineering teams, and translating field learnings into product improvements. It involves 25–50% travel and hands-on work across infrastructure, security, containerized software, and operational environments.

Build and operate production data and streaming systems across edge, hybrid, OT, IoT, and enterprise environments. Responsibilities include developing connectors, real-time event-driven pipelines, data contracts, schemas, validation, lineage, observability, telemetry, federated query patterns, and reliable integration platforms supporting analytics and AI. The role requires strong ownership, system design, documentation, incident readiness, and collaboration with engineering and customer-facing teams.

Develops scalable deployment patterns, playbooks, success frameworks, and KPIs that improve customer ROI, adoption, repeatability, and time-to-value. Advises customer and partner executives, translates field insights into delivery systems and requirements, and creates reference materials such as use cases, customer stories, blogs, and white papers. Partners across engineering, product, commercial, and deployment teams while using AI tools to accelerate documentation and operational improvement. Requires approximately 25–50% travel.

Manage a portfolio of 20–25 technical SaaS customers across onboarding, adoption, renewals, and expansion. Build success plans, connect product usage to business outcomes, advise customers on QA and automated testing, engage technical and executive stakeholders, manage risks and escalations, and partner with Sales, Product, and Engineering. Own renewal and expansion forecasting while delivering net and gross dollar retention targets.

Lead the strategy and execution of an integrated demand-generation engine for a B2B SaaS company. Own SEO, paid acquisition, website conversion, lifecycle marketing, analytics, attribution, content, agency relationships, and budget allocation. Build scalable marketing programs that convert PLG users, generate enterprise pipeline, and connect open-source adoption to revenue. Partner with Product, Sales, Design, and executives on positioning, campaigns, KPIs, and growth planning while mentoring future team members.

Build and operate core data infrastructure for edge and hybrid environments, including ingestion, OT/IoT integrations, real-time streaming, data contracts, schemas, validation, lineage, observability, telemetry, and scalable query access. The role requires production ownership, reliability practices, customer integration, and collaboration across engineering and customer-facing teams. Candidates should have 6+ years of experience with production data, streaming, or integration systems and proficiency in Python and/or Go.

Build and own the company’s iOS mobile application from the ground up, with Android planned next. Develop mobile UX, integrate authentication, payments, databases, APIs, and existing AI technology, and contribute across the backend when needed. Translate designs into polished production code, ship rapidly, iterate using user feedback and data, and establish mobile engineering practices. Collaborate closely with engineering, product, and design in a fast-paced, in-office startup environment.