Top Tech Jobs & Startup Jobs in Charleston, SC

Designs and modifies blow mold, injection molding, robotic, automation, and plastic welding tooling. Manages tooling procurement, acquisition, replacement, and improvement projects. Investigates tooling reliability issues, leads root cause analysis and corrective actions, conducts condition assessments, develops maintenance procedures, and supports troubleshooting and repair planning. Serves as a technical expert in FMEA and RFMEA activities.

Develops and supports industrial control systems, PLCs, HMIs, robotics, automation, and industrial networks for manufacturing operations. Supports equipment specification, procurement, production launches, tooling, process development, reliability improvements, FMEAs, time studies, troubleshooting, and Industry 4.0 initiatives. Works across blow molding, injection molding, production, and maintenance teams to improve cycle time, process stability, equipment performance, and manufacturing flexibility.

Own the architecture and long-term direction of Alpaca’s Redpanda-based event streaming platform. Lead migration to event-driven systems, design scalable real-time client streaming, establish schema and library standards, shape authentication for streaming, partner on resilience and testing, mentor engineers, influence cross-team technical decisions, and participate in platform on-call. The role primarily uses Go and involves Kubernetes, Helm, PostgreSQL, observability, and distributed systems.

Build and own automated testing frameworks, CI/CD infrastructure, load and stress testing, and chaos engineering practices for a brokerage platform. Write primarily Go, integrate AI and LLM tooling into quality workflows, investigate application and Kubernetes failures, improve developer tooling, and mentor engineers on reliability and test coverage.

Build and architect Alpaca’s algorithmic trading platform, developing high-performance, low-latency brokerage systems. Responsibilities include extensive frontend and backend coding, distributed system design, database and concurrency architecture, high availability, throughput optimization, and object-oriented modeling. The role requires prior experience with trading or exchange systems, including OMS and RMS platforms, and involves making critical technical decisions in a demanding early-stage environment.

Lead the design and continuous improvement of the company’s sales operating model. Oversee forecasting, pipeline governance, territory and quota planning, compensation, CRM governance, seller productivity, and operational cadence. Partner with GTM Engineering and business leaders on sales technology strategy, automation, and AI adoption. Build and lead Sales Operations and Strategy & Planning teams while aligning Sales, Finance, HR, Marketing, Systems, and post-sales functions.

Develops and secures new OEM and industrial customers for manufactured components, including castings, forgings, machined parts, polymers, and molded products. Manages the full business development cycle from prospecting and RFQs through negotiation, customer award, and production launch. Builds recurring production opportunities, interprets technical requirements, collaborates with engineering and manufacturing teams, maintains CRM pipelines, and travels approximately 50% to meet customers and generate new business.

Own LoopMe’s Unity SDK product surface, including architecture, cross-platform native integrations, open-source publishing, CI/CD, reusable tooling, validation apps, licensing, testing, documentation, and partner support. Collaborate with iOS, Android, and quality engineering teams to maintain platform parity. The role requires deep Unity SDK architecture expertise, C#, Kotlin, Swift, Objective-C++, mobile development, package distribution, and ad-tech privacy frameworks.

Develop and deliver native iOS features for MyFitnessPal’s AI-powered food logging experience. Responsibilities include implementing user interfaces, optimizing performance and network communications, building tested and secure solutions, collaborating with product and design teams, researching technical approaches, mentoring developers, and contributing to deployment and engineering best practices.

Designs and maintains scalable data models, semantic layers, ETL/ELT workflows, data-quality frameworks, and governed analytics products for commercial operations. Owns data solutions from requirements through deployment, monitoring, documentation, and support. Partners with technical and business stakeholders to deliver trusted reporting, dashboards, scorecards, productivity measurements, and AI-enabled decision support.

Advise product, engineering, marketing, and partner teams on commercial terms, privacy, AI governance, cybersecurity, regulatory compliance, and data protection. Draft and negotiate resale, referral, distribution, technology partner, cloud marketplace, and services agreements. Monitor emerging regulations, assess legal and ethical risks, and support commercial strategy, product launches, partner programs, and public-sector routes to market.

Build and operate production-grade, cloud-native AI applications across the full stack. Responsibilities include integrating and optimizing AI models, developing evaluation and monitoring pipelines, operating reliable production systems, collaborating with stakeholders, leading design reviews, mentoring engineers, and participating in on-call rotations. The role supports proof-of-concepts, MVPs, and long-term product development while applying MLOps, LLMOps, DevOps, security, testing, and SRE practices.

Build and operate enterprise AI infrastructure for security teams, including model gateways, agent workflows, retrieval systems, evaluation, observability, and security guardrails. Drive adoption across detection, incident response, threat intelligence, vulnerability management, GRC, and security engineering. Develop production AI applications, establish governance and standards, measure impact, teach teams, and lead technical change through influence as a senior individual contributor.