Top Remote Jobs

Lead end-to-end implementations of investigative case management SaaS solutions, serving as the primary customer contact from contract signing through launch and early adoption. Responsibilities include project management, requirements gathering, product configuration, integrations, data migration, user training, risk management, stakeholder communication, and post-launch improvement. The role collaborates with Product, Engineering, and Support while analyzing customer outcomes and refining scalable implementation processes.

Provide technical pre-sales consulting to financial institutions by leading discovery workshops, designing enterprise solution architectures, delivering demonstrations and presentations, supporting PoCs and technical evaluations, and responding to RFPs and security assessments. Partner with sales, product, engineering, security, delivery, and consulting teams to position solutions, manage implementation risks, develop repeatable offerings, and advise customers throughout the sales cycle.

Own the full sales cycle for Longeye’s AI-powered investigative workspace, selling to police and sheriff’s departments. Responsibilities include prospecting, cold outreach, networking, referrals, product pitches, demonstrations, ROI-based selling, contract negotiation, and on-site customer training. The role requires building a pipeline independently, explaining AI technology to law enforcement leaders, and leveraging an existing public safety network to close contracts.

Provides high-volume, multichannel B2B SaaS customer support through messaging, email, webinars, and video calls. Troubleshoots billing and technical issues, explains product functionality, documents conversations, escalates defects, and partners with Product, Engineering, Customer Success, and Sales. The role also develops support documentation, identifies process improvements, creates workflow automations, and uses Claude and other AI tools to improve productivity.

Drive new business among Fortune 500 brands by prospecting, closing, and managing new-logo accounts. Build client and partner relationships, develop account strategies, collaborate with engineering, product, and account management teams, report sales progress to the VP of Sales, and represent Tunnl at industry events. The role carries an estimated annual sales quota of $500,000–$750,000.

Designs and implements customer solutions using conversational and agentic AI products. Responsibilities include analyzing business needs, consulting with technical and business teams, improving AI assistant experiences, providing training and best-practice guidance, supporting escalations, building customer relationships, and reporting product feedback. The role requires Turkish and English fluency, business analysis or solution consultancy experience, and familiarity with conversational AI, speech technologies, data tools, SQL, APIs, or LLMs.

Leads new client acquisition and account growth for IT services, including staffing, staff augmentation, and fixed-bid projects. Manages the full sales cycle, develops client relationships, negotiates contracts, prepares proposals and RFP responses, maintains pipeline forecasts, and partners with delivery and leadership teams on go-to-market strategies.

Provides technical direction and hands-on engineering for connected products and cloud platforms. Defines system architecture, data models, integration patterns, technical roadmaps, and device-to-cloud designs. Leads modernization, reliability, security, observability, CI/CD, infrastructure, incident response, and disaster recovery efforts. Partners across engineering, product, science, quality, IT, DevOps, and external vendors while mentoring engineers and guiding architecture decisions involving cost, scalability, security, and customer impact.

Design and build core systems for AAA action or online games, including progression, equipment, skills, economy, rewards, balancing, and system integration. Develop intuitive UX/UI specifications, create detailed documentation, collaborate with programmers, artists, and QA, and design playtests to improve gameplay based on results. The role requires game-system design experience, numerical balancing skills, cross-functional communication, game development fundamentals, and preferably Unreal Engine and data analytics experience.

Build end-to-end machine learning systems spanning research reproduction, model evaluation, inference infrastructure, backend services, and product interfaces. Design rigorous experiments, evaluation datasets, and verification workflows; analyze model internals; investigate provenance and evasion; and convert findings into reliable production systems with APIs, background jobs, observability, testing, documentation, and user-facing React/TypeScript experiences.