Top Tech Jobs & Startup Jobs

Own the technical product vision, roadmap, and backlog for worksite technology platforms. Lead engineering delivery, Agile execution, architecture decisions, platform stability, incident management, vendor governance, integrations, and DevOps improvements. Drive cloud-first, API-driven, event-enabled solutions using microservices, Kafka, AWS, and related technologies while balancing business priorities, technical constraints, reliability, and operational excellence.

Own AI partnership development and a portfolio of strategic clients. Manage partner relationships, coordinate cross-functional launches, drive product adoption and expansion, convert trials, support renewals, and resolve partnership or client issues. The role requires technical fluency in AI/ML, APIs, and software implementation, along with strong communication, senior relationship management, commercial judgment, and comfort operating autonomously in ambiguous environments. Approximately 25% travel is required within the United States and to company hubs.

Drive territory sales by developing and executing strategic plans, prospecting schools and youth organizations, conducting discovery calls and presentations, managing the sales pipeline, forecasting accurately, cultivating customer relationships, and closing new business. The role involves representing Snap! Mobile at events, maintaining CRM records in HubSpot, meeting sales targets, and supporting customer acquisition, retention, and revenue growth.

Partner with account executives in enterprise pre-sales by addressing technical requirements, delivering customized demonstrations, building UAT environments, managing proof-of-concept exercises, conducting architecture and security reviews, and scoping solutions for implementation handoff. The role requires collaborating across sales, product, engineering, and professional services while supporting fintech and banking customers with identity, fraud, credit, and compliance solutions.

Drive net-new revenue from Fortune 500 advertisers by prospecting, building pipelines, engaging performance marketing decision-makers, developing tailored data-driven pitches, negotiating, and closing deals. Own the full sales cycle, maintain accurate forecasts, research client needs, build executive relationships, attend industry events, and partner cross-functionally to transition sold solutions to launch.

Design, build, and own the full data platform (ingestion, modeling, CI/CD, orchestration, observability, and BI). Implement streaming and batch pipelines for IoT data, enable governed self-service, enforce data governance/privacy/security, evolve AI access patterns, and provide technical leadership and mentorship to data engineers and data scientists to deliver production-ready analytics and ML capabilities.

Lead customer implementations for school districts, state agencies, and foundations. Manage onboarding project lifecycles, configure platforms, resolve implementation roadblocks, coordinate multiple stakeholders, identify expansion opportunities, deliver webinars and on-site training, synthesize customer feedback for product teams, and maintain implementation records for post-launch handoffs.

Provides technical and non-technical customer support for Vertafore software products. Resolves questions and issues using job aids, documents cases in a CRM system, supports multiple customer queues, and completes daily tasks accurately while meeting productivity and performance metrics. The role requires strong communication, organization, basic technology skills, reliable attendance, and the ability to learn quickly. No prior experience is required; onboarding and ongoing development are provided.

Own end-to-end design for mobile casino, bingo, and social games, including core mechanics, bonus features, monetization, virtual economies, UX/UI, LiveOps, and seasonal content. Partner with math, engineering, and QA teams on RTP, volatility, documentation, and implementation. Analyze KPIs such as retention, ARPDAU, session length, and LTV to guide tuning and experiments. Use AI tools for prototyping, concept development, specifications, and research.

Leads the design, development, deployment, and governance of an enterprise AI platform on AWS and Kubernetes. Builds agentic and multi-agent workflows, secure MCP and tool integrations, identity-scoped authorization, policy controls, isolated container runtimes, audit trails, and observability. Partners with engineering, security, regulatory, product, and business teams to deliver compliant AI infrastructure, troubleshoot complex distributed systems, shape technology strategy, and mentor technical teams.