Top Tech Jobs & Startup Jobs in Providence, RI

Affiliate referral opportunity for well-connected professionals who can introduce qualified U.S.-based companies to Mode. Referrers identify companies with at least 20 employees and three years of operating history, connect decision-makers with Mode, and earn at least $50,000 or 6% of customer sign-up revenue for successful referrals. No full-time commitment or exclusivity is required, and participants may pursue additional sales involvement, commissions, and equity opportunities.

Develop and modernize Tableau dashboards for People Analytics, improving visualization, usability, performance, and self-service insights. Design and maintain Tableau row-level security for sensitive employee data, including dynamic access controls and entitlement mappings. Build optimized data sources and models using Snowflake and SQL, troubleshoot data and integration issues, document solutions, and collaborate with technical and business stakeholders on scalable analytics products.

Leads and develops the product management team while building scalable product operations. Translates product strategy into roadmaps, priorities, capacity decisions, and planning cadences. Establishes standards for specifications, QA, releases, outcome tracking, support, and escalations. Partners cross-functionally with engineering, design, go-to-market, customer success, and leadership to improve delivery predictability, communication, and team effectiveness.

Leads enterprise business development and complex B2B sales across the Southern US. Responsibilities include creating growth strategies, securing and expanding enterprise accounts, managing consultative sales cycles, developing proposals, negotiating contracts, forecasting pipeline, meeting revenue targets, and coordinating with Product, Client Success, Operations, and implementation teams. The role requires executive relationship management, technical solution selling, strategic account planning, and experience selling hardware-enabled services.

The DevOps Engineer will manage and optimize production platforms, improve system reliability, troubleshoot degraded services, and enhance internal processes. Responsibilities include building CI/CD pipelines with Jenkins and AWS, maintaining Docker-based infrastructure, managing cloud and container platforms, strengthening security, and improving monitoring and logging with tools such as New Relic, Splunk, and Tenable. The role requires collaboration, documentation, system-level troubleshooting, and client-facing communication.

As a Software Engineer on the Edge team, you will own edge networking configuration, manage DNS, and improve observability while shaping the team's engineering practices.

Develop pricing strategies, commercialization recommendations, market research, competitive intelligence, financial models, and executive analyses for veterinary technology products. The role evaluates pricing models, product costs, customer willingness to pay, market opportunities, margins, and revenue impacts while partnering with Product, Finance, Commercial, Operations, M&A, and executive teams on launches, strategic planning, partnerships, and portfolio decisions.

Own software product work from problem definition through launch and follow-up. Prioritize user and business needs, define scope and success measures, collaborate with design and engineering, manage stakeholder requirements, support testing and release readiness, communicate launches, and use post-launch data and feedback to guide improvements. This is a hands-on, fully remote individual contributor role supporting education technology products.

Own the operational health, observability, reliability, and failover of AI model providers and endpoints. Build SLO monitoring, canaries, quality regression detection, automated provider-operations tooling, and load-testing systems. Lead incident response, communicate with external providers, produce reliability scorecards, and drive postmortems and corrective actions. Support capacity planning and launch readiness for high-volume LLM inference traffic.

Develop and support a cloud-native workload credentials management solution within a SaaS platform. Responsibilities include designing scalable full-stack services, orchestration, APIs, distributed systems, and microservices; providing technical leadership; leading projects through delivery; collaborating cross-functionally; mentoring engineers; and applying engineering best practices. The role requires extensive Go development, cloud and SaaS expertise, modern JavaScript frameworks, and experience operating enterprise systems at scale.