Top Tech Jobs & Startup Jobs in Spokane, WA

As a Lost Assets Specialist, you'll conduct forensic research, engage with claimants, and assist in recovering assets through ethical outreach and documentation support.

Design and implement backend services in Go for high-throughput AI workloads. Collaborate with teams, optimize system performance, and maintain cloud integrations.

The Senior Performance Designer will create performance-driven ads for paid media, collaborating with creative teams and guiding design iterations with a focus on conversion optimization.

Element seeks passionate individuals for future job opportunities. Applicants will be added to a talent pool for upcoming relevant positions in a remote-first environment.

Drive enterprise sales for employer groups of 5,000+ by building relationships with brokers, TPAs, PBMs and other partners, managing pipeline, presenting proposals, and closing deals to meet quota and grow revenue.

Serve as secondary client manager for large employer groups and primary day-to-day contact for a portfolio of smaller large-group clients. Perform benefits analyst duties—financial spreading, quoting, reporting, ben-admin configuration, eligibility/billing support—build renewal and enrollment materials, present client deliverables, coordinate vendors, and strengthen client experience cross-functionally.

The Senior Manager, Technical supports the ART program by providing technical expertise in GHG accounting, assessing participant submissions, and ensuring compliance with environmental standards. Responsibilities include collaboration with teams, guidance development, and tracking best practices in forest measurement and remote sensing.

The Tech Lead, Data Engineering is responsible for building backend services, guiding teams, and ensuring smooth operation and integration of Vida's programs while managing complex business logic and architecture.

The GTM Engineer will design and improve automated workflows for Sales, Marketing, and Customer Success, utilizing AI-powered systems to drive efficiency and revenue. Responsibilities include engineering execution layers and developing real-time data processing solutions while partnering with GTM leaders to measure impact.

As a Quantitative Researcher, apply economic and statistical models to large-scale data, collaborating to solve quantitative challenges across industries.