Jobs at Hive

Own the roadmap, requirements, timelines, and execution for consumer applications. Partner with executive, engineering, machine learning, frontend, backend, and UI/UX teams to define and launch features. Analyze user data and feedback, establish KPIs, improve engagement, track delivery and engineering velocity, communicate product benefits, and drive continuous product improvement while maintaining security and information-protection practices.

Supports in-house counsel through legal and regulatory research, compliance reporting, contracting assistance, legal education coordination, and process improvement. Tracks regulatory developments across U.S. and international jurisdictions, assesses impacts on the company and customers, collaborates with Sales, Marketing, and Engineering, and helps implement tools for contract management and legal operations efficiency.

Supports marketing campaigns through research, audience feedback, data collection, campaign performance analysis, reporting, and presentation development. Collaborates across teams and with Business Development to build brand awareness and marketing strategies. Manages projects, oversees marketing material design and graphics, communicates product value, and maintains attention to data protection policies and industry practices.

Manage the employee lifecycle, including onboarding, offboarding, benefits, compensation, payroll, leave, performance management, employee relations, compliance, and visa-related requests. Oversee office operations, employee engagement events, HR data analytics, and inclusive culture initiatives. Partner with leadership and employees while maintaining information security, policy compliance, and employment-law adherence.

Design, build, and improve scalable backend systems, REST APIs, microservices, data-processing systems, and distributed job platforms. Write secure, maintainable, high-performance code; practice test-driven development; debug production issues; improve engineering standards and tooling; and participate in on-call rotations. The role requires designing highly available systems, building backend APIs, working with relational databases, and applying security best practices.

Manage daily office operations, catering, supplies, maintenance, vendors, facilities, access, space planning, and building relationships for the Seattle office. Coordinate events with People Operations, assist with HR administration, support executive calendaring and travel, and help maintain information security policies. The role requires strong organization, communication, adaptability, and enthusiasm in a fast-paced environment.

Build and improve scalable backend systems, including REST APIs, microservices, data processing, and distributed task systems. Develop secure, maintainable code; contribute to product and engineering improvements; practice test-driven development; debug production issues; participate in on-call rotations; and apply security and data-protection best practices.

Supports Deploy’s media and sports business by analyzing offerings, metrics, priorities, and commercialization strategies. Manages client project delivery, bridges clients with product and engineering teams, develops presentations and deal documents, and advises on AI-powered solutions. The role also contributes to client growth, industry awareness, and collaboration with machine learning teams while managing multiple priorities.

Manage daily recruiting team operations and full-cycle hiring for technical and non-technical roles. Mentor recruiters, partner with leadership and stakeholders, lead talent acquisition projects, and develop initiatives including referrals, university recruiting, sourcing, and diversity programs. Maintain recruiting metrics, optimize hiring processes, ensure Applicant Tracking System compliance, support audits, and follow information-security policies.

Build robust, scalable frontend applications for Deploy’s data and enterprise products. Collaborate with design, product, and engineering teams to deliver high-quality user experiences, participate in product decisions, improve team efficiency, and secure code using OWASP practices. The role requires strong JavaScript, HTML, CSS, React, Redux, software design, testing, communication, and independent decision-making skills.

Build secure, scalable frontend interfaces for Deploy’s data and enterprise products using React and JavaScript. Collaborate with design, product, and engineering teams to deliver user-focused features, participate in product decisions, improve team efficiency, and apply OWASP practices to protect information assets. The role requires strong web technologies knowledge, UX sensibility, maintainable coding practices, and effective communication in a fast-paced AI startup environment.

Support executive and company-wide operational initiatives, manage projects, improve processes, establish reporting and productivity goals, analyze operational metrics, and identify optimization opportunities. The role requires a versatile generalist who can synthesize stakeholder feedback, manage changing priorities, and contribute to high-impact projects in a fast-growing AI startup.

Build and maintain secure, reliable hybrid infrastructure supporting AI model inference and enterprise SaaS. Automate operational processes, improve developer and machine learning workflows, manage deployment tooling, monitor and audit infrastructure, optimize large-scale systems, and participate in on-call rotations and root cause analysis. The role works across Linux, cloud, container, networking, storage, databases, and distributed computing platforms, including GPU-enabled data centers.

Leads and mentors an engineering team developing large-scale AI infrastructure. Responsibilities include setting roadmaps, participating in architecture and technical design, guiding the full software development lifecycle, delivering product milestones, ensuring quality, managing security practices and risks, and collaborating with product, machine learning, QA, sales, and recruiting teams.

Lead and mentor an engineering team building large-scale AI infrastructure. Partner with product, machine learning, QA, and sales teams on roadmaps, architecture, development, experimentation, and deployment. Drive product milestones, feature delivery, quality metrics, security practices, risk management, recruiting, interviewing, and onboarding. Contribute to technical design and support engineers’ growth while maintaining information-security and data-handling standards.

Own quantitative product analysis for the Media team, including developing KPIs, dashboards, automated reporting, and analyzing high-volume data with SQL. Translate business questions into actionable recommendations for internal teams, partners, and clients. Collaborate with Business Development, Engineering, and QA on insights and product processes, while supporting data maintenance and information security practices.

Manage the full employee lifecycle, including onboarding, offboarding, benefits, compensation, payroll, compliance, employee relations, performance management, and engagement. Support office operations, HR data analytics, inclusive culture initiatives, and policy compliance while partnering with leadership and employees in a fast-growing technology company.

Manage business operations, reporting and productivity metrics, process and systems improvements, risk and security coordination, and client project execution. The role partners with executives, business teams, and engineering while supporting company growth in a dynamic AI startup environment.

Manage sales operations by analyzing key metrics, identifying funnel improvements, optimizing CRM and go-to-market processes, and delivering executive reporting. Partner cross-functionally with sales and marketing leaders to improve productivity, maintain data quality, and execute operational initiatives in a fast-changing AI startup environment.

Build, train, deploy, and optimize production-scale machine learning models and neural networks. Design scalable data pipelines, distributed training systems, backend improvements, and high-throughput inference solutions. Conduct metric-driven research, improve model accuracy and performance, maintain secure and high-quality code, mentor junior engineers, and collaborate cross-functionally. The role focuses on deep learning, computer vision or NLP, and taking ML products from concept through production.