Jobs at Hive

Creates technical and marketing content across engineering blogs, mailing lists, white papers, decks, web copy, and product documentation. Collaborates with sales, business development, design, and engineering teams; researches markets and industries; identifies end-user documentation needs; standardizes content across platforms; and applies SEO and data-driven insights. The role requires strong writing, technical understanding, organization, creativity, and the ability to manage multiple projects and deadlines.

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.

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.

Build high-performance, scalable frontend applications using React, Redux, JavaScript, HTML, and CSS. Collaborate with design and product teams to deliver user-focused features, participate in product decisions, improve team efficiency, and write secure, maintainable, testable code. The role requires strong UX sensibilities, independent decision-making, effective communication, and application of OWASP security practices.

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.

Design, build, and improve scalable backend systems, REST APIs, microservices, data processing pipelines, and distributed task systems. Write secure, maintainable code, contribute to product and engineering improvements, practice test-driven development, debug production issues, participate in on-call rotations, and apply security best practices including OWASP Top 10 techniques.

Senior Counsel, Commercial will draft, negotiate, and review technology transactions, including SaaS, data licensing, partnership, and master service agreements. The role will advise on privacy, AI regulations, data security, and commercial legal risks; improve contract processes, forms, and policies; collaborate with cross-functional teams and executives; and support the General Counsel on corporate matters.

Own end-to-end design for consumer and mobile products, from concept and prototyping through launch and iteration. Collaborate with engineering, product, and business teams to develop practical, polished experiences. Produce sketches, prototypes, and high-fidelity designs, conduct user research, support A/B testing, and incorporate feedback. The role requires strong communication, autonomy, attention to detail, and ownership of complete products.

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.

Own the roadmap, requirements, timelines, and execution for cloud-hosted deep learning models. Partner with machine learning, infrastructure, product, engineering, customers, and executives to define priorities, deliver new capabilities, improve model performance, track development progress, and establish best practices for secure, efficient delivery.

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.

Own and scale Deploy’s growth marketing function across paid and organic channels. Develop acquisition strategy, manage campaigns, lead experimentation, optimize audiences and creative, measure attribution and ROI, and report performance to executives. Collaborate with product, sales, design, and external partners while setting OKRs and identifying growth opportunities. Initially an individual contributor, the role is expected to hire and lead a small growth marketing team within the first year.

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.

Manages San Francisco office operations, facilities, catering, supplies, vendors, space planning, building relationships, employee access, and workplace events. Supports People Operations with benefits, immigration, and compliance needs, while assisting the CEO with calendaring, email, and travel. Helps maintain a positive company culture and secure, organized, well-functioning workplace.

Lead UI/UX design across product initiatives, manage and mentor designers, provide creative direction, and translate complex concepts into wireframes and prototypes. Collaborate with engineering, product, and business teams to create practical, consumer-centered solutions. Own design projects independently, maintain high-quality execution, manage competing priorities, and follow information security policies and procedures.

Supports the roadmap, requirements, development timelines, and execution of cloud-hosted AI models. Collaborates with machine learning, infrastructure, engineering, and product teams to define features, track delivery, understand customer needs, communicate product benefits, improve models, and enhance development practices. The role offers a path toward future product ownership and leadership.

Develop and manage enterprise sales opportunities for AI and cloud-based software products. Responsibilities include researching markets, generating leads, managing complex sales cycles from prospecting through onboarding, nurturing client relationships, hosting events, maintaining HubSpot CRM data, providing product feedback, and meeting or exceeding sales quotas.

Analyze Deploy’s media and sports offerings, priorities, metrics, client solutions, and commercialization strategies. Support multiple projects, communicate analytical findings, collaborate with machine learning and engineering teams, and contribute to business growth and client outcomes. The role also involves monitoring industry practices, protecting information assets, and supporting awareness of Deploy’s AI-powered products among target media, sports, agency, and advertiser communities.

Coordinate enterprise deployments of machine learning products across engineering, product, and business development teams. Responsibilities include configuring models, analyzing technical performance and customer data, generating accurate APIs, resolving technical issues, and managing client engagements. The role requires technical competence, client-facing communication, cross-functional collaboration, and programming knowledge in Python or Node.js.

Develop and productionize machine learning models at scale, including neural network design, data preparation, training, tuning, deployment, monitoring, and continuous improvement. Build scalable data pipelines and secure backend systems, conduct metric-driven research, improve engineering practices, mentor junior engineers, and collaborate cross-functionally. The role requires expertise in modern ML frameworks, distributed systems, Python or shell scripting, and a machine learning specialization such as computer vision or NLP.