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About Hive
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
The Role
At Hive, Forward Deployed Software Engineers utilize technical expertise of software engineering to directly tackle customer challenges and pain points. This role will serve as the primary point of contact for many of our enterprise customers, supporting them to achieve success with Hive’s API solutions and AI platforms. As a Forward Deployed Software Engineer, you will work alongside our customers to translate business and product ideas into engineering solutions, efficiently understand and resolve technical customer issues, and architect solutions that help improve the adoption of Hive’s products. You will work closely with Sales, Product, Engineering, and Operations, and build full-scale integrations to drive exceptional customer outcomes. This is a rare opportunity to work on the frontlines and directly execute high-impact projects for some of the largest enterprises.
Responsibilities
- Own the full end-to-end delivery of high-impact solutions for our most strategic partners
- Efficiently resolve urgent technical customer support tickets; ensure proactive and timely communication with key client stakeholders
- Drive innovation through coding and implementation in order solve complex problems
- Collaborate cross-functionally with product and engineering teams to influence priorities and shape product roadmap
- Build and maintain internal documentation, playbooks, and enablement content
- Actively partner with customers to define success metrics, KPIs, and adoption strategies aligned to their goals; track progress against metrics
- Represent the voice of the customer internally, and provide actionable feedback to influence product direction and feature development
- Monitor usage, adoption, and engagement metrics to proactively address risks and ensure long-term retention
- Maintain awareness of industry best practices for data maintenance handling as it relates to your role
- Adhere to policies, guidelines and procedures pertaining to the protection of information assets
- Report actual or suspected security and/or policy violations/breaches to an appropriate authority
Requirements
- Bachelor’s degree in computer science, mathematics, engineering, physics, or a related technical field
- 1+ years of software engineering experience
- Prior professional experience supporting technical customers and iterating solutions in real time
- Strong engineering background with proficiency in programming languages such as Python, Javascript/Typescript, or similar, and a deep understanding of software architecture and API integrations
- Excellent verbal and written communication skills and exceptional attention to detail, with experience engaging both business and technical audiences
- Ability to juggle multiple priorities in a fast-paced environment
Who We Are
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.
Thank you for your interest in Hive and we hope to meet you soon!
The current expected base salary for this position ranges from $120,000 - $200,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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