About Hive
Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
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!
Sales Operations Analyst Role
Our Sales Operations Analyst is the bridge between the Sales and Operations teams, two critical functions of the health and growth of the company. You will use strong quantitative skills to analyze and create comprehensive yet straightforward reports on data regarding consumer behavior, existing and potential market trends, and the effects of applied and alternative sales strategies. You will be a key contributor to your team, responsible for day to day oversight of our CRM as well as plotting metrics against Hive’s operational plans and strategic goals to ensure alignment and focus. You are an eager team player who can work successfully with different personalities in order to accomplish your goals. Our ideal candidate is someone who actively assesses and improves upon the productivity of established processes, acts as a steadfast pillar of support for the entire Sales team, and is as passionate about AI as we are.
Responsibilities
- Work multi-functionally with diverse groups to find opportunities for process optimization, process redesign or development of new processes
- Develop and maintain standard reporting measures (e.g. sales reports) to facilitate summarization and analysis that will aid in the evaluation of operational initiatives and drive efficiency
- Actively participate in deal reviews with prospects, sales teams, and management
- Collect information from multiple sources and work on several projects simultaneously; flawless organization is a must
- Performs well in high-pressure situations in a fast-paced and ambiguous environment; able to execute whatever is thrown at them
- Recommend action plans based on the quantitative analysis and assessment of all sales operational reporting with the goal of improving customer experience and operational efficiency
- Work with Sales, Operations, and other teams to develop, evaluate, and propose technical and systematic procedures that make processes more productive
- Provide business analytics and insights to key business and market development initiatives
- Make recommendations to help improve business partners’ productivity and performance; proactively review and identify leading and lagging indicators
- Design, build and implement process automation solutions
- Comfortable with working in multiple CRM systems and processes
- 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
- You have a Bachelor's degree
- You have 1-3 years of experience in operations (or similar analytical role) at a software/SaaS company, preferably at a tech start-up
- You are comfortable with using Salesforce and possess strong analytical skills
- You’re able to work with large data sets and recognize patterns
- You have excellent written and verbal communication skills, are highly organized, and pay close attention to detail
- You have demonstrated success in a competitive environment
- You can easily adapt to changes in priority, meeting demands as they come about and staying focused on targets
- You are a strong team player, always looking for ways to contribute but also manages well independently
- You are eager to learn and improve on making current processes more efficient
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 $60,000 - $85,000. 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.
What We Do
Hive is a deep learning company solving visual intelligence challenges through three main pillars of the business: Hive Data, Hive Predict, and Hive Media. Hive Data is the world’s largest two-sided marketplace for machine learning data labeling. We have over 800,000 distributed workers helping research labs and enterprise clients generate high quality truth data sets in fields like autonomous driving and robotics. Hive Predict is our set of proprietary visual intelligence models that solve problems like the identification of celebrities and logos. We sell these APIs to companies looking to incorporate our models into their own workflows. Our flagship product is Hive Media, through which we are selling the world’s largest television analytics dataset. We are funded by leading investors like Peter Thiel (Founders Fund), General Catalyst, and 8VC. We have ~100 people globally, based in our San Francisco and Delhi offices.