Deploy is an intelligence infrastructure platform that gives developers and enterprises access to open source and proprietary AI models. For leading open source LLMs, Deploy operates an optimized model inference engine that keeps costs and latency low while maintaining high throughout. Deploy also offers a set of proprietary AI models that address challenges in content safety, AI & deepfake detection, sponsorship intelligence, and IP & publicity protection. Trusted by the world's largest and most innovative organizations, Deploy's solutions unlock high-performance AI model inference at production scale.
Deploy has raised more than $200M from leading investors, including Tomales Bay Capital, General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. The company has more than 250 employees across offices in San Francisco, Seattle, New York, and Delhi.
Responsibilities
- Measure, track, and analyze key sales metrics relevant for our business and create actionable insights from such data
- Identify and execute on initiatives to improve sales funnel performance
- Partner with the sales team to utilize systems that increase sales efficiency, including CRM and additional sales operations tools
- Collaborate with sales and marketing teams to optimize go-to-market processes and tools
- Create concise, regular reporting for various executive stakeholders
- 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
- You have 3-5 years of experience in operations (or a similar analytical role) at a software company, or 3-5 years of experience in consulting or finance
- You have lived and breathed HubSpot and have strong analytical skills that you put to use daily
- You can see trends in seemingly dissociated data
- You have excellent written and verbal communication skills, strong attention to detail, and superior organizational abilities
- You have demonstrated success in a competitive environment
- You are comfortable with adapting and adjusting to multiple demands, shifting priorities, ambiguity, and rapid change
- You are driven; no one needs to push you to excel –– that’s just who you are
- You are hungry to learn and actively look for opportunities to contribute
Skills Required
- Bachelor's degree
- 3-5 years of experience in operations or a similar analytical role at a software company
- 3-5 years of experience in consulting or finance
- Strong HubSpot experience
- Strong analytical skills
- Ability to identify trends in disconnected data
- Excellent written and verbal communication skills
- Strong attention to detail
- Superior organizational abilities
- Demonstrated success in a competitive environment
- Ability to adapt to multiple demands, shifting priorities, ambiguity, and rapid change
- Self-driven and motivated work style
- Willingness to learn and contribute
What We Do
Hive is the leading provider of cloud-based enterprise AI solutions to power the next wave of intelligent automation. The company offers a portfolio of best-in-class deep learning models, built with consensus-validated training data sourced and annotated by a distributed workforce of more than 2 million registered contributors. Hive's APIs enable use cases including automated content moderation, contextual advertising, advertising and sponsorship measurement, document parsing, and more. Hive processes billions of API requests per month for many of the world’s largest and most innovative companies. Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Jericho Capital, Bain & Company, Visa Ventures, and others. In April 2021, Hive announced a $50M Series D at a $2B valuation. The San Francisco-based company has 175+ full-time employees globally, in addition to a distributed workforce of more than 2 million global contributors that supports data labeling operations. For more information, visit thehive.ai.









