JobsRevenue Operations ManagerSan FranciscoSales Operations Manager

Hive

Posted 8 days ago · Jobs at Hive

Sales Operations Manager

Hive · San Francisco, California, United States

Full-timeOn site2-5 yrs$90k–$150kListed as no visa sponsorship
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In short

Analyze sales metrics and funnel performance to generate actionable insights and identify initiatives that improve sales productivity. Partner with sales and marketing teams to optimize go-to-market processes and tools, maintain effective sales systems, and provide concise reporting to executive stakeholders.

What they're looking for

MUST-HAVE SKILLS

Sales OperationsHubSpotSales AnalyticsSales Funnel OptimizationCRMGo-to-Market StrategySales ReportingData Analysis

ALSO MENTIONED

Sales OperationsHubSpotCRMSales MetricsSales FunnelSales AnalyticsGo-to-MarketSales EfficiencySales Operations ToolsExecutive Reporting

Requires a bachelor's degree and 3–5 years of experience in operations or a similar analytical role at a software company, or in consulting or finance. Candidates should have strong HubSpot and analytical skills, excellent communication and organizational abilities, and the adaptability and initiative to succeed in a fast-changing environment.

About Hive

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Questions about this role

Is this Hive role remote?
Tagged on site.
What does it pay?
The posting lists $90,000–$150,000 a year.
Does it sponsor visas?
Listed as no visa sponsorship.
What experience does it ask for?
Listed as 2-5 years.

The posting, in full

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.

▶ READ THE FULL POSTING

About Deploy

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.

Sales Operations Manager

Deploy is looking for a strong sales operations leader to provide direction, insight, and strategy across the board. As a Sales Operations Manager at Deploy, you will sit cross-functionally across our sales and operations teams and will be responsible for generating actionable sales and go-to-market insights. You will play a critical role in improving and scaling our sales operations and partner with sales leaders to guide and execute on operational initiatives to enhance go-to-market productivity. Our ideal candidate is a natural leader who loves identifying trends and providing data-driven insights. A passion for start-ups and AI is a must.

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

Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Deploy, 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 Deploy and we hope to meet you soon!

The current expected base salary for this position ranges from $90,000 - $150,000. 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.

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This listing comes from Hive's own careers site. Apply links go to the employer. Last checked 23 Oct 2026.