Head of Commercial

Algorized

Campbell (CA)

On-site

USD 150,000 - 250,000

Full time

14 days+
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Job summary

A fast-growing deep tech startup in California is looking for a Head of Commercial to lead their commercial strategy and execution. This senior role involves closing large enterprise deals and managing customer relationships to drive exponential revenue growth. The ideal candidate has over 15 years of experience in enterprise sales and a proven track record of successful negotiations. The position offers full-time employment with competitive compensation.

Qualifications

  • 15+ years in enterprise sales, strategic partnerships, or revenue leadership.
  • Success closing multi-million dollar deals.
  • Strong understanding of B2B/enterprise sales cycles.

Responsibilities

  • Lead strategic deal-making with large enterprise clients.
  • Own and execute the go-to-market strategy.
  • Develop and manage a high-value pipeline.

Skills

Enterprise sales
Strategic partnerships
Revenue leadership
B2B sales cycles
Complex deal negotiation
Cross-functional communication

Job description

Algorized is a fast growing deep tech startup redefining sensing and perception AI. Our sensor-agnostic software platform enables real-time human activity detection across automotive, robotics and smart devices. With strong R&D momentum and early commercial traction, we're now focused on scaling revenue 10x—and we're hiring a Head of Commercial to lead that charge.

As Head of Commercial, you will lead the company’s commercial strategy and execution, focused on closing large enterprise and strategic deals, expanding high-value customer relationships, and growing revenue exponentially.

This is a senior, high-impact role, reporting to CEO, for someone who thrives in deep-tech environments, understands long sales cycles and complex partnerships, and can scale from early traction to double-digit million-dollar revenue.

Responsibilities
  • Lead strategic deal-making with large enterprise clients from PoC to production and long-term contracts
  • Own and execute the go-to-market strategy to grow revenue 10x over the next 12–18 months
  • Develop and manage a high-value pipeline, ensuring predictable and scalable revenue growth
  • Drive negotiations on complex, multi-stakeholder deals involving licensing, integration, and scaling
  • Work closely with product and engineering teams to translate customer insights into product decisions, features, and roadmap prioritization
  • Establish a constant feedback loop between customers and R&D, ensuring product-market fit deepens over time
  • Define and track revenue KPIs, pricing strategy, sales cycles, and customer acquisition metrics
  • Represent Algorized externally at top-tier industry events and customer meetings
  • Build and grow a lean commercial team, including enterprise sales, partnerships, and customer success
  • Identify and secure strategic partnerships, including international expansions, licensing, and joint ventures
Qualifications
Minimum Qualifications
  • 15+ years in enterprise sales, strategic partnerships, or revenue leadership in deep tech, SaaS, or AI-driven startups
  • Demonstrated success closing multi-million dollar deals in software with Fortune 100/500 or global OEMs
  • Strong understanding of B2B/enterprise sales cycles, particularly in hardware/software systems markets
  • Experience negotiating complex technical deals involving pilots, integrations, licensing, or platform partnerships
  • Ability to scale from early-stage GTM to repeatable sales processes and team building
  • Strategic thinker with hands-on execution skills and high ownership mindset
  • Strong cross-functional communicator able to align sales, product, and engineering around market needs
Preferred qualifications
  • Background selling software, AI into robotics, automotive, semiconductor, hardware space
  • Technical fluency or past experience in engineering, embedded systems, or edge-AI
  • Experience scaling revenue in Series A to Series C companies

LOCATION

Campbell, CA/

EMPLOYMENT TYPE

Full Time

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