Cyngn

Head of Revenue Operations

Cyngn  •  Mountain View, CA (Hybrid)  •  1 month ago
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Job Description

About CyngnBased in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company. We deploy self-driving industrial vehicles like forklifts and tuggers to factories, warehouses, and other facilities throughout North America. To build this emergent technology, we are looking for innovative, motivated, and experienced leaders to join us and move this field forward. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you. Key reasons to join Cyngn: 
We are small and big.With under 100 employees, Cyngn operates with the energy of a startup. On the other hand, we’re publicly traded. This means our employees not only work in close-knit teams with mentorship from company leaders—they also get access to the liquidity of our publicly-traded equity.
We build today and deploy tomorrow.Our autonomous vehicles aren’t just test concepts—they’re deployed to real clients right now. That means your work will have a tangible, visible impact.
We aren’t robots. We just develop them.We’re a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone’s perspective matters—and that’s what powers our innovation.
About this role: We are seeking a Head of Revenue Operations to transform how Cyngn drives revenue by building a structured, data-driven growth engine across Sales, Marketing, and Customer Success. This role will own funnel design, pipeline analytics, forecasting frameworks, and operational systems that enable predictable, scalable revenue growth. As a key partner to the executive team, you will institutionalize process rigor and develop metrics frameworks that align with aggressive revenue growth targets and long sales cycles.

Responsibilities

  • Revenue System Design: Build and maintain top-of-funnel architecture, including lead scoring, segmentation, conversion benchmarks, and pipeline health dashboards, and hold sales individuals accountable for meeting these benchmarks
  • Data-Driven Pipeline Management: Institute stage-by-stage analytics, win/loss modeling, and probability-weighted forecasting to improve forecast accuracy and deal velocity.
  • Operating Cadence: Establish and lead weekly/monthly growth reviews, funnel retrospectives, and KPI forums that drive accountability across Sales and Marketing.
  • Tools & Data Integrity: Define CRM data schema, drive CRM hygiene standards, and implement analytics tooling to extract actionable insights (CRM, attribution, forecasting, dashboards).
  • Cross-Functional Collaboration: Partner with Sales Leadership, Marketing, Product, and Finance to align on ICP definition, lead generation strategy, and growth priorities.
  • Performance Measurement: Define success metrics and attribution models for lead sources, campaigns, sales activities, and revenue outcomes.

Qualifications

  • Experience: 8+ years in Revenue Operations, Sales Operations, or similar GTM analytics role in B2B SaaS or enterprise software environments.
  • Analytical Rigor: Strong background in data analytics, forecasting, funnel modeling, and KPIs (experience with CRM systems and BI tools required).
  • Revenue Growth Mindset: Proven track record of building systems that accelerated pipeline velocity and improved forecast precision.
  • Process Builder: Skilled in translating business goals into repeatable processes and dashboards that scale with the business.
  • Collaborator: Fluency working cross-functionally with sales, marketing, finance, and product to unify GTM execution against strategic metrics.
  • Communication: Ability to present data clearly to executives, drive cross-team alignment, and influence without authority.

Bonus Qualifications

  • Experience in Robotics, IoT, SaaS, or other high-tech B2B environments
  • Strong CRM and analytics stack fluency (e.g., Salesforce, HubSpot, Tableau/Looker, Outreach, Marketo)
  • Track record of driving measurable growth improvements through operational excellence

Benefits & Perks

  • Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
  • Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)
  • Company 401(k)
  • Commuter Benefits
  • Flexible vacation policy
  • Remote or hybrid work opportunities
  • Sabbatical leave opportunity after 5 years with the company
  • Paid Parental Leave
  • Daily lunches for in-office employees and fully-stocked kitchen with snacks and beverages
  • Monthly meal and tech allowances for remote employees

Cyngn

About Cyngn

Automate your material handling and repetitive workflows with our Autonomous Tuggers and Forklifts. Our self-driving technology, DriveMod, is built on trusted, heavy-duty vehicles from legacy OEMs like Motrec and BYD to ensure that our self-driving industrial vehicles can do the most demanding industrial jobs, are familiar to operate and a breeze to maintain.

Studies have shown that our deployments reduce labor costs by 64% and have made teams 33% more productive. That’s like adding an additional team member for every three workers at your facility — instantly.

With DriveMod, Your Industrial Vehicles —

• Safely navigate sites without the need for special infrastructure.

• Leverage multiple, redundant, and intelligent layers of safety.

• Execute missions based on a variety of flexible, programmable skills — including "auto-unhitch".

• Be switched into manual mode and driven by a human.

• Transport goods to any on-site location, indoors and outdoors.

• Haul and tow thousands of pounds of heavy goods and cargo.

• Execute missions based on a variety of flexible, programmable options.

• Collect data and reveal suggestions for optimization.

• Be remotely managed and monitored via the FMS or on-vehicle display.

Industry
Manufacturing & Production
Company Size
51-200 employees
Headquarters
Mountain View, California
Year Founded
2013
Website
cyngn.com
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