Mid-Market Account Executive, Nominal
$200-300k
Unified industrial data stack
Open for applications
Unified industrial data stack
21-100 employees
Open for applications
$200-300k
21-100 employees
Company mission
To provide the tools and infrastructure engineers need to deliver mission-critical capabilities at scale in the shortest time possible.
Role
Who you are
- Proven sales experience: 4+ years of quota-carrying experience in a full cycle SaaS sales role selling technical software in the data management, AI / ML, or observability & analysis space
- Solution seller: The prospect of large, strategic, enterprise accounts is exciting. You thrive when it comes to complex solution selling and know how to pull together the right team across product, engineering, customer success, and more to get the job done
- Technical fluency: You can speak confidently about the technical challenges organizations encounter in their day-to-day workflows, whether to systems architects & technical integrators or mechanical engineers. The challenge of learning a new problem space is one you’re ready to take on with zeal
- Hungry for results: You’re aggressive in seizing on opportunities. You run with momentum, pushing the pace and challenging yourself to move more quickly. You’ll roll up your sleeves if that’s what it takes to build a pipeline, understand a customer’s needs, or get a deal over the line
- Dynamic leader & team player: You’re a natural at leading and lifting those around you with a mix of humility, eagerness to learn, and empathy. You’re excited to be an integral part of an early sales team
- Ready to roll: Need to travel to close a deal? No problem. You’re ready to be where the action is, anywhere, anytime
- Sales technology fluency: Experience with leading CRM systems (e.g., HubSpot, Salesforce), sales engagement tools (e.g., Outreach, Salesloft), buyer intelligence and engagement platforms (e.g., Common Room, Gong, Apollo), productivity or enrichment tools (e.g., LinkedIn Sales Navigator, ZoomInfo, Slack, Notion), and utilizing AI to create high-quality account research
- Product familiarity: Experience with data management and analysis tools, such as Databricks, Datadog, Snowflake, MATLAB, Grafana, and Splunk
- Data engineering proficiency: Knowledge of SQL, Python, Pandas, Influx, Timescale. Familiarity with Spark, Arrow, Kafka, Beam, and Flink
- Heavy industry experience: Background in aerospace & defense, industrials, manufacturing, energy, or automotive
- Technical degree: Background in engineering, data science, AI / ML, mathematics
What the job involves
- In this pivotal role, you'll deliver Nominal’s vision of providing continuous testing to the industrial base, equipping engineers to deploy capability at scale, in the shortest time possible.
- You’ll maintain end-to-end deal ownership, sourcing and selling a modern software platform to hardware customers.
- It’ll be your role to communicate how our technology fits into their existing stack and helps them meet their critical testing outcomes. You will also be counted on to shape the early sales team and its culture
- Own the deal: Manage the full sales cycle, including lead generation, opportunity qualification, negotiation, and closing, consistently moving deals through the pipeline and exceeding sales goals. Be dynamic and flexible enough to sell to a growth-stage startup and a large enterprise
- Build the pipeline: Do whatever it takes to boost pipeline figures, whether finding warm leads via an existing network, pushing high volumes of cold outbound, or partnering with marketing to develop creative lead-gen campaigns
- Sell to an outcome: Deeply understand your customers’ business and technical challenges, communicating Nominal’s value proposition to C-level executives, testing managers and chief engineers, discipline engineers, systems architects & IT professionals, and finance teams. You’re able to help people see exactly how our tech helps them meet their goals
- Partner effectively: Access the knowledge of the team around you, pulling in the right engineers to share targeted demos, perform discovery, identify capability gaps, understand integration and deployability options, share compliance and infosec guidance, and more. Work with business operations and marketing to develop the right sales collateral to nail the tailored messaging
- Maintain the forecast: Track activity against personal quotas and company goals, owning a live view into sales activity and monthly/quarterly forecasting
- Build the team: Nominal is in the early days of building out a sales team. Play a critical role in building the scalable sales engine, defining the sales strategy, and contributing to the sales culture. Have an owner’s mindset across everything you do
Our take
Whilst leading workflow platforms such as Monday and Basecamp are designed for general use, teams in more specific industries may benefit from experiences designed for their sector. Nominal has built a data analysis platform and workflow system tailored to the needs of engineering teams managing complex machines in industries such as aerospace and defense.
Nominal’s platform caters to engineering teams who develop, validate and monitor hardware, enabling them to build observability and control over mission-critical machines. It automates routine tasks and streamlines collaboration between team members, ensuring that all stages of a machine’s development have rigorous oversight.
Having only come out of stealth in 2024, Nominal’s path to market has been accelerated by several rounds of funding. This will be used to expand operations and business reach as it attempts to cut into a competitive market. With its target audience pitch well articulated, the company has become the fastest-growing software platform in hardware development with 6X customer growth across aerospace, defense, energy, robotics and manufacturing.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Jun 2025
$75m
SERIES B
Apr 2024
$20m
SERIES A
Total funding: $102.5m
Company benefits
- Employee-friendly equity terms
- $500/year hardware sensor stipend
- 100% health, dental, and vision coverage (for you and your family)
- Unlimited paid vacation
- 12-weeks parental leave
- Strong in-office [ATX, LA, NYC] culture
- Gourmet lunch provided daily
- Work-station stipend
- 401K
- Learning & development stipend
Company HQ
Little Tokyo, Los Angeles, CA
Leadership
Jason Hoch
(Co-Founder)Previously a Software Engineer/Engineering Lead at Vercel, Newfront Insurance and Palantir Technologies.
Cameron McCord
(Co-Founder & CEO)Previously an Investor at Lux Capital. Was also Head of Defense at Saildrone, Advisor at Applied Intuition, and worked in Product and Growth at Anduril Industries.
Bryce Strauss
(Co-Founder)Was an MBS and MBA Candidate at Harvard Business School, as well as Summer Associate at The Engine and a member of the Executive Leadership Development Programme at Lockheed Martin.
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