Full-Time
Mid-Market Account Executive
Posted on 5/15/2025
Nominal
201-500 employees
SaaS platform for hardware data monitoring
Compensation Overview
$100k - $175k/yr
Los Angeles, CA, USA
In Person
US Top Secret Clearance Required
 Sales & Account Management (2) |
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- 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.
- 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.
- ITAR Requirements: To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State.
- 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.
- 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
Nominal.io provides a software-as-a-service platform for engineering teams to explore, monitor, and enrich data from complex hardware systems. The secure platform consolidates data from multiple sources, enabling engineers to manage and analyze information to ensure hardware performs reliably. The product is accessed via a subscription model, with ongoing features and updates and closer collaboration with a select group of customers to tailor the platform to high-demand, mission-critical industries. Nominal.io is positioned to help aerospace, defense, energy, and telecommunications teams test and deploy hardware up to ten times faster than traditional methods by offering a centralized, secure data environment. The company’s goal is to accelerate hardware deployment, improve system resilience, and enhance performance of critical hardware through a dedicated SaaS platform and partnerships with key customers.
Company Size
201-500
Company Stage
Series B
Total Funding
$182.5M
Headquarters
Austin, Texas
Founded
2022
Simplify's Take
What believers are saying
- Mach Industries partnership enables fly-fix-fly cycles for UAV production in 2026.
- HII deploys Nominal across REMUS UUVs and ROMULUS USVs for 30 navies.
- Forterra uses Nominal for AutoDrive validation in ROGUE-Fires Army programs.
What critics are saying
- Shield AI's Hivemind bypasses Nominal in Navy tests within 6 months.
- Anduril's Lattice OS eliminates Nominal dependency for defense primes by 2027.
- HII's 2026 UUV rollout exposes Nominal's data latency failures under load.
What makes Nominal unique
- Nominal Core unifies telemetry, video, logs, and simulations in one searchable database.
- Nominal Connect automates hardware-in-the-loop testing and edge processing.
- Fid Labs acquisition embeds AI Analyst for autonomous dataset analysis.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
Unlimited Paid Time Off
Professional Development Budget
Quarterly company retreats
Growth & Insights and Company News
6 month growth
↓ -8%1 year growth
↓ -10%2 year growth
↑ 9%Mach Industries selects nominal to run test infrastructure for its next-generation strike and surveillance systems. The partnership brings automated readiness decisions and full traceability from the simulation to the factory floor. March 24, 2026 06:00 ET | Source: Nominal, Inc. LOS ANGELES, March 24, 2026 (GLOBE NEWSWIRE) - Nominal, the connected test and operations platform for complex hardware systems, today announced that Mach Industries, developer of next-generation unmanned systems for the U.S. Army, Air Force, and Special Operations Command, has selected Nominal as its engineering, test and operations data infrastructure. The partnership spans Mach's entire development arc - from early flight test through high-rate production at Forge, its flagship manufacturing facility in Huntington Beach. Mach Industries designs and produces unmanned systems, including Viper, its jet-powered vertical-takeoff UAV; Glide, a high-altitude precision strike platform; and Stratos, a persistent stratospheric platform for customers including the U.S. Army, Air Force, and Special Operations Command. As Mach's program portfolio expanded and flight test tempo increased, its engineering teams needed a way to ingest and compare test data across distributed teams and facilities without losing the traceability that active DoW programs demand. With Nominal, Mach's engineers ingest test data from each flight and ground run in seconds, enabling real-time, post-test review and cross-run comparison from a unified platform. Engineering teams use Nominal's automated checks and workbooks to define what "good" looks like and to flag anomalies early, before they compound across a growing fleet of systems. As Mach advances toward higher flight test cadence and scales manufacturing at Forge, next phases of the partnership will bring automated go/no-go reporting and direct requirements-to-test traceability - the connective tissue between what a system is supposed to do and what it actually did during testing. Nominal supports Mach's rapid "fly-fix-fly" cycles with rigor, enabling the delivery of breakthrough capabilities at the speed of operational relevance. The Mach partnership extends Nominal's footprint into next-generation aerial and strike programs and reinforces a pattern the company has seen across its customer base: the teams moving fastest are also the most disciplined about data.The partnership also demonstrates that speed and rigor are not in tension, but compound when teams have the right data foundation. "Mach is building some of the most capable unmanned systems in the world, and they're building them fast. Nominal gives their engineers the data infrastructure to match that pace without cutting corners on rigor," said Cameron McCord, CEO and co-founder of Nominal. "National security depends on America's ability to field asymmetric capability faster than adversaries can respond. Nominal helps us compress the loop between test and production so we can do exactly that," said Ethan Thornton, founder and CEO of Mach Industries. The Nominal platform connects data across simulation runs, bench tests, and live flight telemetry, giving Mach's engineers a consistent analytical environment regardless of test phase or location. As Mach scales flight test tempo and brings Forge online for high-rate production, Nominal's connected test infrastructure provides the traceability layer that links component performance to system-level outcomes, from simulators to the factory floor to the field. About Mach Industries Founded in 2023, Mach Industries is a defense manufacturing company headquartered in Huntington Beach, California. The company develops advanced unmanned systems and the manufacturing infrastructure to scale their production. By vertically integrating weapons, propulsion, and manufacturing, Mach delivers the speed, adaptability, and resilience required to preserve the allied edge in an increasingly contested world. For more information, please visit us at machindustries.com and follow us on LinkedIn and X About Nominal Founded in 2022, Nominal is built on the belief that learning from tests faster than the threat is how the United States builds lasting technological advantage. By turning testing into a continuous, secure source of truth across complex programs, Nominal helps the government and its partners field mission-critical systems with speed and confidence. For more information, visit nominal.io. Follow Nominal on LinkedIn and X. Release Summary Nominal powers Mach Industries' UAV test infrastructure - connecting simulation to factory floor and compressing test-to-production loops for rapid fielding. Recommended reading. Explore. March 24, 2026 08:00 ET March 24, 2026 08:10 ET March 24, 2026 08:02 ET March 24, 2026 08:00 ET March 24, 2026 08:10 ET March 24, 2026 08:02 ET March 24, 2026 08:00 ET
From test floor to fleet: HII and Nominal team to compress the autonomous unmanned production curve. * News Release Multi-year partnership brings modern data infrastructure and automated testing workflows to world's most widely deployed autonomous maritime platforms. McLEAN, Va., (March 4, 2026) - HII (NYSE: HII), the world's leading manufacturer of autonomous surface and underwater unmanned vehicles, and advanced engineering and test firm Nominal, today announced a partnership to modernize the collection, validation, and analysis of data, including digital-twin test and mission data, for HII's REMUS family of autonomous unmanned underwater vehicles (UUVs) and ROMULUS unmanned surface vehicles (USVs). The partnership will support standardized workflows, democratized access to product data from the component level to the vehicle level, accelerated vehicle post-mission analysis, and improved traceability and trend analysis of historical data across all stages of vehicle assembly and testing. REMUS vehicles are the world's leading UUVs and are trusted by more than 30 navies worldwide, including 14 NATO members, for missions such as mine countermeasures, undersea survey, intelligence collection, and environmental sensing. Paired with HII's proven REMUS UUVs, the ROMULUS USV significantly extends undersea reach by closing anti-submarine warfare sensing gaps and keeping manned platforms at a safer standoff distance. Together, ROMULUS and REMUS deliver a scalable, dual-domain solution across surface and subsurface missions that integrates with manned platforms to enable a hybrid fleet capability. The Nominal-supported data project is one of several improvements HII is implementing across the REMUS and ROMULUS manufacturing pipeline to augment vehicle production and overall manufacturing capacity. "The REMUS UUV is a proven, globally deployed platform, and our partnership with Nominal strengthens how we scale and evolve it while accelerating the development of the ROMULUS USV family," said Eric Chewning, executive vice president of maritime systems and corporate strategy at HII. "By standardizing how we collect and analyze test data, we are shortening feedback loops, improving traceability, and moving faster from testing to delivery - advancing maritime autonomy at a time when it is critical to the security of the U.S. and our allies." "Autonomy programs move at the speed of their test-and-learn loop," said Cameron McCord, CEO and co-founder at Nominal. "To maintain maritime security, autonomy is no longer optional, but necessary - and the HII and Nominal partnership will bring resilient technologies to bear at speed, at scale." The partnership builds on a successful pilot completed in 2025 that demonstrated meaningful cycle-time reductions across multiple workflows. During the pilot, teams reduced some analysis tasks from hours to minutes through standardized, automated analysis templates, and cut certain production test steps by approximately half by streamlining data capture and execution on the test floor. In 2026, HII and Nominal will broaden deployment to support increased REMUS and ROMULUS production by integrating Nominal's tools across HII's product lifecycle and manufacturing systems. The focus is on providing engineering, test, and quality teams with a shared, repeatable way to collect, validate, and analyze data - reducing time spent assembling information and increasing time spent on expanding production capacity. HII is America's largest shipbuilder, delivering the world's most powerful ships and all-domain mission technologies, including unmanned systems, to U.S. and allied defense customers. HII is the largest producer of unmanned underwater vehicles for the U.S. Navy and the world. With a more than 140-year history of advancing U.S. national security, HII builds and integrates defense capabilities extending from the core fleet to C6ISR, AI/ML, EW and synthetic training. Headquartered in Virginia, HII's workforce is 44,000 strong. For more information, visit: About Nominal Founded in 2022, Nominal is built on the belief that learning from tests faster than the threat is how the United States builds lasting technological advantage. By turning testing into a continuous, secure source of truth across complex programs, Nominal helps the government and its partners field mission-critical systems with speed and confidence. For more information, visit: https://nominal.io/. Follow Nominal on LinkedIn and X. Download text file * March 14, 2026 * March 12, 2026 * March 11, 2026
Nominal selected by Forterra to power data infrastructure for defense autonomy programs. Partnership brings production-grade test and operations platform to the most widely deployed autonomous ground vehicle system in defense. March 12, 2026 14:00 ET | Source: Nominal, Inc. LOS ANGELES, March 12, 2026 (GLOBE NEWSWIRE) - Nominal, the connected test and operations platform for complex hardware systems, today announced that Forterra, the leader in autonomous mission systems for defense, has selected Nominal to support testing, validation, and mission operations for its AutoDrive autonomous driving system. The partnership extends Nominal's footprint in defense autonomy, providing unified data infrastructure for Forterra's production-rate delivery. AutoDrive, Forterra's autonomous driving system, is the most widely deployed defense operation, fielded across more than a dozen vehicle platforms, including combat zones. As Forterra expands production for programs including ROGUE-Fires and various Army ground autonomy initiatives, the company required data infrastructure that could support consistent validation across simulation, hardware-in-the-loop, and vehicle testing, while enabling real-time visibility for field operations at distributed test ranges. "We're at an inflection point where our testing infrastructure needs to match the pace and rigor of production," said Forterra's Chief Innovation Officer Scott Philips. "Nominal gives us a single source of truth across every test environment, simulation, HIL, and vehicle so our teams can validate faster and ship with confidence." Forterra operates across distributed environments, from simulation labs to hardware-in-the-loop benches multiple test ranges in continuous operation. Nominal unifies data from all of these sources, giving engineering teams consistent methods for regression testing, real-time field validation, and post-test analysis regardless of where or how a test was run. As vehicle deployments scale, the same infrastructure supports fleet-wide analytics, anomaly detection, and sustainment planning across software versions and assets. "In autonomy development, the difference between weeks and hours for bug identification can determine program timelines," said Cameron McCord, CEO and co-founder at Nominal. "We built Nominal so teams building mission-critical hardware can run disciplined testing at scale and turn results into decisions fast." The partnership reflects growing demand for modern data infrastructure among hardware-intensive defense programs. As autonomous ground systems become central to how the U.S. and its allies operate, the ability to validate at speed - without sacrificing traceability - will separate programs that deliver from those that stall. For Nominal, the Forterra partnership deepens the company's presence in defense autonomy and demonstrates how the same data infrastructure principles that transformed commercial software development are now arriving for mission-critical hardware programs where reliability is non-negotiable. About Forterra Forterra delivers autonomous mission systems for defense. From self-driving land systems to coordinated swarms of robotic systems, Forterra builds scalable, robust, mission-critical hardware and software platforms that empower its customers to deploy autonomy as a force multiplier, extending reach, survivability and effectiveness across the battlespace and industrial applications. Forterra is headquartered in Clarksburg, Md., with offices in Arlington, Va., Winter Park, Fl., Ketchum, Id. and Palo Alto, Ca. To learn more, go to forterra.com. About Nominal Founded in 2022, Nominal is built on the belief that learning from tests faster than the threat is how the United States builds lasting technological advantage. By turning testing into a continuous, secure source of truth across complex programs, Nominal helps the government and its partners field mission-critical systems with speed and confidence. For more information, visit: https://nominal.io/. Follow Nominal on LinkedIn and X. Release Summary Nominal selected by Forterra to support testing, validation, and mission ops for AutoDrive, powering defense autonomy with unified data infrastructure. Recommended reading. Explore. March 12, 2026 14:04 ET March 12, 2026 14:01 ET March 12, 2026 14:00 ET March 12, 2026 14:20 ET March 12, 2026 14:04 ET March 12, 2026 14:01 ET March 12, 2026 14:00 ET March 12, 2026 14:20 ET March 12, 2026 14:04 ET March 12, 2026 14:01 ET March 12, 2026 14:00 ET
Nominal, a data and AI platform for hardware engineering co-founded by Cameron McCord, Jason Hoch and Bryce Strauss, is addressing the gap between software development practices and hardware testing. The company serves four of the top five US defence primes and clients including Anduril and the Corvette racing team. The founders believe hardware companies lag behind software in data infrastructure, with many still relying on local storage and manual reporting rather than cloud-based systems. Most hardware engineers download data individually to analyse in MATLAB or Python, then share results via screenshots and PowerPoint presentations. Nominal focuses on hardware testing as the entry point for AI adoption, helping companies blend simulation outputs with real-world telemetry data. The platform addresses what the founders call a fundamental challenge: "physics gets a vote", requiring rigorous validation before physical products enter the real world.
Meet the breakout VC who goes deep to make a '360-degree' behavioral map before investing in founders. I've interviewed hundreds of VCs, and one thing is undeniably true: there are lots of different ways to be a VC. But almost everyone pays lip service to how much they love working with founders - and honestly, that's not interesting. What is interesting is what it actually takes to truly know someone. That's a question Adam Zeplain, cofounder and managing partner of Austin-based Mark VC, has thought deeply about. Here's how his process starts, from my feature on Zeplain's deeply psychological approach to venture capital published today: When founder Jeff Cardenas took his first meeting with venture capitalist Adam Zeplain in 2023 he was expecting to answer questions about his robotics company's revenue, margins, and market share. Zeplain surprised him, opening with: "Tell me about your father." "I thought: Oh, he's going there, let's do this," said Cardenas of their first meeting. Cardenas, the CEO and cofounder of humanoid startup Apptronik, wasn't expecting a therapy session. But he talked openly, then provided Zeplain a list of everyone close to him - his wife, his coworkers, his childhood best friends. Zeplain called them all. The deal got done at a $250 million post-money valuation, and as of February, Apptronik is valued at more than $5 billion. Zeplain says he can't always predict which businesses succeed, but he's gotten quite good at understanding which people will succeed. "This is not one-size-fits-all," said Zeplain. "Sure, there are certain tenets you can repeat and reuse. But this is a tailored approach to who someone is." Zeplain - whose investments include CrowdStrike, Reddit, Ring, Capella Space, and Anduril - gets to know founders in a way that's systematic and personalized. It's very much worth considering in an environment where the venture dollars are many, but clarity is scarce. See you Monday, Venture capital. - Cognito, a Cambridge, Mass.-based developer of therapies designed for neurodegenerative diseases, raised $105 million in Series C funding. Morningside Ventures, IAG Capital Partners, and Starbloom Capital led the round and was joined by New Vintage, Apollo Health Ventures, Benvolio Group, and others. - Nominal, a Los Angeles, Calif. and Austin, Texas-based testing and operations platform for hardware engineering firms, raised $80 million in Series B-2 funding. Founders Fund led the round and was joined by existing investors Sequoia Capital, Lux Capital, General Catalyst, and others. - ZyG, a Tel Aviv, Israel-based operating system designed for scaling ecommerce businesses, raised $58 million in seed funding. Bessemer Venture Partners, Viola Ventures, and Lightspeed Venture Partners led the round and were joined by Disruptive AI, Emerge, Access Industries, Stardom Ventures, and Jibe Ventures. - Cylake, a Sunnyvale, Calif.-based cybersecurity company, raised $45 million in seed funding. Greylock Partners led the round and was joined by others. - Lio, a New York City-based developer of agentic AI technology designed for enterprise procurement, raised $30 million in Series A funding. Andreessen Horowitz led the round and was joined by SV Angel, Harry Stebbings, and Y Combinator. - Validio, a Stockholm, Sweden-based agentic AI data management company, raised $30 million in Series A funding. Plural led the round and was joined by others. - Evervault, a New York City-based platform designed for encrypting and orchestrating sensitive data, raised $25 million in Series B funding. Ribbit Capital led the round and was joined by Index Ventures, Sequoia Capital, Kleiner Perkins, and Operator Partners. - ArmorCode, a Palo Alto, Calif.-based enterprise security risk and governance, raised $16 million in funding. Cheyenne Ventures led the round and was joined by Ballistic Ventures, Highland Capital, Sierra Ventures, NGP Capital, and others. - Cheer Games, a Barcelona, Spain-based mobile puzzle studio, raised $4.5 million in pre-seed funding. Makers Fund led the round and was joined by Play Ventures and angel investors. Private equity. - Ardurra Group, backed by Littlejohn Capital, acquired Remington & Vernick Engineers, a Cherry Hill, N.J.-based engineering consulting firm. Financial terms were not disclosed. - The Visualize Group acquired BMM Testlabs, a Las Vegas, Nev.-based testing, inspection, compliance and certification services company for the regulated global gaming industry. Financial terms were not disclosed. Funds + funds of funds. - Axiom Partners, a San Francisco-based venture capital firm, raised $52 million for their first fund focused on AI companies. People. - Bain Capital Ventures, a Boston, Calif.-based venture capital firm, promoted Alysaa Co to partner and Amanda Huang to principal. By Allie Garfinkle Senior Finance Reporter and author of Term Sheet Latest in Newsletters 21 minutes ago 2 hours ago 3 hours ago 4 hours ago 19 hours ago 21 hours ago