Full-Time

Forward Deployed Engineer

Enterprise

Maneva

Maneva

51-200 employees

AI-driven digital workforce for manufacturing operations

No salary listed

Kennett, MO, USA

In Person

Must travel 50%+ of time to manufacturing customer sites in the US South and South-Central.

Category
Software Engineering
Required Skills
Microsoft Azure
Python
React.js
Git
SAP Products
Docker
AWS
Next.js
REST APIs
DevOps
Oracle
Computer Vision
Linux/Unix
Google Cloud Platform

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Requirements
  • 4+ years of production software engineering experience — you have shipped systems to customer or production infrastructure, not just internal tools
  • Full-stack web development fluency — you have built and deployed production web applications end-to-end
  • Demonstrated customer-facing engineering experience: you have owned a technical engagement with an external customer, not just delivered a pre-scoped task
  • Fluency in production software practices: Linux, Docker, Git, CI/CD in real deployments; you own your stack through go-live
  • Enterprise systems integration experience: you have integrated software systems across organizational boundaries — APIs, cloud platforms, ERP, or data pipelines — in a production context
  • Enough manufacturing or industrial environment exposure to hold a credible floor conversation
  • Eligible to work in the United States
  • Comfort with 50%+ regional travel to manufacturing customer sites in the US South and South-Central
Responsibilities
  • Run technical discovery workshops with manufacturing customers independently — floor walks, process mapping, inspection point identification, constraint documentation
  • Translate floor observations into structured ROI analyses and architecture recommendations for both technical and non-technical stakeholders
  • Scope and own the integration project from kickoff through production go-live and long-term support handoff
  • Write runbooks, train customer teams, define monitoring thresholds and retraining triggers as part of every handoff
  • Design and implement integrations between Maneva's edge AI platform and customer IT/OT infrastructure — APIs, ERP systems (SAP, Oracle), cloud platforms (AWS, Azure, GCP), and data pipelines
  • Architect solutions that bridge the OT/IT boundary: edge compute, industrial networking, cloud connectivity, and data flow from line to enterprise systems
  • Build and deploy full-stack web applications as part of customer deployments — operational dashboards, monitoring interfaces, configuration tooling — using modern frameworks (React, Next.js, or equivalent); own front-end and back-end
  • Own the full software stack at the customer site — inference pipeline, data ingestion, integration layer, web interface, monitoring
  • Build customer-specific integration code in Python that is production-grade, documented, and maintainable without you in the room
  • Deploy Maneva's computer vision models on edge hardware (NVIDIA Jetson, industrial PCs) at customer sites
  • Participate in camera and lighting specification; work with the solutions team on optical integration decisions
  • Commission and validate vision systems on the factory floor under real production conditions
  • Monitor deployed systems, define drift thresholds, and manage retraining cycles
  • Hold productive technical conversations with customer automation teams on PLC architecture, OPC-UA tag structures, and industrial network constraints — without needing an OT specialist in the room
  • Bridge the IT/OT gap for the customer: help their automation team understand what Maneva needs from the OT layer, and help their IT team understand what the floor environment requires
  • You do not need to write ladder logic. You do need to understand why the PLC scan cycle matters and what questions to ask
Desired Qualifications
  • Experience deploying ML inference on edge hardware (Jetson, industrial PC)
  • Hands-on involvement in industrial vision system integration — camera selection, lighting, on-site commissioning
  • OPC-UA, Modbus TCP, or SCADA integration experience
  • ERP integration at the application layer (SAP, Oracle Manufacturing Cloud)
  • Cloud IoT or MLOps experience (AWS IoT Greengrass, Azure IoT Hub, SageMaker, or equivalent)
  • Prior FDE, solutions engineer, or field application engineer experience in a manufacturing or industrial context
  • Experience at an industrial AI, machine vision, or IIoT company

Maneva AI provides an AI-driven digital workforce for the manufacturing sector. It offers a software-as-a-service platform that automates a range of factory tasks, including those traditionally too complex for standard automation, with the aim of reducing manual labor, improving quality assurance, and minimizing operational downtime. The system integrates into existing workflows to streamline factory operations, lower costs, and boost productivity for manufacturers in the United States. Its differentiators include targeting manufacturing-specific challenges, focusing on rapid integration and clear return-on-investment, and delivering an AI-based solution that handles higher-complexity tasks beyond basic automation. The company’s goal is to help manufacturers reduce labor dependency, optimize processes, and achieve meaningful cost savings and productivity gains through industrial AI.

Company Size

51-200

Company Stage

Series A

Total Funding

$27M

Headquarters

Toronto, Canada

Founded

2021

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Simplify Jobs

Simplify's Take

What believers are saying

  • $27M Series A funding led by U.S. Venture Partners enables expansion into Asian markets and agentic AI development.
  • Clients report a 10% total output increase through anonymized productivity monitoring, positioning Maneva as a high-ROI efficiency tool.
  • Hardware-agnostic design lowers adoption barriers for manufacturers in steel, pharmaceuticals, and meat processing sectors.

What critics are saying

  • Google DeepMind's proprietary video-to-action AI team, led by former co-founder Rae Jeong, could replicate Maneva's technology and undercut pricing within 12–18 months.
  • Amazon's algorithmic worker monitoring system, already deployed in 1,500+ warehouses, is expanding into factory floors to compete directly with Maneva.
  • Maneva's use of anonymized camera feeds for productivity monitoring creates an 85–95% risk of GDPR/CCPA litigation in Q3 2026 due to unconsented biometric data collection.

What makes Maneva unique

  • Maneva's VITA and ALIS agents run on NVIDIA edge devices for real-time defect detection without cloud dependency.
  • The platform integrates with existing industrial or security cameras, reducing upfront capital costs for manufacturers.
  • Founded by ex-DeepMind engineer Rae Jeong and ex-Magna engineer Kelvin Chan, combining deep AI research with manufacturing experience.

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Benefits

Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

-10%

1 year growth

1%

2 year growth

-7%
SaasRise
Jun 15th, 2026
This Week in SaaS June 9 - 15, 2026.

This Week in SaaS June 9 - 15, 2026. The top M&A deals, venture deals, news, and blog posts of the week Ryan Allis June 15, 2026 Equity growth partnership. If your SaaS company has between $2M and $50M in ARR, apply to be its next success story. SaasRise take an equity position in your firm and then deploy its B2B SaaS Growth System (ABM + ads + outbound) to scale up customer acquisition. So far SaasRise has had success working with clients including Convoso, Clearstream, Tatango, Instantly, RETR, RXNT, RNL, Resimpli, Sojern, and many more. Learn more here. New blog posts. Big SaaS VC rounds. * NinjaOne (IT operations and endpoint management platform; SaaS) - raised a $400M+ Series C extension at a $12.3B valuation on June 9, 2026, with participation from Wellington Management, Sequoia Capital, ICONIQ and CapitalG; the founder-led, debt-free Austin company, which grew revenue ~70% in 2025 and posted a Q1 profit, will use the funds to expand its unified IT operations platform serving ~40,000 organizations. * TensorWave (AMD-based AI cloud infrastructure for training and inference; SaaS) - raised a $350M Series B at a $1.55B valuation on June 10, 2026, co-led by Magnetar and AMD Ventures; funds will expand its global AMD Instinct MI355X GPU cloud capacity for LLM training and high-throughput inference. * Genspark (MainFunc) (agentic AI tools for the workplace; SaaS) - raised a $100M Series B extension at a $2.6B post-money valuation on June 11, 2026 (up 63% in three months), with return investors Sozo Ventures, UpHonest Capital and Mirae Asset; funds will accelerate its agentic AI productivity tools, now used by 6,000+ business customers. * Poetic (enterprise AI process automation; SaaS) - raised a $50M Series A at a $500M valuation on June 10, 2026, led by Kleiner Perkins (with Founders Fund, First Harmonic and OpenAI); funds will scale its forward-deployed team and bring its automation platform - which pairs AI with deterministic code execution - to more enterprises in healthcare, banking and insurance. * Turnout (AI-powered consumer advocacy; SaaS) - raised a $35M Series A at a $400M valuation on June 11, 2026, led by HighPost Capital; funds will expand its AI agent "Jake" and scale human advocacy into new healthcare and education verticals nationwide. * Maneva (video-to-action AI for manufacturing; SaaS) - raised a $27M Series A on June 10, 2026, led by U.S. Venture Partners (with Bling Capital and Freestyle Capital); funds will deepen its VITA and ALIS agents and expand factory-orchestration features into new geographies and industries. * Jedify (context-graph platform for enterprise AI agents; SaaS) - raised a $24M Series A on June 10, 2026, led by Norwest with strategic investment from Snowflake Ventures; funds will accelerate its autonomous context-graph infrastructure that grounds enterprise AI agents and reduces hallucinations. * Mendo (enterprise generative-AI adoption platform; SaaS) - raised a €12M (~$13.8M) Series A on June 11, 2026, led by Ventech and Educapital; funds will strengthen its AI-usage analytics layer and double headcount to 100 as it scales enterprise AI adoption across Europe. * Billables AI (AI operational-intelligence platform for law firms; SaaS) - raised a $10.2M Series A on June 9, 2026, led by Avenue Growth Partners (with Wing VC, SignalFire and Alumni Ventures); funds will accelerate R&D, expand go-to-market and deepen its legal-tech partner ecosystem. * SWARM Engineering (decision-intelligence AI for agrifood and manufacturing; SaaS) - raised a $10M Series A on June 10, 2026, co-led by S2G Investments and AgRogue Growth Partners (with Radicle Growth and Grit Road Partners); funds will scale its domain-trained AI agents across supply chain, workforce and logistics decisions. SaaS M&A deals. * OpenAI agreed to acquire Ona, formerly Gitpod (terms undisclosed; secure cloud execution environments for AI coding agents, SaaS, Germany) - announced on June 11, 2026; this acquisition brings persistent, secure server-side environments into OpenAI's Codex ecosystem, letting agents keep working on long-running tasks (codebase modernization, vulnerability patching) after a developer closes their laptop. * Blockworks completed the acquisition of Messari (~$10M; crypto data and market-intelligence software, SaaS, U.S.) - announced on June 12, 2026; this deal combines two of the largest crypto data platforms - Messari covers 40,000+ assets via a broad API - and is the first acquisition following Blockworks' Series A extension, which was raised specifically to consolidate the fragmented crypto data market. Key takeaways. * The $100M round is now ordinary - recalibrate late-stage expectations. Crunchbase data shows a nine-figure raise is no longer remarkable or even atypical at late stage; founders benchmarking valuations and round sizes should reset their reference points accordingly. * Watch where exit liquidity actually flows. As mega-cap private companies head toward the public markets, they become some of the best-capitalized acquirers on the planet - reshaping the M&A landscape startups will eventually sell into. Map your potential acquirers before banking on an exit. * AI budget is becoming the only growth budget that matters. Enterprise LLM budgets are expected to grow ~75% over the coming year while "innovation fund" allocations shrink to ~7% of LLM spend; SaaS sellers should position into core AI line items rather than discretionary experimentation budgets. * Rethink packaging as pricing turns consumption- and outcome-based. 2026 pricing trends show vendors moving away from fixed per-seat models toward AI-powered editions, restructured tiers and consumption-based pricing - largely to fund variable AI costs. Founders should revisit packaging and expansion motions now. Community news. See you next week with the next edition ofThis Week in SaaS. -Ryan Allis, CEO of SaasRise