F

Forgepoint

AI inside sales platform for manufacturers

Forward Deployed Engineer

Full-TimePosted on 10/15/2026
$175k - $215k
Mid
New York, NY, USA
In PersonIn-person in the NYC office five days a week; travel to customer sites across the US.
Software EngineeringAI Application Engineering

About the job

Requirements
  • You have 4+ years of experience in software engineering or a client-facing technical role such as forward deployed engineering, solutions engineering, or implementation consulting.
  • You are technically strong and comfortable writing code, prompting large language models, building evaluations, and learning new agent-engineering techniques.
  • You can scope ambiguous requirements, prioritize aggressively, and design a simple solution within real product and operational constraints.
  • You can run customer workshops, present with confidence, and build trust from the shop floor to the executive team.
  • You can manage multiple deployments, track details, use metrics, and close every loop.
  • You learn complex domains quickly and combine customer empathy with a product mindset, turning field insights into better tools and experiences.
  • You are excited to work in person five days a week in New York City and travel to customer sites across the United States.
Responsibilities
  • Lead agent deployments from discovery and requirements scoping through configuration, go-live, quantified return on investment, and ongoing improvement.
  • Map complex customer workflows and turn them into focused requirements, standard operating procedures, prompts, tools, guardrails, approvals, and handoffs.
  • Build evaluations and test cases that measure agent quality, expose failure modes, and guide iteration.
  • Configure and launch agents, monitor their real-world performance, investigate failures, and improve reliability over time.
  • Run customer workshops, communicate tradeoffs clearly, and close every dependency and follow-up needed to keep deployments moving.
  • Learn complex customer domains and advocate for customer needs with product and engineering.
  • Turn repeated deployment problems into reusable patterns, tooling, and product improvements that make future launches faster.
Desired Qualifications
  • Experience building and operating agentic systems in production.
  • Experience in manufacturing or another industrial or operationally complex setting.
  • Experience creating standard operating procedures or leading change-management work.
  • Experience integrating and deploying third-party application programming interfaces or legacy systems.

About the company

Forgepoint builds an AI inside sales rep platform for manufacturers. Its AI coworker, Frank, joins a manufacturer's workflow to automate back-office tasks starting with quoting and sales. How it works: Frank acknowledges new RFQs around the clock, analyzes part files, gathers missing requirements, prepares accurate pricing using each shop's cost model, surfaces historical jobs, routes engineering work for human review, creates final quote documents, and manages customer follow-ups. It serves manufacturing segments including injection molding, steel mills, metal foundries, service centers, fabricators and stampers, coating and heat treat, CNC machining, forging and fasteners. The company aims to help manufacturers win more business and scale operations by reducing manual work and speeding up the quote-to-cash process.

Company Size

1-10

Company Stage

Seed

Total Funding

$9.8M

Headquarters

N/A

Founded

2025

Get referred to Forgepoint

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • Forgepoint led Discern Security’s $13M Series A in August 2026.
  • Forgepoint co-led Multiverse Computing’s €500M Series C in July 2026.
  • DataBahn raised $40M Series B with Forgepoint participation in July 2026.

What critics are saying

  • Forgepoint warned of job-scam impersonation in September 2026, damaging candidate trust.
  • Cybersecurity investing stays crowded; Insight Partners and BNP Paribas already compete on Forgepoint deals.
  • If AI security exits slow through 2027, Forgepoint's specialist brand loses fundraising power.

What makes Forgepoint unique

  • Forgepoint Capital specializes in cybersecurity, AI, and infrastructure software, not generalist venture.
  • Its 2026 Executive Dinner and Black Hat events give proprietary CISO access.
  • Global Advisory Council additions like Einar Oftedal, Jilbert Washten, and Cecil Perez deepen sourcing.

Help us improve and share your feedback! Did you find this helpful?

Benefits

  • Health Insurance
  • Company Equity
  • Meal Benefits

Company News

GlobeNewswire
Oct 14th, 2026
Forgepoint raises $9.8M to help manufacturers quote faster and win more business.

Forgepoint raises $9.8M to help manufacturers quote faster and win more business. Forgepoint's AI Inside Sales Rep Frank helps manufacturers manage the entire RFQ-to-PO process using each shop's pricing rules and approval processes. October 14, 2026 09:00 ET | Source: Forgepoint New York, NY, Oct. 14, 2026 (GLOBE NEWSWIRE) - American manufacturers can often make a part faster than they can get a quote back to the customer asking for it. That mismatch is the result of decades of automation reaching the shop floor, but rarely the office around it. Forgepoint is tackling that with Frank, an AI Inside Sales Rep built for manufacturing. Frank works alongside quoting teams across the emails, documents, pricing logic, and systems they already use, helping them move from incoming request to customer-ready quote far faster. Forgepoint founders: Jack Strauss and Alex Pareto. Forgepoint today announced a $9.8 million seed round led by Primary Venture Partners and a16z speedrun, with angel investors from OpenAI, Brex, Vercel, and SoFi also participating. The funding will bring Frank to more manufacturers, deepen integrations with the systems they already use, and grow its world-class team. Frank analyzes part files, prepares pricing using each manufacturer's own cost model, routes engineering work for human review, and follows up with the customer after approval. Engineers, estimators, and salespeople keep the technical and commercial decision making, while Frank handles the administrative work between them. Forgepoint reached a seven-figure ARR within six months of Frank's launch. Hundreds of engineers, estimators, and sales reps now use Frank each week, and across customers monthly quote throughput is up an average of 30% while time-to-quote has fallen by more than 55%. From Silicon Valley to the American Heartland Before Forgepoint, CEO Jack Strauss spent his career in industrials at Northrop Grumman, Bain & Company's Advanced Manufacturing practice, and aerospace systems integrator Xwing. He kept seeing the same disconnect: manufacturers invested heavily in automating the shop floor, while everything before and after production still moved through email, spreadsheets, and aging enterprise systems. In early 2025, Strauss and co-founder Alex Pareto, formerly Head of Engineering for Brex's Spend Management organization, spent months touring plants across the Midwest, shadowing employees and studying their processes to find where the bottlenecks were and why. "In those early days, we simply wanted to learn, as if we had been hired to do the job ourselves. We knew that before we could solve the problem, we needed to understand it deeply" said Alex Pareto, Co-Founder and CTO. The two came away convinced that the frontier AI developing in front of them in Silicon Valley could remove many of the bottlenecks they were seeing on factory floors across the Midwest. Starting with Inside Sales Inside Sales was the natural starting point. It is directly tied to revenue: a shop's capacity to answer RFQs determines how much business it wins. Second, when it comes to winning jobs, speed matters now more than ever. A 2025 Gardner Intelligence study found that nearly 50% of manufacturers expect a vendor response within 24 hours. That is a hard target when the typical RFQ arrives as an email with several attachments and missing specifications. An estimator may need to contact the customer, find similar jobs, build a cost model, secure engineering approval, apply margins, enter pricing into the ERP, generate the quote, update the CRM, and manage follow-up. Expert judgment is critical for a few of those steps. The handoffs and data entry around them stretch the process from hours into days or weeks. "We kept meeting manufacturers with strong demand and capable teams, but their best people were spending hours on administrative work. Speed is a competitive advantage, so we built Frank to keep jobs moving and free skilled operators to focus on the decisions only they can make," said Jack Strauss, CEO and Co-Founder of Forgepoint. How Frank works Frank joins a manufacturer like a new employee. He gets an email address at the company's domain and learns the shop's operating procedures, pricing rules, and approval requirements. When an RFQ arrives, he reads the email and attachments, flags missing requirements, and contacts the buyer for clarification. He prepares the quote using the manufacturer's own cost model, surfaces similar historical jobs, and routes the draft to the right reviewer. After approval, he creates the final document in the company's template, sends it, manages follow-up, and records the correspondence. Because quoting and pricing look radically different from shop to shop, Forgepoint configures Frank around how each one already works. At a metal service center Frank matches material lists and cut lengths against the catalog, applies customer-specific pricing, and checks inventory. At a foundry he reviews part files, gathers missing drawing specifications from the buyer, and prepares a first draft for an engineer. Across injection molding, automation, fabrication, stamping, and machining, the day-to-day differs but the goal is the same: quote faster, quote more, and win more deals. Early customer results On average, Forgepoint customers increase monthly quote throughput by 30% and cut time-to-quote by more than 55%, giving skilled operators more time back in their day."Before Forgepoint, we were building quotes by hand and barely keeping up. Now, Frank drafts and I can approve it in two minutes. I'm spending less time entering data and more time serving my customers," said Chas Aday, Founder and CRO of SIP Manufacturing. As Frank works, it also preserves the emails, attachments and reasoning behind every decision, building a memory of how each shop prices work. That matters as veteran employees retire and manufacturers risk losing years of pricing logic, customer preferences and exceptions that live in their heads and inboxes. "A manufacturer's ability to grow depends on how much work its team can quote, plan, and manage," said Zach Fredericks, Principal at Primary Venture Partners. "Forgepoint is giving those teams more capacity, starting with quoting. We backed Jack and Alex because they understand the details of that work and have a clear ambition to bring the same approach across the entire manufacturing back office." Looking ahead Forgepoint's mission is to put best-in-class technology into the hands of manufacturers. That begins with quoting, where slow responses can mean lost business. Over time, the company plans to apply the same approach to other back office departments, helping manufacturers compete and grow without adding administrative headcount at the same rate. About Forgepoint Forgepoint builds AI coworkers designed to automate and streamline back-office workflows for manufacturers, starting with the quoting and sales process Forgepoint's flagship product is Frank, an AI Inside Sales Rep for manufacturers, that gathers requirements, builds accurate quotes, and responds before your competitors even open the RFQ.

PETage
Oct 14th, 2026
AI Sales Rep startup Forgepoint raises $9.8M to help manufacturers quote faster.

AI Sales Rep startup Forgepoint raises $9.8M to help manufacturers quote faster. Pet Age Staff//October 14, 2026// American manufacturers can often make a part faster than they can get a quote back to the customer asking for it. That mismatch is the result of decades of automation reaching the shop floor, but rarely the office around it. Forgepoint is tackling that with Frank, an AI Inside Sales Rep built for manufacturing. Frank works alongside quoting teams across the emails, documents, pricing logic, and systems they already use, helping them move from incoming request to customer-ready quote far faster. Forgepoint recently announced a $9.8 million seed round led by Primary Venture Partners and a16z speedrun, with angel investors from OpenAI, Brex, Vercel, and SoFi also participating. The funding will bring Frank to more manufacturers, deepen integrations with the systems they already use, and grow its world-class team. Frank analyzes part files, prepares pricing using each manufacturer's own cost model, routes engineering work for human review, and follows up with the customer after approval. Engineers, estimators, and salespeople keep the technical and commercial decision making, while Frank handles the administrative work between them. Forgepoint reached a seven-figure ARR within six months of Frank's launch. Hundreds of engineers, estimators, and sales reps now use Frank each week, and across customers monthly quote throughput is up an average of 30% while time-to-quote has fallen by more than 55%. From Silicon Valley to the American Heartland Before Forgepoint, CEO Jack Strauss spent his career in industrials at Northrop Grumman, Bain & Company's Advanced Manufacturing practice, and aerospace systems integrator Xwing. He kept seeing the same disconnect: manufacturers invested heavily in automating the shop floor, while everything before and after production still moved through email, spreadsheets, and aging enterprise systems. In early 2025, Strauss and co-founder Alex Pareto, formerly Head of Engineering for Brex's Spend Management organization, spent months touring plants across the Midwest, shadowing employees and studying their processes to find where the bottlenecks were and why. "In those early days, we simply wanted to learn, as if we had been hired to do the job ourselves. We knew that before we could solve the problem, we needed to understand it deeply" said Alex Pareto, Co-Founder and CTO. The two came away convinced that the frontier AI developing in front of them in Silicon Valley could remove many of the bottlenecks they were seeing on factory floors across the Midwest. Starting with Inside Sales Inside Sales was the natural starting point. It is directly tied to revenue: a shop's capacity to answer RFQs determines how much business it wins. Second, when it comes to winning jobs, speed matters now more than ever. A 2025 Gardner Intelligence study found that nearly 50% of manufacturers expect a vendor response within 24 hours. That is a hard target when the typical RFQ arrives as an email with several attachments and missing specifications. An estimator may need to contact the customer, find similar jobs, build a cost model, secure engineering approval, apply margins, enter pricing into the ERP, generate the quote, update the CRM, and manage follow-up. Expert judgment is critical for a few of those steps. The handoffs and data entry around them stretch the process from hours into days or weeks. "We kept meeting manufacturers with strong demand and capable teams, but their best people were spending hours on administrative work. Speed is a competitive advantage, so we built Frank to keep jobs moving and free skilled operators to focus on the decisions only they can make," said Jack Strauss, CEO and Co-Founder of Forgepoint. How Frank works Frank joins a manufacturer like a new employee. He gets an email address at the company's domain and learns the shop's operating procedures, pricing rules, and approval requirements. When an RFQ arrives, he reads the email and attachments, flags missing requirements, and contacts the buyer for clarification. He prepares the quote using the manufacturer's own cost model, surfaces similar historical jobs, and routes the draft to the right reviewer. After approval, he creates the final document in the company's template, sends it, manages follow-up, and records the correspondence. Because quoting and pricing look radically different from shop to shop, Forgepoint configures Frank around how each one already works. At a metal service center Frank matches material lists and cut lengths against the catalog, applies customer-specific pricing, and checks inventory. At a foundry he reviews part files, gathers missing drawing specifications from the buyer, and prepares a first draft for an engineer. Across injection molding, automation, fabrication, stamping, and machining, the day-to-day differs but the goal is the same: quote faster, quote more, and win more deals. Early customer results On average, Forgepoint customers increase monthly quote throughput by 30% and cut time-to-quote by more than 55%, giving skilled operators more time back in their day."Before Forgepoint, we were building quotes by hand and barely keeping up. Now, Frank drafts and I can approve it in two minutes. I'm spending less time entering data and more time serving my customers," said Chas Aday, Founder and CRO of SIP Manufacturing. As Frank works, it also preserves the emails, attachments and reasoning behind every decision, building a memory of how each shop prices work. That matters as veteran employees retire and manufacturers risk losing years of pricing logic, customer preferences and exceptions that live in their heads and inboxes. "A manufacturer's ability to grow depends on how much work its team can quote, plan, and manage," said Zach Fredericks, Principal at Primary Venture Partners. "Forgepoint is giving those teams more capacity, starting with quoting. We backed Jack and Alex because they understand the details of that work and have a clear ambition to bring the same approach across the entire manufacturing back office."

SiliconANGLE Media
Oct 14th, 2026
Forgepoint raises $9.8M to automate custom price quotes for manufacturing firms.

Forgepoint raises $9.8M to automate custom price quotes for manufacturing firms. One of President Donald Trump's main priorities is to revive America's manufacturing industry in order to reduce its reliance on foreign imports and create more jobs, and a startup called Forgepoint Inc. shares the same goal after raising $9.8 million in seed funding today. The round was co-led by Primary Venture Partners and a16z Speedrun, the startup accelerator run by Andreessen Horowitz. Angel investors from companies including OpenAI Group PBC, Brex LLC., Vercel Inc. and Social Finance LLC also participated in the round. Forgepoint is the creator of an artificial intelligence agent that acts as an "inside sales rep," helping manufacturers to automate the entire request for quotation or RFQ process so that manufacturers can quickly win contracts and get to work for their customers. The agent, named Frank, taps into the manufacturer's existing software systems and pricing structures in order to understand what the customer wants, and then come up with a suitable price quote. Forgepoint co-founder and Chief Executive Jack Strauss (pictured) told SiliconANGLE that he's trying to solve a glaring mismatch in modern industry, where the reality is that manufacturers can often create a very specific part faster than they can respond to their customer's initial inquiry. He saw this personally while working for Northrop Grumman Corp, Bain & Co.'s Advanced Manufacturing practice and, later, at the autonomous aircraft manufacturer Xwing. At all three firms, he saw heavy investment in manufacturing automation, but a refusal to move on from their sluggish back-office systems that relied heavily on email, spreadsheets and aging business software. Most manufacturers are far too slow to respond to their customer's inquiries. Although some might consider it part and parcel of the process when ordering expensive, customized parts, they can still be punished if they move too slowly. By failing to provide a timely price quote, or at least respond to the customer's initial message, they can easily put them off. A 2025 study by Gardner Intelligence made that explicitly clear, finding that more than 50% of manufacturing firms expect a vendor to respond to an inquiry within 24 hours. Moreover, Forgepoint's own research shows that 78% of companies end up buying from the first supplier that responds to their request. Speed is of the essence, but slow RFQs continue to dog the manufacturing industry. Strauss wanted to understand why that is, so he and his co-founder Alex Pareto spent months touring various American Midwest manufacturing plants in early 2025, studying their business processes and shadowing employees. At the end of their tour, they concluded that artificial intelligence was the ideal tonic to the administrative issues that bog down the RFQ process. That tonic is now available in the shape of Frank, an autonomous AI sales representative that's designed to operate in the same way as a human in that position would. Like each person who joins a new company, Frank is given its own corporate email address and taught the specific operating procedures, pricing rules and approval requirements for each shop floor. Armed with this knowledge, Frank can spring into action the moment an FRQ arrives. It works by analyzing the request, reading through the attached files, then calculates what the cost should be based on the company's own cost models. "We kept meeting manufacturers with strong demand and capable teams, but their best people were spending hours on administrative work," Strauss said. "Speed is a competitive advantage, so we built Frank to keep jobs moving and free skilled operators to focus on the decisions only they can make." Frank goes further too. In many inquiries, customers tend to leave out specific important details, such as the exact specifications for a particular item that can impact the price. If Frank spots something like that, it will immediately send a follow-up email asking for clarification. If necessary, it can also send a highly technical request to human engineers for their input before coming up with the final quote. This flexibility has enabled Frank to transform the bottom line of early adopters. Customers report an average increase in monthly quote throughput of 30%, while the average time it takes to actually come up with a quote has dropped by 55%. Like many other AI startups that begin in one area and then expand their tentacles into related fields, Forgepoint has much bigger ambitions. With the funding from today's round, it will not only strive to bring Frank to more shop floors, but also look at other ways AI can be used to scale up manufacturing operations. Primary Venture Partners Principal Zach Fredericks said he's backing Forgepoint because the ability to quote, plan and manage work is just as important as actual manufacturing capacity. "Forgepoint is giving those teams more capacity, starting with quoting," he said. "We backed Jack and Alex because they understand the details of that work and have a clear ambition to bring the same approach across the entire manufacturing back office." Images: Forgepoint. A message from John Furrier, co-founder of SiliconANGLE: Support its mission to keep content open and free by engaging with theCUBE community. Join theCUBE's Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities. * 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more * 11.4k+ theCUBE alumni - Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network Are you an AWS customer? Support SiliconANGLE financially by buying your AWS services from its Marketplace portal page and links: https://siliconangle.com/aws-marketplace/. About SiliconANGLE Media. SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE, theCUBE Network, theCUBE Research, CUBE365, theCUBE AI and theCUBE SuperStudios - with flagship locations in Silicon Valley and the New York Stock Exchange - SiliconANGLE Media operates at the intersection of media, technology and AI. 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Axios
Oct 14th, 2026
Forgepoint raises $9.8M seed led by Primary and a16z speedrun for manufacturing AI agents

Forgepoint, a startup building AI agents for manufacturing, has raised $9.8 million in seed funding. Primary and a16z speedrun led the round, according to the article's headline. Chief executive officer Jack Strauss shared the news exclusively with Axios. Investment in manufacturing technology is rising as AI startups automate labour-intensive production.