Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We’re changing that.
At our Detroit headquarters, we combine the industrial DNA of America’s manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don’t just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration.
Backed by top-tier investors, we’re restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy.
We are seeking a detail-oriented and technically savvy Injection Molding Cost Estimator to support quoting, pricing strategy, and business development. This role bridges engineering, tooling, and operations—turning customer RFQs into clear, competitive, and accurate proposals.
You’ll analyze part geometry, material specs, mold complexity, and production volumes to model cost scenarios and recommend pricing strategies aligned with Atomic’s margin goals and value proposition.
Review and analyze RFQs, part files, prints, and customer requirements
Estimate complete part cost: material, cycle time, labor, machine time, overhead, and secondary ops
Quote mold/tooling costs using internal templates and inputs from tooling team
Identify and model different pricing strategies: full tool cost, subsidized tooling, or tooling at cost
Work with Sales and Engineering to create compelling proposals and timelines
Track historical data and build cost models that improve over time
Assist in evaluating “free tool” models based on volume and piece price tradeoffs
Collaborate with the software team to help automate cost modeling and quoting workflows
Support profitability analysis and pricing revisions as part of commercial negotiations
3+ years of cost estimating experience in injection molding, tool & die, or manufacturing
Strong understanding of manufacturing cost structures: material, machine rates, overhead, labor
Familiar with part costing software (e.g., Excel models, aPriori, ProEst, or similar tools)
Able to read 2D prints and interpret 3D CAD models
Excellent Excel/Sheets skills; experience with quoting databases and CRM tools a plus
Bonus: Exposure to mold design, tooling build, or engineering change quoting
Bonus: Experience pricing in automotive, consumer goods, or medical molding industries
Competitive pay, benefits, and equity opportunity
Direct input into quoting workflows that connect engineering and sales
A front-row seat in building smarter, faster quoting systems through software and data
Ability to influence customer relationships and drive strategic decisions
Analyze commercial deals and contractual pricing by building financial models, evaluating margins and risks, monitoring contract adherence, maintaining pricing data, and improving deal desk processes.
Desenvolve estratégias e modelos de pricing e revenue management, analisa desempenho e rentabilidade e transforma dados em recomendações para apoiar decisões comerciais e aumentar a receita.
Analisa e atualiza tarifas de seguros de Vida, desenvolvendo bases e estudos de precificação, validando cenários e ajustando regras e sistemas para apoiar decisões de negócio e garantir cálculos confiáveis.
Own pricing analyses across transactional and SaaS businesses, identify opportunities to improve revenue and profitability, and turn findings into recommendations that teams can implement and measure.
Own deal review and pricing decisions across EMEA and APAC, partnering with sellers to structure complex agreements, protect deal economics, and improve pricing guidelines and deal processes.
