Paperless Parts, Inc.

HQ
Boston
120 Total Employees
Year Founded: 2017

Jobs at Paperless Parts, Inc.

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5 Days AgoSaved
Hybrid
Boston, MA, USA
Aerospace • Cloud • Fintech • Software • Manufacturing
Lead enterprise SaaS implementations for manufacturing customers, managing timelines, budgets, scope, risks, resources, executive stakeholders, training, workshops, and change management. Translate business requirements into platform configurations, resolve issues, support adoption, and improve deployment workflows. The role requires Boston-based hybrid work, customer-site travel, and US citizenship or permanent residency due to export-control requirements.
16 Days AgoSaved
Hybrid
Boston, MA, USA
Aerospace • Cloud • Fintech • Software • Manufacturing
Lead product design across workflows, prototype from mockups to front-end code, collaborate with product and engineering, design AI/data-driven features, conduct user discovery with manufacturers, and create marketing visuals and assets.
One Month AgoSaved
Hybrid
Boston, MA, USA
Aerospace • Cloud • Fintech • Software • Manufacturing
The Business Development Representative will engage in outbound sales, manage leads using Salesforce, and support marketing efforts while fostering DEI initiatives.
One Month AgoSaved
Hybrid
Boston, MA, USA
Aerospace • Cloud • Fintech • Software • Manufacturing
Own a book of strategic B2B SaaS customers to drive product adoption, retention, renewals, and expansion. Act as trusted advisor to executives, manage escalations, forecast renewal/expansion outcomes, identify growth opportunities, and collaborate across Sales, Product, and Support to improve customer ROI and outcomes.
One Month AgoSaved
Hybrid
Boston, MA, USA
Aerospace • Cloud • Fintech • Software • Manufacturing
Build and maintain full-stack features across Python backends and React frontends, design secure APIs, apply AI tools across the SDLC, mentor engineers, improve testing/observability, and collaborate with product and design to deliver scalable, production-ready systems.
Aerospace • Cloud • Fintech • Software • Manufacturing
Lead a small ML engineering pod to turn research into production: design and operationalize training pipelines and low-latency inference services for computer vision, document intelligence, and predictive models. Drive R&D execution, benchmarking, prototyping, migrations from frontier models to fine-tuned/open-source solutions, and mentor early-career engineers while aligning research with product timelines.