Jobs at Didero

Build and optimize outbound go-to-market systems using AI, automation, data enrichment, and sales technologies. Own pipeline generation through targeted prospecting, personalized outreach, and automated workflows. Run experiments across segments, messaging, and channels; analyze funnel performance; and develop scalable prospecting playbooks. The role partners with sales, marketing, and leadership to improve targeting, conversion, and pipeline quality.

Own the full sales cycle for enterprise SaaS deals, from outbound prospecting and discovery through pilots, legal and infosecurity review, closing, and account expansion. Build self-sourced pipeline, develop CFO-ready ROI cases, manage complex multi-stakeholder evaluations, maintain accurate CRM and forecasts, and sell to senior procurement, supply chain, operations, finance, and IT leaders in manufacturing and distribution.

Build and optimize outbound go-to-market systems that identify and engage high-potential B2B customers. Own pipeline generation through prospecting, personalized outreach, AI-assisted research, data enrichment, and automated workflows. Design GTM experiments, analyze funnel performance, improve conversion and targeting, and create scalable prospecting playbooks in collaboration with sales, marketing, and leadership.

Own the full sales cycle for Didero’s AI-powered supply chain platform, from outbound prospecting and discovery through pilots, legal and security reviews, closing, and account expansion. Build 40–60% self-sourced pipeline, sell complex six-figure ARR SaaS deals, develop CFO-ready ROI cases, manage multi-stakeholder evaluations, maintain accurate CRM and forecasts, and collaborate with founders, product, and engineering. Regular travel is required.

Build and optimize outbound go-to-market systems that identify and engage prospects, generate qualified pipeline, and improve conversion. The role combines prospecting, AI and automation, data analysis, GTM experimentation, CRM and sales technology workflows, and collaboration with sales, marketing, and leadership. The engineer will develop scalable prospecting processes and repeatable growth playbooks for customers in manufacturing, distribution, and supply chain.

Own the full sales cycle for enterprise SaaS deals, including outbound pipeline creation, discovery, pilots, ROI development, stakeholder management, legal and security evaluations, closing, forecasting, and account expansion. Sell AI-powered supplier management solutions to manufacturing and distribution executives, while partnering with founders, product, and engineering teams. The role requires self-sourcing 40–60% of pipeline and regularly closing six-figure ARR deals.

Build backend systems, APIs, integrations, data pipelines, and workflow automations for customer procurement, ERP, finance, and operational workflows. Work directly with customers to clarify requirements, design scalable solutions, debug distributed integrations, and support technical deployments. Partner with Product and Engineering to identify reusable platform patterns while balancing customer-specific needs with long-term product direction.

Build backend services, APIs, data pipelines, integrations, and workflow automations for enterprise customers. Translate complex procurement, ERP, finance, and operational workflows into scalable technical systems. Work directly with customers, clarify requirements, debug distributed integrations, and partner with Product and Engineering to develop reusable platform capabilities. The role requires strong systems thinking, customer communication, and backend engineering expertise.

Build customer-facing backend systems, APIs, integrations, data pipelines, and workflow automations for procurement, ERP, finance, and operational platforms. Translate ambiguous customer processes into scalable technical solutions, debug distributed integrations, support deployments, and collaborate with Product, Engineering, and Customer Success. The role requires strong systems thinking, customer communication, and backend engineering expertise.

Build backend systems, APIs, data pipelines, integrations, and workflow automations for enterprise customers. Translate complex procurement, finance, ERP, and operational workflows into scalable technical solutions; debug distributed integration issues; support customer discovery and deployments; and partner with Product and Engineering to develop reusable platform capabilities. The role requires strong backend engineering, customer communication, systems architecture, and judgment in ambiguous environments.

Build backend services, APIs, integrations, data pipelines, and workflow automations for enterprise customers. Translate procurement, finance, ERP, and operational workflows into scalable technical systems; debug distributed integrations; clarify requirements; and collaborate with Product, Engineering, and Customer Success on deployments and reusable platform capabilities. The hybrid NYC role includes occasional customer onsite work.

Build customer-facing backend systems, APIs, integrations, data pipelines, and workflow automations for procurement, ERP, finance, and operational platforms. Translate ambiguous customer processes into scalable technical solutions, debug distributed integrations, clarify requirements, and support discovery and deployments. Partner with Product, Engineering, and Customer Success to identify reusable platform patterns while balancing customer-specific needs. The role is hybrid in New York City with occasional customer-site visits.

Lead end-to-end customer deployments of AI agents for procurement and supply chain workflows. Map processes, identify automation opportunities, configure and tune agents, coordinate stakeholders, and drive implementations from scoping through adoption and value realization. Advise customers on AI-driven ROI, collaborate with Product and Engineering on roadmap improvements, support renewals and expansion, and develop repeatable deployment playbooks. The role includes customer-facing workshops and on-site work approximately twice monthly.

Lead customer AI agent deployments from scoping through adoption and value realization. Map procurement and supply chain workflows, identify automation opportunities, configure and tune agents, and coordinate implementation stakeholders. Advise customers on ROI, partner with Product and Engineering on roadmap feedback, support renewals and expansion, and create scalable deployment playbooks. The role includes occasional onsite customer workshops and deployment support.

Lead end-to-end customer deployments of AI agents for procurement and supply chain workflows. Map customer processes, identify automation opportunities, configure and tune agents, coordinate stakeholders, and drive implementations from scoping through adoption and value realization. Advise customers on AI-driven ROI, collaborate with Product and Engineering on platform improvements, support renewals and expansion, and develop repeatable implementation playbooks.

Lead end-to-end customer deployments of AI agents for procurement and supply chain workflows. Map processes, identify automation opportunities, configure and tune agents, coordinate stakeholders, and drive implementations from kickoff through adoption and value realization. Advise customers on ROI, collaborate with Product and Engineering on platform improvements, support renewals and expansion, and build repeatable deployment playbooks.

Lead end-to-end customer deployments of AI agents for procurement and supply chain workflows. Responsibilities include mapping processes, designing implementation plans, configuring and tuning agents, coordinating stakeholders, driving adoption and ROI, creating deployment playbooks, and partnering with Product, Engineering, and Sales to improve the platform and support expansion.

Lead end-to-end customer deployments of AI agents for procurement and supply chain workflows. Map processes, configure and tune agents, coordinate stakeholders, guide onboarding through adoption, and demonstrate ROI. Partner with Product, Engineering, and Sales to improve the platform, support renewals and expansion, and develop repeatable implementation playbooks. The role requires strong project management, technical aptitude, customer communication, and the ability to solve ambiguous operational problems.

Own Didero’s B2B content program, including strategy, editorial planning, webinars, case studies, newsletters, presentations, social media, and PR support. Interview customers, founders, engineers, and deployment teams to create content that drives meetings, MQLs, and pipeline. Measure performance, collaborate with sales and marketing, and develop a 2027 content plan. This hands-on contract role requires strong writing, customer storytelling, executive ghostwriting, and content experience in B2B SaaS or AI startups.

Own customer deployments of AI agents for procurement and supply chain workflows. Map processes, design implementation plans, configure and tune agents, lead onboarding through adoption, advise stakeholders on automation ROI, and partner with Product, Engineering, and Sales on roadmap, renewals, and expansion.