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Proton.ai

AI-driven sales optimization via data analytics

Implementation Manager

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeCambridge, MA, USA

About the Job

Requirements

  • At least 2 years of experience in implementation, technical project delivery, professional services, or a comparable role, with demonstrated ownership of customer outcomes.
  • Ability to work productively with application programming interfaces, integrations, data models, source systems, and configuration; identify risks and engage with customer technical teams and senior engineers.
  • Ability to translate ambiguous customer needs into an implementable plan, distinguish requirements from nice-to-haves, surface constraints, and protect the path to value.
  • Ability to build and run project plans, coordinate dependencies, make decisions visible, and move multiple workstreams forward while attending to detail.
  • Comfort working directly with warehouse operations teams and leading meetings with senior stakeholders.
  • Ability to explain technical tradeoffs in plain language, earn trust, and keep customers and internal teams aligned.
  • Regular use of artificial intelligence tools to accelerate planning, analysis, documentation, and coordination, including providing context, evaluating outputs, and correcting mistakes.
  • Ability to use project and customer data to set priorities and adapt as details change.
  • Ability to identify root causes, close loops, and improve systems.

Responsibilities

  • Partner in pre-sales solutioning by joining discovery and solution-design conversations, translating requirements into scopes and phased plans, surfacing dependencies and risks, and ensuring sold work can be implemented.
  • Lead delivery from signed agreement through go-live, including kickoff, project planning, configuration, integrations, data readiness, testing, training, and cutover; maintain workstream progress and clear ownership.
  • Establish stakeholder governance with customer champions, technical teams, and executives; maintain visibility into decisions and risks, escalate when plans need to change, and resolve issues proactively.
  • Translate distributor business workflows into technical plans, collaborating with customers and Proton teammates on workflow configuration, data models, and integration approaches.
  • Assess API, source-system, data-quality, and integration risks; make tradeoffs visible and involve the appropriate technical owner.
  • Define acceptance criteria, lead user acceptance testing and readiness reviews, prepare users for change, coordinate cutover, and support post-launch workflow adoption.
  • Track time to value, on-time go-lives, activation, implementation customer satisfaction, and project health; forecast risks and act early when plans need to change.
  • Turn customer lessons into improved playbooks, templates, estimates, product feedback, and sales enablement to make standard implementations more effective.

Desired Qualifications

  • Early-stage business-to-business software-as-a-service experience.
  • Experience with complex business-to-business, enterprise, or enterprise resource planning-adjacent software, high-frequency users, and essential operational workflows.
  • Experience in wholesale distribution, manufacturing, logistics, or another operationally complex industry.
  • Experience with customer relationship management, product information management, e-commerce, order management, or systems-of-record integrations.
  • Experience delivering artificial-intelligence-enabled workflows in a customer environment, including trust, correction, and handoff patterns.

About the Company

Proton.ai

AI-driven sales optimization via data analytics

Proton.ai provides AI-driven sales solutions for B2B teams. It collects and analyzes data from six sales channels to build a single, comprehensive view of each customer, enabling sales reps to run highly personalized and targeted outreach. The platform uses data analytics and machine learning to translate raw data into actionable insights and recommendations, which are delivered through a subscription-based platform. The company differentiates itself by integrating multi-channel data into one unified profile and by focusing on measurable outcomes, such as a 5-10% increase in total revenue and a 10% lift in average order value for mid-to-large enterprises. Proton.ai’s goal is to help businesses modernize their sales processes, improve customer engagement, and grow revenue by delivering data-driven, personalized selling at scale.

Company size
51-200
Company stage
Series A
Total funding
$30M
Headquarters
Cambridge, MA
Founded
2018

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