commercetools

Account Executive

• Develop and execute account strategies that create, advance, and close large net-new enterprise opportunities
• Consistently exceed annual new business revenue targets through disciplined pipeline generation and strategic opportunity management
• Serve as a trusted advisor on Autonomous Commerce, helping organizations modernize their digital commerce capabilities and prepare for the future of AI-driven buying experiences
• Engage executive leadership while building alignment across business, digital, product, technology, and operations teams
• Lead complex sales cycles that typically span 6–9 months and may extend longer for large enterprise transformation initiatives
• Drive consensus across diverse buying committees, navigating legal, procurement, security, and competitive evaluations
• Build compelling business cases and financial justification that clearly connect platform capabilities to measurable business outcomes and executive priorities
• Partner effectively with BDRs, Solution Engineers, Customer Success, Partners, and Marketing to maximize pipeline creation and deal velocity

Senior Named Account Executive

Marketing

• Rapidly develop a working knowledge of the Medtech & Life Sciences commerce landscape including key buyer personas (procurement, IT, digital commerce, regulatory affairs) and critical industry trends such as direct-to-patient models, omnichannel HCP engagement, and compliance-driven purchasing.
• Identify sub-verticals to prioritize based on commercetools' ability to address unique use cases such as medical device distribution, pharmaceutical e-commerce, lab supply procurement, or contract research services.
• Map the information ecosystem: identify the publications, communities, events, analysts, and influencers that Medtech & Life Sciences buyers trust when evaluating commerce vendors (e.g. MedCity News, HIMSS, AdvaMed, Gartner Health).
• Serve as a demand generation-focused partner to the sales team, arming them with campaign context, follow-up materials, and insight into what's driving engagement from target accounts.
• Own the demand generation plan for the Medtech & Life Sciences vertical, working hand-in-hand with Product Marketing to activate their positioning and messaging across the right channels and audiences.
• Define and prioritize target account segments within the vertical partnering with sales and ABM teams to align on named accounts, buying signals, and pipeline goals, with attention to long enterprise sales cycles and multi-stakeholder buying committees common in regulated industries.
• Design and run multi-channel campaigns tailored to the Medtech & Life Sciences buyer journey spanning digital advertising, email nurture, content syndication, ABM plays, and industry events such as JPM Healthcare, HIMSS, and BIO.
• Own and manage budget and programs end-to-end from brief through execution and reporting, with a relentless focus on pipeline contribution as the measure of success.
• Own pipeline targets for the Medtech & Life Sciences vertical and report on marketing's contribution to new pipeline, influenced pipeline, and deal acceleration.
• Identify and invest in the highest-leverage demand generation channels for this audience, whether that's industry trade events, vertical publications, targeted ABM programs, or outbound plays in partnership with the BDR team.
• Work closely with BDRs and sales to ensure tight campaign-to-conversation handoffs and build feedback loops that keep targeting, channel mix, and offer strategy sharp over time.
• Continuously test, measure, and optimize campaign performance, bringing a data-driven mindset to every decision about where to invest and where to pull back.

Industry Marketing Manager, Medtech – Life Sciences

• Rapidly develop a working knowledge of the industrial manufacturing commerce landscape including key buyer personas and key industry trends.
• Identify sub industries to prioritize based on commercetools ability to meet the unique needs / use cases.
• Map the information ecosystem: identify the publications, communities, events, analysts, and influencers that industrial manufacturing buyers trust when evaluating commerce vendors.
• Serve as a demand generation-focused partner to the sales team, arming them with campaign context, follow-up materials, and insight into what's driving engagement from target accounts.
• Own the demand generation plan for the Industrial Manufacturing vertical, working hand-in-hand with Product Marketing to activate their positioning and messaging across the right channels and audiences.
• Define and prioritize target account segments within the vertical, partnering with sales and ABM teams to align on named accounts, buying signals, and pipeline goals.
• Design and run multi-channel campaigns tailored to the industrial manufacturing buyer journey spanning digital advertising, email nurture, content syndication, ABM plays, and industry events.
• Own and manage budget and programs end-to-end from brief through execution and reporting, with a relentless focus on pipeline contribution as the measure of success.
• Own pipeline targets for the Industrial Manufacturing vertical and report on marketing's contribution to new pipeline, influenced pipeline, and deal acceleration.
• Identify and invest in the highest-leverage demand generation channels for this audience, whether that's industry trade events, vertical publications, targeted ABM programs, or outbound plays in partnership with the BDR team.
• Work closely with BDRs and sales to ensure tight campaign-to-conversation handoffs and build feedback loops that keep targeting, channel mix, and offer strategy sharp over time.
• Continuously test, measure, and optimize campaign performance, bringing a data-driven mindset to every decision about where to invest and where to pull back.

Industry Marketing Manager – Industrials & Manufacturing

AI Engineer

• You own AI capabilities end-to-end: from the data and context that feed a model, through agent orchestration, to the generative UI a user sees and trusts. You've personally shipped and operated full-stack apps in production, so backend, frontend, data, and ML aren't four teams you coordinate with, they're four things you do. You're not a research scientist; you wield models and engineer ruthlessly around their uncertainty.
• Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
• Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
• Render model output into live, streamed, accessible UI via generative-UI protocols
• Ground models in real data: retrieval, embeddings, and feedback loops that actually close
• Treat evals as a first-class system - provable improvement, not vibes
• Take a capability from prompt-in-a-notebook to a measured, guard-railed production feature

• You own AI capabilities end-to-end: from the data and context that feed a model, through agent orchestration, to the generative UI a user sees and trusts. You've personally shipped and operated full-stack apps in production.
• Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
• Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
• Render model output into live, streamed, accessible UI via generative-UI protocols
• Ground models in real data: retrieval, embeddings, and feedback loops that actually close
• Treat evals as a first-class system - provable improvement, not vibes
• Take a capability from prompt-in-a-notebook to a measured, guard-railed production feature

• You own AI capabilities end-to-end: from the data and context that feed a model, through agent orchestration, to the generative UI a user sees and trusts.
• Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
• Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
• Render model output into live, streamed, accessible UI via generative-UI protocols
• Ground models in real data: retrieval, embeddings, and feedback loops that actually close
• Take a capability from prompt-in-a-notebook to a measured, guard-railed production feature

Executive Assistant

• Manage complex, fast-moving calendars with a proactive approach, optimizing the executives' time and ensuring key projects progress smoothly.
• Maintain open, clear communication loops with the CCO and CMO, keeping leadership effortlessly informed and aligned in real time.
• Oversee intricate domestic and international travel logistics, ensuring seamless itineraries from start to finish.
• Join key leadership meetings to capture action items, organize all-hands and onsite events, and help facilitate quarterly business cadences.
• Engage with relevant Slack channels to help maintain team organization, share reminders, and keep regional teams connected.
• Partner with our Europe-based Workplace Experience team to keep the Boston office welcoming and functional, while organizing engaging local events that bring our Boston team together.

• Develop and execute account strategies that create, advance, and close large net-new enterprise opportunities.
• Consistently exceed annual new business revenue targets through disciplined pipeline generation and strategic opportunity management.
• Serve as a trusted advisor on Autonomous Commerce, helping organizations modernize their digital commerce capabilities and prepare for the future of AI-driven buying experiences.
• Engage executive leadership while building alignment across business, digital, product, technology, and operations teams.
• Lead complex sales cycles that typically span 6–9 months and may extend longer for large enterprise transformation initiatives.
• Drive consensus across diverse buying committees, navigating legal, procurement, security, and competitive evaluations.
• Build compelling business cases and financial justification that clearly connect platform capabilities to measurable business outcomes and executive priorities.
• Partner effectively with BDRs, Solution Engineers, Customer Success, Partners, and Marketing to maximize pipeline creation and deal velocity.