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Gorgias

Omnichannel ecommerce helpdesk with AI

Head of Solutions Engineering

Pre-Sales Solution Engineering +1Confirmed live in the last 24 hours
Full-timeToronto, ON, CanadaCA$242k - CA$267k /yrIn-person

About the Job

Requirements

  • 10+ years of experience in solutions engineering, solutions architecture, forward deployed engineering, professional services, or technical consulting, ideally at a B2B SaaS company.
  • 5+ years of experience leading customer-facing technical teams, ideally across both pre-sales and post-sales, with a record of hiring and growing engineers and managers.
  • Experience helping win complex six- and seven-figure enterprise deals and running technical discovery, proofs of concept, and mutual close plans alongside Sales.
  • Experience owning a professional services P&L or a significant part of it, including pricing and packaging services, managing utilization and gross margin, and converting custom work into standard offers.
  • Experience transforming a reactive technical team into a scalable, productized deployment function.
  • Experience shipping LLM-powered agents, workflows, or integrations into production and testing them with evaluations and real data.
  • Ability to write and review code in Python, JavaScript, and TypeScript, and work with REST APIs, webhooks, and SQL.
  • Ability to connect technical work to revenue, retention, and margin, and to reject unsuitable scope.

Responsibilities

  • Lead, hire, and coach a distributed team of pre-sales Solutions Engineers and Forward Deployed Engineers; set expectations for technical quality, customer judgment, and speed, and provide direct feedback.
  • Lead discovery on key deals, build proofs of concept, review architectures and code, and help debug deployments at risk.
  • Establish operating practices, including OKRs, capacity planning, engagement reviews, and dashboards measuring the team's impact on revenue, automation, and retention.
  • Own the technical win on Enterprise and Named deals, partnering with Account Executives on discovery, technical qualification, tailored demonstrations, proofs of concept, and solution design.
  • Create mutual close plans with Sales, map technical stakeholders and success criteria, and handle technical objections, security reviews, integration reviews, and RFP responses.
  • Improve enterprise win rate and deal velocity by making Solutions Engineer coverage for qualifying deals, pipeline hygiene, and win/loss reviews standard practice.
  • Ensure sold work can be delivered by setting realistic timelines, documenting scope before signature, and applying production-level rigor to trials and proofs of concept.
  • Define and productize standard deployment offers, including Forward Deployed Engineering engagements with clear scope, hours, deliverables, and success measures.
  • Lead custom deployments for complex merchants, including custom actions, integrations with order, warehouse, and ERP systems, multi-store rollouts, and bespoke builds against customer APIs.
  • Own the handoff from pre-sales to post-sales so one technical owner carries the action plan and delivery, with clear engagement rules for Implementation Managers and CSMs.
  • Set eligibility rules for new and existing customers and allocate capacity between new deployments and re-optimizing accounts based on revenue, churn risk, and automation potential.
  • Drive covered-account outcomes, including higher AI Agent automation, faster time to value, shorter custom-action cycle time, and lower churn and contraction without reducing CSAT or resolution quality.
  • Own the professional services P&L, including bookings, revenue, delivery costs, utilization, and gross margin; set and meet targets.
  • Own pricing and packaging with Finance, Sales, and RevOps, including rate cards, fixed-price packages, statements of work, and priced change requests; protect margins against waived fees and scope creep.
  • Train Account Executives to position, qualify, scope, and sell professional services, and create playbooks, pitch materials, and qualification criteria; partner with Product Marketing to bring offers to market.
  • Enable Implementation Managers and CSMs to handle standard configurations, basic custom actions, and first-line troubleshooting so engineers can focus on complex builds.
  • Turn custom builds into templates, reusable actions, playbooks, or product updates that reduce the cost of future deployments; track custom work per deployment and reduce it over time.
  • Use AI coding tools, agents, and evaluations to accelerate discovery, scoping, configuration, quality assurance, and reporting.
  • Represent enterprise merchant needs to Product and Engineering by translating field signals into prioritized requests and helping shape the roadmap.
  • Represent Gorgias in strategic discussions and technical deep dives with enterprise brand leaders.

Desired Qualifications

  • Ecommerce or customer-experience technology experience, including Shopify Plus, BigCommerce, Salesforce Commerce Cloud, Magento, helpdesks, OMS, or WMS platforms.
  • Experience at an AI customer service company or with conversational AI.
  • Experience leading teams across North America, Europe, and Latin America.

About the Company

Gorgias

Omnichannel ecommerce helpdesk with AI

Gorgias builds a customer-support platform for ecommerce teams. It provides an omnichannel helpdesk that unifies email, chat, SMS, WhatsApp, Instagram, and Facebook in one view, and connects to Shopify and 300+ ecommerce tools to surface orders, products, subscriptions, inventory, and other customer context inside conversations. Its AI Agent automates common requests like order tracking, returns, FAQs, discounts, and subscription changes, and passes more complex issues to human agents with the full conversation context. The product is offered as a subscription SaaS that supports workflows across customer service, sales, and post-purchase engagement. Compared with other helpdesks, Gorgias emphasizes deep ecommerce integrations, real-time access to order and customer data, and AI-driven automation to handle routine tasks within the chat-based support flow.

Company size
501-1,000
Company stage
Series C
Total funding
$101.4M
Headquarters
San Francisco, CA
Founded
2015

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