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Ada

AI-powered no-code customer support automation platform

Senior Solutions Architect

Pre-Sales Solution Engineering +1Confirmed live in the last 24 hours
Full-timeRemote in CanadaNo salary listed

About the Job

Requirements

  • At least 6 years of experience in a customer-facing technical role such as solution architect, sales engineer, integration engineer, or technical consultant at a SaaS or consulting company.
  • Experience designing technical solutions across REST APIs, webhooks, SDKs, and event-driven patterns, including OAuth 2.0 and JWT authentication, personally identifiable information handling, design for scale and rate limits, and writing specifications for engineers.
  • Experience as the technical lead in complex B2B sales cycles alongside account executives and solutions consultants.
  • Ability to communicate with business and engineering stakeholders, anticipate needs, follow through, set clear expectations, recommend guidance instead of a custom build when appropriate, and maintain strong relationships.
  • Experience working across CRM and contact centre platforms, with the ability to ramp up quickly on new systems.
  • Experience working with AI agents or conversational AI platforms in a customer-facing technical role.
  • Hands-on ability to use Python or JavaScript, AWS cloud services, and coding agents such as Claude Code or Codex to prototype, review solutions, and communicate with engineers.
  • Ability to work effectively in a fast-moving environment with ambiguity.

Responsibilities

  • Partner with Solutions Consultants on complex deals beyond out-of-the-box capabilities, own solution architecture, and turn proposed possibilities into deliverable solutions.
  • Lead technical deep dives with client business and engineering teams, translate business goals into clear technical requirements, and recommend an approach.
  • Own the design of technical solutions connecting Ada’s AI Agent to client business systems and data, including CRMs, contact centres, commerce platforms, knowledge bases, and business intelligence tools, using Ada’s APIs, SDKs, and MCP.
  • Design and scope bespoke solutions, implement working proofs of concept, and drive them to production with engineers.
  • Serve as technical advisor to Customer Success on existing and strategic accounts, identifying technical solutions that can improve client AI Agent performance.
  • Shape pre-sales deals with a feasible technical approach so clients can launch what is sold.
  • Unblock clients when a platform or technology issue threatens a launch, before it becomes an account risk.
  • Give Customer Success technical options to help existing clients raise their automated resolution rate.
  • Take bespoke solutions from scope to production with engineers, providing specifications they can build against.
  • Provide clients and account teams with fast, confident technical answers so deals and launches do not stall on technical questions.
  • Turn repeat solutions into reusable patterns and guides so new clients can move faster.
  • Bring recurring client needs to the Product team as clear, evidence-backed input.
  • Within the first 90 days, become the go-to expert on a set of Ada integrations and independently lead pre-sales and client technical conversations.

Desired Qualifications

  • Experience with Zendesk, Salesforce, Amazon Connect, Microsoft Dynamics, or Oracle.
  • Hands-on experience with MCP or AI agent tooling.

About the Company

Ada

AI-powered no-code customer support automation platform

Ada provides an AI-native, no-code platform for enterprise customer service automation that handles messaging, voice, and email across 50+ languages. Its system uses a Reasoning Engine, generative AI, and natural language understanding to grasp customer intent, resolve many inquiries, and automate workflows, so many conversations can be managed without human agents. It integrates with CRMs and e-commerce systems like Salesforce, Zendesk, and Shopify to deliver personalized experiences and smooth handoffs across industries such as e-commerce, financial services, SaaS, and gaming, with clients including Meta and Shopify. The goal is to transform customer support from a cost center into a revenue-generating function by autonomously resolving a large share of conversations (up to about 83%) and lowering costs while increasing engagement.

Company size
501-1,000
Company stage
Acquired
Total funding
$190.5M
Headquarters
Toronto, Canada
Founded
2016

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