Our client is an AI-powered market research platform that helps organizations run qualitative research at quantitative scale. Leveraging advanced voice AI and automated analysis they enable businesses to have natural real-time conversations with hundreds of customers at once turning months of traditional research into hours of actionable insights.
Theyre reinventing the way companies understand their customers transforming a historically underserved but critical function that drives innovation marketing and product positioning for major brands.
Explosive growth:
Theyre seeing rapid traction across mid-market and enterprise including six-figure deals and fast-moving sales cycles.
Clear product-market fit:
Most of their wins come from solving real customer pain points meaning they rarely need to compete on price.
A naturally viral product:
Insights are easily shared across large teams creating an organic product-led growth loop.
Elite founding team:
Their founders come from Google Research Meta Amazon and Samsara bringing deep experience scaling enterprise and PLG SaaS companies.
Huge market opportunity:
Demand for modern customer understanding tools is accelerating and theyre positioned to become the end-to-end platform of choice for fast high-quality insight generation.
As a founding engineer youll own major parts of the core product and influence the technical direction from day one. Youll work across the stack engineering research infrastructure and product with work that has immediate and visible impact.
Push the boundaries of applied GenAI: deploy foundation models for dynamic conversations reasoning and large-scale thematic analysis.
Innovate in voice & speech AI: improve pipelines for voice generation speech recognition and real-time conversation orchestration.
Build full-stack product experiences: dashboards collaboration tools and intuitive workflows that make research faster and easier.
Lead the future of agent-led UX: help shape a backend powered by intelligent agents and experiment with generative UI.
Scale infrastructure: design systems that support thousands of concurrent AI-mediated interviews large datasets and secure enterprise integrations.
Establish engineering excellence: define best practices mentor early hires and foster a culture of speed rigor and craftsmanship.
Collaborate cross-functionally: work closely with Growth and Customers to turn feedback into the right product decisions at the right time.
5 years of full-stack software engineering experience ideally with exposure to ML/AI products or infrastructure.
A track record of shipping production systems in fast-paced startup environments (01 or 110).
Strength in one or more of: backend systems ML/AI pipelines full-stack web development or real-time/voice infrastructure.
Curiosity and willingness to dive deep into applied R&D LLMs voice generation speech recognition reasoning models.
A high-energy builder mindset with a strong bias for action and comfort with ambiguity.
Bonus: experience with enterprise SaaS insights/research tools or scaling compute-heavy/AI-heavy systems.
Required Experience:
IC
Founding Engineer (AI) • Toronto, Ontario, Canada
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