
201 - 500 employees
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
💰 $25M Series E on 2022-04
Artificial Intelligence • B2B • SaaS
Conversica is a leading provider of Conversation Automation solutions, utilizing advanced AI-powered digital assistants to engage in two-way dialog and drive revenue opportunities across marketing, sales, and customer success teams. Their platform leverages natural language processing and large language models, including GPT, to simulate human-like conversations, helping to identify and nurture leads, reactivate opportunities, and maintain customer relationships. Conversica integrates seamlessly into existing technology stacks, allowing businesses to scale their efforts and unlock hidden revenue across multiple industries.
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201 - 500 employees
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
💰 $25M Series E on 2022-04
Artificial Intelligence • B2B • SaaS
Conversica is a leading provider of Conversation Automation solutions, utilizing advanced AI-powered digital assistants to engage in two-way dialog and drive revenue opportunities across marketing, sales, and customer success teams. Their platform leverages natural language processing and large language models, including GPT, to simulate human-like conversations, helping to identify and nurture leads, reactivate opportunities, and maintain customer relationships. Conversica integrates seamlessly into existing technology stacks, allowing businesses to scale their efforts and unlock hidden revenue across multiple industries.
• Set the technical direction for Conversica's backend platform, owning architecture decisions that span integrations, data, messaging, and orchestration across the entire system • Drive cross-functional initiatives that touch multiple engineering teams, partnering with AI Engineering, Product, and Integrations leadership to shape platform strategy and roadmap • Define and evolve org-wide engineering standards for backend service design, data modeling, integration patterns, observability, and operational excellence • Identify systemic reliability, scalability, and performance risks across the platform and lead the engineering response • Mentor senior and mid-level engineers across the backend organization, raising the technical bar through design reviews, written technical guidance, and pairing on hard problems • Represent the backend platform in technical strategy discussions with executive leadership and contribute to multi-quarter roadmap planning • Build and ship production code yourself; this is a hands-on individual contributor role, not a pure architect role
• Equivalent of 8+ years of professional software engineering experience with significant focus on backend platform, integrations, or data infrastructure - including hands-on responsibility for systems running in production at scale. • Track record of leading cross-team or org-wide technical initiatives from conception through production, including the soft work of building consensus and unblocking other engineers • Proven experience deploying and operating production backend systems at scale • Strong proficiency in Python, including production experience with FastAPI, Celery, and similar async/queue-based frameworks • Deep experience with Postgres including schema design, query optimization, and operating Postgres in production • Experience working with large datasets and navigating real-world data quality challenges across heterogeneous source systems • Experience setting engineering standards (service design, data architecture, operational practices) that other engineers adopted and built on • Experience designing and operating integrations with third-party SaaS systems including handling rate limits, schema drift, and partial failures • Strong background in modern cloud-based architectures, particularly AWS • Active use of modern AI coding tools (Claude Code, OpenAI Codex, Cursor, or similar) as part of your development workflow
• Health, dental, and vision benefits • PTO • Holiday pay • 401(k) • Equity
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