Decagon · 1 day ago
Engineering Manager, Insights
San Francisco, CA
Full-time
Onsite
Mid, Senior Level
$300K/yr - $415K/yr
3+ years expDecagon is the leading conversational AI platform empowering brands to deliver concierge customer experience. The Engineering Manager, Insights role focuses on scaling analytics experiences and building new products that help customers learn from their data and take action quickly.
Artificial Intelligence (AI)Generative AISoftware
Responsibilities
Build, lead, and develop a high performing team, including hiring, coaching, and performance management
Own the engineering strategy, roadmap, and execution, balancing iteration speed with correctness, trust, and scalability
Partner closely with Product and Customer Success to understand customer needs, propose new product directions, and ship iteratively based on real usage
Drive 0 to 1 development through rapid prototyping, experimentation, and iterative deployment, then scale what works
Set architectural direction across user facing experiences and the underlying data models, pipelines, and APIs that power reporting, detection, and insight generation
Establish standards for data quality, metric integrity, observability, and debuggability so we can diagnose issues quickly and prevent repeat incidents
Collaborate with Data Science, Research, and Agent Engineering to connect conversation signals, evaluations, and customer outcomes into actionable product experiences
Qualification
Required
Have 3+ years of engineering management experience, or equivalent experience leading teams through delivery, coaching, and stakeholder management
Have a strong 0 to 1 product development sense. You can turn ambiguity into a clear learning plan, ship quickly, and iterate toward product-market fit
Have led large, long lived codebases and can set architectural direction while keeping engineering quality high as systems evolve
Are comfortable staying technical as a manager. You can guide design reviews, dive into complex issues, and lead incident and post-incident learning without needing to be the primary implementer
Have built user facing analytics or insight products where correctness, trust, and explainability matter
Communicate clearly and collaborate well across Product, Design, Customer Success, and technical partner teams
Invest in people. You coach engineers, raise the bar for execution, and build a culture of ownership and craft
Preferred
Experience building analytics, monitoring, QA, or insight products
Experience working with agent driven or LLM powered systems
Experience designing scalable data models across relational and analytical databases
Experience building high-volume data pipelines, streaming systems, or near real-time analytics
Benefits
Medical, dental, and vision benefits
Take what you need vacation policy
Daily lunches, dinners, and snacks in the office
Company
Decagon
Decagon is a conversational AI platform that provides a centralized AI engine to resolve issues in any language and across all channels.
201-500 employees
H1B Sponsorship
Decagon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (10)
Funding
Current Stage
Growth StageTotal Funding
$231MKey Investors
Bain Capital VenturesAccelAndreessen Horowitz
2025-06-23Series C· $131M
2024-10-15Series B· $65M
2024-06-18Series A· $30M
Leadership Team
Jesse Zhang
CEO / Co-Founder
Ashwin Sreenivas
Co-Founder
Recent News
2025-11-04
Company data provided by crunchbase