Staff Software Engineer - AI
Outreach · Hyderabad
Remote
Full-time
Lead
Engineering
Posted July 6, 2026
Job Description
About Outreach
Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few.
Opportunity Management (OM) Team
About the Team
- Our mission is to deliver a resilient, internet-scale microservice platform supporting high-velocity development, real-time analytics, and intelligent automation. The team architects and powers the critical backend services at the core of our opportunity management and forecasting ecosystem. We collaborate closely with cross-functional leaders to drive innovation, enable data-driven decisions, and leverage cutting-edge AI/ML to ensure global customer impact.
- As Outreach invests in AI-native product experiences, this team owns both the backend platform and the clean, well-modeled, high-quality data foundations those experiences depend on. This role is central to that shift.
The Role
- We are seeking a Staff Software Engineer who thrives on tackling complex technical and architectural challenges at scale. You will bring deep expertise in scalable, distributed systems design, lead high-performing teams through ambiguity, and accelerate product innovation in data-driven and AI-rich environments. You will steer system evolution, guarantee performance under high load, and mentor peers while shaping delivery and technical direction.
- Equally important, you will raise the team’s data- and AI-engineering maturity — designing the pipelines, data models, and ML/GenAI integrations that power our next generation of intelligent features.
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