Account Executive

• Own the entire sales motion for Enterprise accounts.
• Manage and close expansion opportunities within your existing customer base.
• Build and maintain a strong sales pipeline alongside Sales Development Representatives, achieving net-new business quotas.
• Develop a territory plan that supports the successful execution and achievement of sales targets.
• Accurately forecast quarterly results to Sales Leadership.
• Collaborate closely with Customer Solutions Consultants to deliver impactful product demos to key stakeholders.
• Become an expert on all things Ada and be able to effectively communicate our value proposition to all levels, including C-Suite executives.

Enterprise Account Executive

Full-stack Engineer

• Focus on Ada’s Reasoning Engine: retrieve first-party content, ground LLMs, and generate replies for customer support
• Ship well tested code with clear PR validation steps; add unit and integration tests
• Help define and meet SLOs; document edge cases and risks; tackle technical debt within your scope
• Deliver features and fixes on time; demo work and communicate value
• Reduce friction by improving build, test, and deploy loops; raise reliability and improve latency in high traffic paths
• Seek feedback, share learnings in docs and meetings, and stay current on stack and LLM advances
• Collaborate with product and design to deliver features that improve reliability, latency, and customer outcomes
• Review the team’s code, provide insightful feedback, foster collaborative community and teach teammates
• Ensure the team provides the best AI Agent platform experience to internal developers and external partners
• Participate in an on-call rotation for services the team owns, triaging and addressing production issues
• Execute on the product roadmap and contribute perspective to level up development practices

Software Engineer, AI Products

• Focus on Ada’s Reasoning Engine: retrieve first-party content, ground LLMs, and generate replies
• Own a clear area of the engine; know architecture, domain, and data
• Pick the right tools and design for current and future load
• Lead reviews; maintain tests, observability, SLOs, and SLAs
• Maintain visible technical backlog, keep dependencies up to date, and fix security issues
• Work with product and design from discovery through iteration to deliver roadmap
• Prioritize high-leverage work to increase developer velocity, reduce latency, and improve onboarding
• Mentor across teams, demo complex ideas, review designs and PRs, and unblock engineers
• Translate technical tradeoffs into clear business impact and deliver measurable outcomes

Staff Software Engineer, AI Products

DevOps Engineer

• Act as a trusted technical leader setting direction on architecture, reliability, scalability, and developer experience.
• Architect, build, and support scalable and highly reliable software systems that power Ada’s platform growth.
• Lead the design and implementation of resilient cloud infrastructure (multi-region, multi-cloud where appropriate) to ensure uptime, scalability, and operational safety.
• Continuously analyze and optimize infrastructure for reliability, performance, and cost—removing bottlenecks, modernizing tooling, and streamlining workflows.
• Support developer tools and processes (CI/CD pipelines, deployment frameworks, environment provisioning) to maximize engineering velocity.
• Troubleshoot and resolve complex infrastructure issues; participate in and elevate on-call operations and incident response.
• Implement advanced DevOps practices across infrastructure as code, deployments, monitoring, and platform abstractions.
• Establish and maintain reliability standards, define and enforce SLOs/SLAs, and ensure observability is built into all systems.
• Lead cross-cutting initiatives to improve uptime, resiliency, and incident response processes, driving systemic reliability improvements.
• Create and evolve platform abstractions, patterns, frameworks, and tooling to accelerate developer velocity and reduce operational toil.
• Coach and mentor senior and mid-level engineers, contribute to engineering excellence, and represent DevOps in executive and cross-functional forums.
• Outcomes: scalable, reliable, cost-effective infrastructure supporting rapid growth; measurable improvements in uptime, resiliency, and developer velocity; reduced operational toil.

Staff DevOps Engineer

Product Manager

• Lead the evolution of Ada’s AI Manager experience, shaping the strategy and roadmap for how customers gain precise control over their AI Agent.
• Design intuitive management workflows in the Ada Dashboard that make it effortless to configure resources, tailor the AI Agent’s behavior, and accelerate the path from launch to a successful, high-performing AI Agent.
• Advance Coaching capabilities, to empower AI Managers to directly control how their AI Agent learns from gaps, tests changes, and measures the impact of improvements at scale—solving the complex challenge of imparting deterministic control over inherently non-deterministic generative AI systems.
• Strengthen Ada’s AI Agent knowledge retrieval ensuring accurate, grounded and up to date responses.
• Expand the ways customers' AI Agents can be controlled and interact with external systems, including developing and optimizing MCP frameworks and other integration capabilities.
• Empower AI Managers to maximize the power of generative workflows while weaving in key deterministic paths where needed, enabling them to combine no-code/low-code data transformations with adaptive AI-driven responses for powerful, tailored automation.
• Collaborate with ML engineers, designers, and customers to explore and define new approaches, refine guardrails, and validate how the AI Agent learns and improves through usage

Enterprise Account Executive

Software Engineer, AI Products

Staff Software Engineer, AI Products

Staff DevOps Engineer

Senior Product Manager, Training