The SDR acts as the first point of contact to communicate the value of AI Agents and qualify prospective clients through omni-channel campaigns. They collaborate with Account Executives to build long-term relationships and optimize outbound prospecting strategies.
Ada
7 Remote Job Openings at Ada
Lead a global 24/7 two-tiered technical support organization and own the full function from SLA governance to tooling strategy. Act as a strategic partner to Engineering and Product teams to translate client feedback into actionable product improvements using AI-native operations.
Own the full sales cycle for enterprise accounts, focusing on hunting new opportunities and managing expansion within the existing customer base. Collaborate with consultants to deliver product demos and develop territory plans to achieve sales targets.
You will own the quality and reliability of AI features within the customer support platform by designing experiments and making evidence-based decisions. You will collaborate with cross-functional teams to productionize changes and mentor peers in AI feature design and measurement.
You will lead enterprise customers through the entire onboarding and implementation journey, acting as a technical partner and strategic advisor. Your role involves configuring logic-based workflows, integrating platforms, and ensuring successful project delivery from kickoff to go-live.
The Director will define and execute the System Integrator/Global Systems Integrator partner strategy, focusing on recruiting top-tier partners and driving net new business growth through strategic relationships. This role involves serving as an executive sponsor for key relationships, developing joint business plans, and designing comprehensive partner sales enablement programs.
The Senior Product Designer will be responsible for shaping the AI Manager experience within Ada's Dashboard, focusing on how AI Managers train, evaluate, and deploy their company's AI Agent across various channels. Key outcomes include streamlining the path to value, designing intuitive ways for the AI Agent to improve over time, and making complex AI systems approachable for non-expert users.