Full-stack Engineer

• Our team values a high ownership mindset.
• As a Senior Engineer, your job is not just to write the code, but to give valuable input on the features we develop and the technical foundations of our systems.
• You must empathize with our direct customers, and end users who will interact with the AI agents we power, to think about the best ways to solve the problems on our roadmap.
• Execute on our ambitious product roadmap by creating and implementing technical designs
• Active participant in levelling-up our current development practices
• Champion a high-quality bar on our work by reviewing the team’s code, providing insightful feedback, and fostering a collaborative community within the engineering organization
• Ensure that the team is providing the best AI Agent platform experience by staying close to the customer feedback, internal team pain points and close collaboration with our product and design partners

Senior Software Engineer, Messaging Experience

• Ship well-tested, maintainable code with clear validation steps.
• Help evolve our SDK architecture to improve performance, developer experience, and scalability.
• Debug cross-platform issues and ensure consistency across browsers, devices, and frameworks.
• Contribute to the development of new chat features that enhance automation, personalization, and reliability.
• Pair to learn more about message routing, queueing, and AI-powered messaging flows.
• Document edge cases, risks, and architectural decisions to strengthen team knowledge.
• Continuously improve our build, test, and deployment loops to reduce friction in development.

Software Engineer, Messaging Experience

Pre-sales Engineer

• Partnering with our Enterprise Sales team, you will design impactful solutions that address clients’ unique challenges, driving success and measurable outcomes.
• Develop a deep understanding of client goals, industry challenges, and competitors to craft tailored solutions that differentiate our platform.
• Lead strategic discovery sessions to identify client pain points and position our offerings as the optimal choice.
• Deliver persuasive, value-driven presentations and demonstrations that showcase our competitive edge, particularly in AI-driven solutions.
• Leverage expertise in AI, LLMs, and generative models to create innovative, automation-first strategies.
• Educate clients on the transformative potential of AI technologies, aligning solutions to their business objectives.
• Adapt to changing client needs and market conditions, maintaining a proactive and solution-oriented mindset.
• Partner with cross-functional teams, including Product and Engineering, to ensure client feedback drives continuous innovation.
• Support the Sales team in navigating complex sales cycles, providing technical expertise and strategic guidance.
• Approach every engagement with a drive to win, building strong client relationships and delivering exceptional outcomes.
• Act as a trusted advisor, guiding clients to achieve success through our platform.

Presales Consultant

Security Operations

• Investigate and triage alerts from AWS GuardDuty, Datadog, and internal monitoring systems
• Automate simple checks for IAM key rotation, open ports, and unused credentials
• Participate in simulated incident investigations (analyzing logs, tracing suspicious activity)
• Review IAM policies, security groups, and S3 configurations for best practices
• Help build and document detection and response playbooks
• Learn how to use tools like AWS Config, Security Hub, CloudTrail, and Datadog Security Monitoring
• Partner with DevOps and SecOps engineers to improve automation, visibility, and alert quality
• Support vendor security assessments by completing questionnaires, reviewing responses, and ensuring alignment with internal security controls
• Participate in Bugcrowd program reviews — analyzing reports, verifying findings, and tracking remediation with engineering teams

SecOps Intern

DevOps Engineer

• Create and support scalable and highly reliable software systems to support our growth.
• Collaborate with product and engineering teams to incorporate reliability into product and feature requirements.
• Continuous analysis of the existing infrastructure from the reliability perspective, centered around removing performance bottlenecks, optimizing the infrastructure, the toolkit, and the workflows involved in running it.
• Support various developer tools and processes (deployments, infrastructure management, among others).
• Work with engineering teams to troubleshoot core infrastructure issues and support teams as a consulted entity for service-specific infrastructure needs.
• Implement DevOps solutions across cloud infrastructure, infrastructure as code, deployments, and platform abstractions.
• Participate in an on-call rotation for the services the team owns, triaging and addressing production issues.

Senior DevOps Engineer

• Support the DevOps team in maintaining and improving Ada’s infrastructure
• Debug incidents, triage issues, and help resolve system failures
• Jump into small but meaningful projects involving AWS, Terraform, monitoring, CI/CD
• Help build scripts, automations, and tooling to improve operational efficiency
• Work with observability stacks (e.g. Datadog, CloudWatch) to build dashboards, alerts, and health checks
• Collaborate with software engineers, security team, and platform engineers to deliver reliable services

DevOps Intern

• Deliver high-quality production-ready code with direction from the team.
• Execute on defined tasks and contribute to solving problems with defined solutions in the AI space.
• Participate in the core processes of the team (planning, on-call rotations, bug triage, metrics review, etc).
• Participate in code reviews and raise questions to help me learn the codebases and technologies relevant to my work.
• Contribute to a positive sense of community on my team (e.g., engage in team activities, offsites etc).
• Proactively share relevant information on my project including difficult task-level trade-offs that impact the product to my manager and team (including product/business partners).
• Actively contribute to virtual program learning sessions such as: time management and career development etc.

Software Engineering Intern

Marketing

• Develop and own joint marketing strategies with key technology partners, aligned with shared business objectives.
• Build and execute go-to-market programs, including co-branded campaigns, demand generation initiatives, industry events, and thought leadership opportunities.
• Manage partner relationships, working closely with partner marketing teams to maximize visibility and impact across marketplaces and channels.
• Plan and deliver integrated campaigns that showcase joint solutions, including webinars, case studies, product launches, and executive events.
• Create differentiated narratives that highlight partner value propositions.
• Oversee co-marketing initiatives, ensuring seamless execution and measurable results across demand-gen activities.
• Create sales and enablement assets (pitch decks, one-pagers, playbooks) that help internal and partner sellers articulate joint value.
• Develop training and certification programs that deepen partner teams’ understanding of our solutions.
• Build advocacy by capturing and amplifying joint customer success stories.
• Define KPIs and reporting frameworks to measure partner marketing effectiveness from awareness to revenue impact.
• Continuously optimize campaigns based on data insights, feedback, and evolving partner priorities.
• Build scalable processes and infrastructure to expand marketing programs across future partnerships.

Partner Marketing Manager

Support Engineer

• Triage, troubleshoot, localize and escalate complex client support issues to the Technical Support Engineering teams within agreed-upon SLAs.
• Deliver exceptional customer service experience and technical support to our clients.
• Support non-engineering teams in using, debugging, and understanding the Ada platform.
• Maintain and improve internal product documentation for the client support team.
• Become an Ada product expert and derive structured feature requirements and bug reports from abstract stakeholder information.
• Support platform adoption by assisting stakeholders and ensuring clear communication between customers and engineering.

Technical Support Advisor

• Triage, troubleshoot, localize and escalate complex client support issues to the Technical Support Engineering teams within agreed-upon SLAs
• Deliver exceptional customer service experience and technical support to clients
• Support non-engineering teams in using, debugging, and understanding the Ada platform
• Maintain and improve internal product documentation for the client support team
• Become an Ada product expert and derive structured feature requirements and bug reports from abstract stakeholder information
• Ensure service requests and backlogs are managed and kept up to date

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

• 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

• 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

• 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

Senior Software Engineer, Messaging Experience

Software Engineer, Messaging Experience

Presales Consultant

SecOps Intern

Senior DevOps Engineer

DevOps Intern

Software Engineering Intern

Partner Marketing Manager

Technical Support Advisor

Technical Support Advisor

Enterprise Account Executive

Staff Software Engineer, AI Products

Software Engineer, AI Products

Staff DevOps Engineer

Senior Product Manager, Training