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

Solutions Engineer

• Act as the primary point of contact for clients, addressing questions, providing guidance, and ensuring a seamless partnership experience throughout the customer lifecycle.
• Own and manage a book of business, ensuring each client achieves measurable outcomes tied to their ACX goals (e.g., automated resolution, CSAT, ROI).
• Partner with clients to deploy, scale, and mature their ACX programs using Ada’s ACX Framework as a blueprint for success.
• Serve as a technical consultant and product expert, guiding clients through integrations, data flows, and system architecture across SaaS and API environments (e.g., Salesforce, Zendesk, Shopify, HubSpot)
• Support clients in optimizing their AI Agent performance through transcript reviews, data analysis, training updates, and implementation of best practices.
• Ensure client knowledge sources are accurate, well-structured, and continuously optimized to maximize the AI Agent’s effectiveness.
• Drive adoption and utilization of Ada’s solutions across the client’s organization by fostering alignment with key stakeholders and building internal advocacy.
• Identify opportunities to expand use cases and deepen integrations within client ecosystems.
• Track, analyze, and report on success metrics such as Automated Resolution Rate, CSAT, and ROI to demonstrate business impact and guide strategy.
• Translate complex technical concepts into clear, value-driven recommendations for non-technical stakeholders.
• Improved automated resolution rates and customer satisfaction for client programs.
• Strong client advocacy leading to renewals, expansions, and strategic partnerships.
• Continuous feedback loop between clients and internal teams to enhance Ada’s platform and services.

Customer Solutions Consultant II

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 analytics product roadmap by creating and implementing technical designs that incorporate resilient architecture with a high volume of analytics data, key performance concerns such as latency, and product success criteria considerations.
• 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, Analytics

• As a Senior Engineer, give valuable input on the features developed and the technical foundations of systems.
• Empathize with direct customers and end-users to solve problems on the roadmap.
• Execute on the ambitious product roadmap by creating and implementing technical designs.
• Actively participate in leveling-up current development practices.
• Champion a high-quality bar on the work by reviewing the team’s code, providing insightful feedback, and fostering a collaborative community.
• Ensure the team is providing the best AI Agent platform experience by staying close to customer feedback and collaborating with product and design partners.

Senior Software Engineer – Training

Data Analyst

• Define and maintain analytics-ready datasets and metrics that reflect business processes and support effective analysis and reporting
• Enable self-serve analytics by improving data clarity, accessibility, and documentation
• Ensure data quality by validating data, identifying inconsistencies, and partnering with engineering teams to maintain high data integrity
• Define, document, and maintain core business metrics and definitions to ensure consistent and trusted reporting
• Partner closely with Product and cross-functional teams to ensure end-user data is accurate, well-defined, and fit for analysis
• Support Product and GTM teams with actionable insights through thoughtful analysis and high-quality dashboards

Senior Data Analyst

Support Engineer

• Triage, troubleshoot, and resolve complex client support issues—especially those requiring deep technical analysis or cross-functional collaboration.
• Serve as a liaison between Support and Engineering, contributing to bug identification, resolution, and release validation.
• Drive improvements to internal documentation and tooling to enable faster and more consistent issue resolution across the Support team.
• Provide mentorship and guidance to Tier I team members, raising the overall technical capability of the team.
• Influence product quality and stability by highlighting issue trends, participating in incident reviews, and contributing to root cause analyses.

Technical Support Engineer

Pre-sales Engineer

• Develop a deep understanding of client goals, industry challenges, 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.
• Support revenue goals by driving technical alignment and showcasing the unique value of our solutions.
• Act as a trusted advisor, guiding clients to achieve success through our platform.

Presales Consultant

• Own the strategic value narrative for high-impact deals, aligning our solutions to C-level business priorities.
• Lead multi-stakeholder discovery and solution framing, guiding internal teams on best practices in consultative selling.
• Partner with Sales Leadership to refine value propositions and competitive positioning across key verticals.
• Coach junior team members on building persuasive, value-based business cases that connect technical capabilities to measurable ROI.
• Architect AI-driven proof-of-concepts and solution frameworks that illustrate transformative value for enterprise clients.
• Partner with Product and Marketing to influence roadmap priorities and craft go-to-market narratives around emerging AI capabilities.
• Serve as a strategic bridge between Sales, Product, and Engineering to accelerate complex enterprise opportunities.
• Influence product direction through structured client feedback and solution validation.
• Lead cross-functional pursuit teams to deliver compelling RFP responses, tailored demos, and technical proof points.
• Take ownership of technical strategy across major opportunities, driving measurable revenue impact.
• Champion a competitive mindset within the team, continuously refining how we win deals and communicate value.
• Develop playbooks, demo frameworks, and best practices that scale the impact of the Presales function.
• Represent the company at industry events, webinars, and thought leadership forums to elevate our market presence.

Senior Presales Consultant

Product Designer

• Streamline the path to value — Design workflows that make it easy to set up and tailor the AI Agent, accelerating the time from launch to meaningful impact.
• Design how the AI Agent improves over time — Create intuitive ways for customers to identify gaps, test changes, and refine their Agent’s behavior with confidence.
• Make complex systems feel approachable — Help AI Managers understand what their Agent is doing, why it’s behaving a certain way, and how to guide it—without needing deep AI expertise.
• Balance structure and flexibility — Build experiences that blend no-code configuration with adaptive AI behavior, giving users power and precision without adding friction.
• Collaborate directly with customers and internal teams — Run discovery with developers, CX leaders, and end users to gather insights, validate ideas, and iterate quickly.
• Lead with insight — Translate ambiguous problems into clear flows, conceptual models, and thoughtful interactions that inform strategy and drive decisions.

Senior Product Designer, AI Manager

• Your goal will be to deliver new integrations and features to drive amazing experiences for customers.
• You will be building on top of Ada’s API and integration framework.
• Features you deliver will be adopted by the cutting edge of Ada’s client base, and will be used to open up new avenues for growth through our integration marketplace.
• Furthermore, as the main consumer of Ada’s API platform, your projects will be used to inform & drive Ada’s core architecture and strategy long term.
• Execute on our ambitious Ada integration roadmap through long-term technical exploration and planning.
• Be hands-on in building features, solving scaling and reliability challenges.
• Provide expertise to identify areas of opportunity / innovation and help level up our current development practices.
• Ensure the team is providing a scalable and maintainable platform for integrations.
• Help raise the bar for technical excellence, foster a collaborative community, and teach everyone something new.

Senior Software Engineer, Solutions

Manager

• Own, measure, and evolve Ada’s ABM playbook, ensuring scalable program execution, strong communication, and effective feedback loops between core revenue and marketing stakeholders.
• Partner with regional sales leaders, account executives, and BDRs to prioritize eligible accounts and define joint ABM strategies as well as quarterly KPIs.
• Develop and execute multi-layered ABM plays (1:1, 1:few, and 1:many) tailored to account tiers, and aligned with our ICP.
• Working with your marketing peers, create and manage multi-channel campaigns including intent-driven messaging, personalized landing pages and digital experiences, paid media, video, email sequences, events, and direct mail.
• Partner with Marketing Operations to monitor, track, and report on the results of our ABM campaigns to stakeholders across the business. Make recommendations for next steps and program changes based on analysis of results.
• Build, maintain, and drive usage of account intelligence within our ABM platform, integrating organizational and behavioral data from our CRM, marketing automation, and social media platforms to guide targeting and personalization, and trigger activation.
• Manage budgets, forecasts, and resource allocation across ABM initiatives with clear ROI accountability.
• Develop a deep understanding of our messaging and value proposition, competitive differentiation, and customer success stories to inform our ABM plays.
• Drive cross-functional cooperation with adjacent teams responsible for content, product marketing, and sales enablement teams to optimize ABM results and adoption.
• Stay ahead of ABM best practices, new martech capabilities, and evolving buyer journey strategies.

Senior ABM Manager

Machine Learning Engineer

• Own the quality and reliability of the AI features that power our AI Agent platform for customer support
• Partner with Product Managers, Engineers, and Designers to frame problems, design experiments, and make evidence-based decisions that improve outcomes for customers and end users
• Deliver simple and highly reusable evaluation and analysis code
• Collaborate with engineers to productionize changes
• Develop a deep understanding of Ada’s product and empathize with users to find the best ways to solve customer problems