• Drive greater efficiency and scalability though the design and implementation of workflows that connect GTM signals (intent, engagement, enrichment, lifecycle events) to outcomes and replace manual, inconsistent processes with standardized, measurable operating patterns. Examples include: - Signal-driven lead/account qualification + routing (e.g., intent + ICP fit → owner/sequence/next best action), with clear SLAs and exception handling. - Research + personalization automation that leverages existing systems and pre-built agent concepts (research agents, prospecting agents, sales↔marketing feedback agents, cross-sell agents) to reduce rep/admin time and improve message quality and consistency. - Partner motion automation tied to partner objects, sourcing taxonomy, and reporting readiness (partner data → dashboards → actions) to improve pipeline attribution and partner execution. • Build and maintain reliable integrations, automations, and data sync patterns across the GTM stack, improving data quality, reducing tool sprawl, and ensuring actions are triggered from trusted signals. • Establish an AI/automation operating cadence for GTM: intake → prioritization → build → QA → release → measure → iterate, with clear owners, SLAs, and documentation to reduce ad hoc requests and rework. • Instrumentation and monitoring for automations/agents (throughput, failure modes, fallbacks, and human-in-the-loop paths) so GTM teams can trust and adopt what’s shipped. • Define and track success metrics for each workflow (time saved, speed-to-lead, conversion lift, pipeline impact, data quality), and partner with Analytics to make results visible in Power BI. • Drive adoption through enablement: stakeholder training, playbooks, change management, and feedback loops that turn prototypes into repeatable, scalable workflows used day-to-day.

About the role This is not a role where you will bolt AI onto an existing product as an afterthought. SqlDBM is rebuilding core workflows around AI — from how data architects design schemas to how engineers validate changes to how governance teams maintain compliance across enterprise environments. You will work at the intersection of .NET backend engineering and applied AI — building the systems that make AI a first-class, reliable, enterprise-grade capability inside one of the most technically demanding categories in data infrastructure. This role sits inside our dedicated AI group and reports directly to senior leadership. You will have a short line to product, architecture, and business decisions — no layers, no queue. The team is small by design, moves fast, and has direct visibility into enterprise customer needs. What makes this role different You are not building a chatbot. You are building AI infrastructure for enterprise data teams — systems that understand schema context, generate governed artifacts, and integrate into the workflows of the world's most sophisticated engineering organizations. The problems are hard. The customers are demanding. The work is meaningful. What you'll do You will own and extend the backend systems that power SqlDBM's AI capabilities. Specific areas include: - AI-assisted data modeling workflows — backend services that allow users to describe their data needs in natural language and receive accurate, governed schema output - Context-aware intelligence — systems that use the full richness of a user's data model, naming standards, and governance rules to produce AI output that is specific to their environment, not generic - Automated documentation and metadata generation — AI pipelines that analyze existing schemas and produce accurate, consistent business documentation at scale - Integration with enterprise AI ecosystems — API layers that allow external AI agents and tools to call SqlDBM as a trusted source of schema context - Consumption tracking and orchestration — backend infrastructure that manages AI request routing, model selection, cost optimization, and usage metering - Governance-aware AI workflows — systems that embed approval, validation, and compliance logic into AI-generated outputs before they reach production - MCP server development — building and extending SqlDBM's Model Context Protocol server so that external AI agents and LLM-based tools can use SqlDBM as a trusted, real-time schema authority - Tech Stack includes: C# / .NET AWS PostgreSQL Redis REST APIs LLM Integration MCP Microservices Our backend is built on modern .NET with a microservices architecture deployed on AWS. AI capabilities are built on top of major LLM providers via API, with proprietary prompt engineering, context management, and output validation layers that are core intellectual property of the platform. Qualifications - 5+ years of backend engineering experience with C# and .NET - Proficiency in English - Strong understanding of REST API design and asynchronous service architectures - Experience integrating with external APIs and managing complex data pipelines - Comfort working with LLMs via API — understanding of prompt construction, context management, token economics, and output validation - Experience building systems that handle variable, structured data — schemas, metadata, or similar - Strong engineering fundamentals — testing, code review, system design, observability - Ability to work independently in a remote-first, fast-moving engineering team Strong Plus - Experience with data modeling, database design, or data engineering tooling - Familiarity with enterprise data platforms — Snowflake, Databricks, dbt, or similar - Background building developer tools or platforms used by technical teams - Experience with agentic AI workflows, tool-use patterns, or AI infrastructure - Knowledge of semantic layer concepts, ontologies, or structured metadata systems - Familiarity with Model Context Protocol (MCP) — building or consuming MCP servers in agentic AI architectures What We Offer - Competitive base salary and equity in a profitable, growing company - Fully remote — work from anywhere - Direct impact on product direction — small team, no layers, your work ships to enterprise customers - Work on genuinely hard technical problems at the frontier of AI and enterprise data infrastructure - Collaborative, engineering-driven culture that moves fast and trusts its people Why now SqlDBM is at an inflection point. We have enterprise customers, a profitable business, and a product that is becoming something significantly more powerful. The engineers who join now will shape what that means and build the systems that define the next chapter of data architecture tooling.

• Set the enterprise AI agent strategy • Define the multi ‑ year vision, roadmap, and success metrics for AI agents and automation across CrowdStrike • Partner closely with business and technology leaders to reimagine how work gets done • Build, mentor, and scale a global AI Agent Developer team • Establish operating models, standards, and best practices for how teams design, build, test, deploy, and maintain agents • Operate comfortably at both strategic and tactical levels • Lead the design and build ‑ out of the core AI agent platform and cloud operating environments • Partner with platform, security, and data teams to define integration patterns • Lead the development of evaluation datasets, monitoring frameworks, and performance metrics for key agents • Be a key leader in the AI Center of Excellence

DeepIntent is leading the healthcare advertising industry with data-driven solutions built for the future. From day one, our mission has been to improve patient outcomes through the artful use of advertising, data science, and real-world clinical data. For more information visit, www.DeepIntent.com. What You’ll Do: We are looking for an Applied AI Engineer to embed directly with our US commercial and operational teams building a human and agentic “operating system” that powers how we work as a company. In this role, you will be a builder and a problem-solver — someone who translates day-to-day operational pain points into practical AI agent and automation solutions that free up capacity for higher-value work. This is an ideal role for someone who is passionate about applied AI, comfortable working across business and technical teams, and excited to see their work make an immediate and measurable impact. Build & Deploy AI Agents and Automations - Design, build, and deploy AI agents that automate administrative and repetitive workflows across commercial operations. - Identify high-value automation opportunities by working directly with stakeholders to map processes and surface inefficiencies. - Develop solutions using LLMs (e.g., OpenAI, Anthropic Claude), workflow automation tools, RESTful APIs, and Python scripting. - Prototype, iterate, and ship working solutions quickly — moving from problem to deployed tool with minimal overhead. Partner with Business Teams - Serve as the technical point of contact embedded within commercial and PMO teams, building strong working relationships with non-technical stakeholders. - Translate ambiguous business needs into clear technical requirements and executable solutions. - Communicate progress, surface blockers, and present solutions in a way that is accessible to both technical and non-technical audiences. Maintain & Document - Create and maintain clear technical documentation for all tools, workflows, and integrations you build. - Monitor deployed solutions and proactively identify opportunities to improve reliability, performance, and adoption. Who You Are - Bachelors or Masters degree in Computer Science, Mathematics or Engineering - Hands-on experience with AI/LLM tools, including configuring and prompting models from providers such as OpenAI or Anthropic (i.e. you’ve successfully shipped a product or feature using Claude Code) - 2+ years of hands-on software development experience, including internships, co-ops, or personal projects with deployed, real-world applications - Comfortable working with RESTful APIs, MCP servers, and integrating third-party services. - Scripting language (i.e. Python) proficiency — you can write scripts, build lightweight automations, and debug independently. - Understanding of prompt engineering best practices. - Naturally curious and proactive — you seek out problems, propose solutions, and don’t wait to be told what to build next. - Strong communicator who can work fluidly across business and engineering functions. - Comfortable with ambiguity — you can scope your own work and adapt as priorities shift. - Based in or able to work effectively within Eastern Time (EST). DeepIntent is proud to offer a competitive compensation package inclusive of a base salary range of $105,000 -$120,000. The base salary range takes into consideration each candidates skills, experience and qualifications. In addition, we offer an annualized bonus plan and competitive benefits as well as many other company offerings. We believe great work starts with great support. That’s why DeepIntent offers a competitive, holistic benefits package designed to empower you both professionally and personally. Here’s what you can expect when you join our team based in the US: Competitive base salary plus performance based bonus or commission, comprehensive medical, dental, and vision insurance, 401K match program, Unlimited PTO policy and paid holidays, remote friendly culture with flexible work options, career development and advanced education support, WFH and internet stipends, plus many more perks and benefits! Here’s what you can expect when you join our team based in India: Competitive base salary plus performance based bonus, comprehensive medical insurance, and paid holidays. Hybrid-friendly culture with flexible work options, professional development reimbursement, WiFi reimbursement and health and wellness allowance plus many more perks and benefits! Here's what you can expect when you join our team based in Europe: Competitive base salary plus performance-based bonus, comprehensive medical insurance, and flexible PTO. Hybrid-friendly culture with flexible work options, professional development reimbursement, WiFi reimbursement, and parental leave plus many more perks and benefits! DeepIntent is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. DeepIntent is an Equal Opportunity Employer, providing equal employment and advancement opportunities to all individuals. We recruit, hire and promote into all job levels the most qualified applicants without regard to race, color, creed, national origin, religion, sex (including pregnancy, childbirth and related medical conditions), parental status, age, disability, genetic information, citizenship status, veteran status, gender identity or expression, transgender status, sexual orientation, marital, family or partnership status, political affiliation or activities, military service, immigration status, or any other status protected under applicable federal, state and local laws. If you have a disability or special need that requires accommodation, please let us know in advance. DeepIntent’s commitment to providing equal employment opportunities extends to all aspects of employment, including job assignment, compensation, discipline and access to benefits and training. CCPA Notice: If you are a California resident applying for a role at DeepIntent, we may collect personal information as part of the application process in accordance with the California Consumer Privacy Act (CCPA). To learn more about the categories of information we collect and your rights, please contact PeopleOps@deepintent.com to see our full Applicant Privacy Notice.