• Design, develop, test, debug, and maintain software applications and systems. • Participate in the full software development lifecycle (SDLC), including requirements analysis, design, development, testing, and deployment. • Implement enhancements, upgrades, and patches to existing applications. • Diagnose and resolve system defects, performance issues, and production incidents. • Ensure application performance, reliability, and quality standards are met. • Contribute to continuous improvement through research and application of new and existing technologies. • Participate in proof-of-concept (POC) efforts to evaluate solutions supporting business and technology initiatives. • Work closely with cross-functional teams to gather requirements, analyze user needs, and deliver effective solutions. • Provide guidance and feedback to junior engineers and contribute to team knowledge sharing. • Maintain and support existing applications, ensuring ongoing stability and performance.

Role Description - Perform assigned day-to-day operations of ServiceNow platform. - Maintain the stability and usability of the platform across production and non-production environments. - Perform application maintenance to include performance monitoring and error identification and remediation. - Support troubleshooting and resolution of ServiceNow platform incidents. - Contribute to ServiceNow version upgrade execution. - Manage ServiceNow instance security: user/group access, administration, access control lists, etc. - Provide configuration assistance to ServiceNow developers. Qualifications - ServiceNow CSA certification. - Sound knowledge on ServiceNow platform and products. - Above average communication skills to handle client interactions. - Hands-on experience with ServiceNow administration, ITSM, integrations, code reviews & migrations. Requirements - Support hours: 9-5 Central Time, with occasional support over the weekend.

Role Description We are looking for a software engineer to join our Streaming Systems team, working on the high-throughput systems that collect, forward, and perform real-time computation on billions of behavioral events from our customers’ users. You'll be building the infrastructure that ingests clickstream, product interaction, and transactional data into our platform. This data is the platform for our “Cursor for Marketers” AI agent product. - Our streaming products’ revenue has 10x’d over the past year, and we need to ensure that we continue to scale. - Our infrastructure needs to handle millions of messages per second at single second latency end to end. - Recently, we added a computation engine that allows personalizing user experiences in real-time based on live behavior; we’re seeing 7-figure market response in the first few months and need to scale up to meet demand. - We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. - You will own and deliver projects from start to finish, work directly with customers to solve their hardest scaling problems, and have significant influence over our technical roadmap. The base salary range for this position is $180,000 - $320,000 USD per year, which is location independent in accordance with our remote-first policy. A large portion of the compensation will be in the form of equity via ISO options. We offer early exercise and a 10 year post-termination exercise window. Qualifications - You are an engineer with a passion for solving hard technical problems that generate real value for customers. - You’re motivated by high ownership and are comfortable in a fast-paced, startup environment. - You have experience and comfort with distributed systems and high-scale systems or the ability and desire to build this experience quickly. - Some useful, but not necessary, experience: - Experience with streaming systems like Kafka, Kinesis, Pulsar, Warpstream. - Experience with high RPS, low p99 latency systems. Requirements - Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. - We will ask you questions, but we want you to ask us questions! - Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. - We don’t ask you to write code to solve technical brainteasers that don’t appear in your day to day job. Benefits - We have limited inbound applications to one application per candidate. - You will be auto-rejected if you apply to multiple roles. - Please only apply to the position you are most qualified for. Interview Process - Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit. - System Design Screen [45m]: Designing a data processing feature end-to-end. - Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles. - System Design Interview [90m]: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical. E-Verify Statement Hightouch participates in E-Verify. We will provide the Social Security Administration, and if necessary, the Department of Homeland Security, with information from each new employee’s Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants.

• Design & Deploy: Build AI-driven automation and autonomous agents for repetitive tasks, research, data processing, and decision support. • Orchestration: Develop and manage AI agent orchestration using platforms such as Anthropic Claude, Azure AI, and OpenAI. • Workflow Optimization: Build and maintain automation workflows using Microsoft Power Automate (Cloud and Desktop). • M365 Integration: Integrate solutions with Teams, SharePoint, Outlook, Excel, and Dataverse. • Azure Architecture: Implement solutions using Logic Apps, Azure Functions, and AI Services. • Subject Matter Expert: Lead efforts in Microsoft Power Platform (Power Apps, Power BI, Copilot Studio) and Anthropic Claude API (prompt engineering). • Governance & Compliance: Ensure all solutions comply with data privacy, security, and responsible AI standards. • Metrics: Define and track KPIs to measure automation performance and efficiency gains.