• Business Process Automation: Design, build, and deploy low‑code automation solutions; migrate legacy bots; integrate with Teams, Azure, Dataverse, SharePoint, and APIs. • Governance & Security: Implement DLP, RBAC, auditing, and change control; optimize performance and reliability. • Team Leadership: Mentor junior builders, lead requirements sessions, and contribute reusable templates/patterns. • Stakeholder Management: Collaborate with business leaders, negotiate trade‑offs, and coordinate with vendors. • System Architecture: Partner with architects to design scalable solutions; provide advanced troubleshooting and root cause analysis. • Risk & Impact Analysis: Manage risks, dependencies, and change requests across complex projects.

• Implement and optimize our AI SRE Teammate to meet the needs of our customers in production and pre-production environments. • Proactively monitor customer deployments (with Ciroos!) to ensure that our customers get the best out of the product. • Use Ciroos to uncover latent reliability issues (misconfigurations, deployment regressions, scaling) of customer environments. • Recommend best practices to customers for implementing the Ciroos AI SRE Teammate in their environment. • Plan, design, build, and maintain highly scalable, reliable, and efficient infrastructure for our AI SRE Teammate. • Serve as the customer’s technical advocate into engineering and product. • Conduct post-incident reviews to identify root causes and implement preventative measures. • Ensure security best practices are integrated into customer deployments. • Train SRE, Ops, and Platform teams at the customer on how to operate with Ciroos AI SRE Teammate. • Lead enterprise migrations onto Ciroos (e.g., replacing incumbent alerting/AIOps platforms such as BigPanda, Moogsoft, PagerDuty, Elastic, or Splunk), including replicating hundreds to thousands of existing correlation rules, running phased cutovers, and hitting hard customer go-live dates. • Design, build, and tune alert normalization and correlation policies—writing conditions and operators (IN / CONTAINS / REGEX), extracting fields from noisy sources (email, Jenkins, CI/CD), and choosing tailored playbooks over catch-all rules. • Integrate Ciroos with the customer’s operational stack—ticketing (e.g., ServiceNow bi-directional sync and field mapping), collaboration (Microsoft Teams / Slack), observability (Dynatrace, Quantum Metric, Databricks), and knowledge sources (GitHub, Confluence)—including any required app-marketplace certification. • Validate and continuously improve investigation quality—diagnosing query-conversion and enrichment errors, unblocking failed investigations, and tuning RCA accuracy so the AI SRE Teammate earns customer trust. • Stand up proactive health monitoring for customer deployments (e.g., real-time Slack status channels, SLA-driven alerts on missing metadata or ticket-creation failures) so issues are caught before the customer notices. • Own customer-facing communications and delivery artifacts—weekly executive status updates, SLA documents, escalation paths, and migration/scope-change tracking—and coordinate daily syncs with customer project leads. • Build long-term technical relationships with senior engineering leaders at customer organizations. • Own customer implementations end-to-end—from technical discovery and solution design through production cutover, UAT, go-live, hypercare, and post-launch stabilization—driving execution independently across customer, product, and engineering threads, and demonstrating MTTR reduction and elimination of manual toil. • Translate messy, ambiguous customer requirements into clear technical designs, milestones, trade-offs, and acceptance criteria, and keep execution truth legible by making blockers, risks, dependencies, and scope changes explicit early with clear owners and next steps. • Design and ship AI-powered investigation and remediation workflows with clear tool boundaries, guardrails, deterministic fallbacks, and human-in-the-loop controls—and define quality controls (versioning, grounding, evals, feedback loops) so the AI SRE Teammate stays trustworthy in production. • Ship reusable deployment modules, reference architectures, runbooks, and cutover plans (“golden paths”) that accelerate future customer work and raise delivery repeatability across accounts. • Own the value case: set impact hypotheses, baselines, and KPIs (e.g., MTTI/MTTR reduction, toil eliminated), run pre-/post-deployment measurement, and report ROI to executive sponsors. • Channel recurring field learnings into roadmap input and product hardening, especially where the same customer pain points show up across deployments. • Contribute to a culture of continuous learning and improvement within Ciroos.

• Design and oversee the implementation of scalable, multi-cloud, and geo-redundant carrier-grade APIs. • Lead development efforts using modern technology stacks, including at least 4 years of Golang and 2 years of Node.js (TypeScript), serverless, and EKS architectures. • Champion and integrate AI development tools and methodologies to enhance engineering productivity and product capabilities. • Establish and enforce industry best practices for the full software development lifecycle (SDLC), including coding standards, CI/CD pipelines, and automated testing. • Collaborate with engineering, product, sales, and business development teams to establish requirements, provide estimates, and meet production deadlines. • Mentor other engineers and drive technical decisions that create future options and align with long-term company goals.

• Own the activation funnel: Rebuild the submission funnel end to end, instrument every step, and run a real experimentation loop, including A/B testing and re-engagement for users who exit without submitting. • Scale acquisition channels: Figure out which channels actually acquire users on both sides (lifecycle, SEO, AEO, paid, mobile ads) and build the machinery to scale the ones that work. This includes agentic optimization: how Alt ranks and shows up in ChatGPT, Claude, Gemini, and other assistants. • Fix the data + attribution foundation: The unlock for everything else. Stand up clean attribution, consolidate our product analytics into a single source of truth, and modernize our messaging and deep-linking stack so we can finally tell what's moving the needle. • Build lifecycle infrastructure: Turn push, in-app, email, and SMS into an owned, instrumented system rather than per-campaign setups, including SMS opt-in compliance. • Balance the marketplace: Watch the balance across bidders, buyers, and sellers, and build growth into the weak side.