Tango

• Rearchitect & Codify the cloud estate on AWS and Azure • Migrate all existing AWS and Azure infrastructure to OpenTofu/Terraform and Ansible; establish module standards, remote state, and GitOps-based plan/apply pipelines • Audit the cloud estate against the AWS and Azure Well-Architected Frameworks; produce a remediation backlog and drive it to completion across networking, IAM, landing zones, account structure, and cost governance • Implement policy-as-code (OPA/Conftest, AWS SCPs, Azure Policy) to enforce security, tagging, and compliance guardrails at the platform layer • Build and maintain reusable Terraform modules for compute, networking, storage, databases, and identity • Define FinOps standards: tagging taxonomy, cost allocation dashboards, and rightsizing recommendations • Design and implement the full observability stack • Define SLIs and SLOs for all platform shared services and critical applications • Establish the SRE practice from scratch: incident runbooks, post-incident review templates, and at least one chaos engineering exercise • Partner with engineering teams to instrument their services and build operational dashboards • Deploy and operate a developer portal as the single front door • Build and maintain golden paths for the highest-frequency developer workflows • Own the CI/CD platform layer: standardized pipeline templates and reusable workflow libraries • Collaborate with peer managers and teams to plan and support migration of existing workloads onto the platform

• Own and execute the Platform roadmap: compute, networking, identity, observability, shared services, and AI/ML tooling across AWS and Azure • Lead cloud modernization against the AWS and Azure Well - Architected Frameworks • Define golden paths - standardized self - service workflows for service scaffolding, DB provisioning, environment spin - up, and AI workload deployment • Drive OpenTofu /Ansible as source of truth for all infrastructure • Own org - wide observability: metrics, logs, traces, and alerting • Build and operate a self - service shared services catalog • Own GPU/accelerated compute, model serving, vector databases • Collaborate on migration program and partner with peer managers to plan and execute structured workload migrations

• Support accounting operations in a high-growth SaaS environment • Execute timely month-end close activities • Prepare and analyze monthly flux analysis • Record and reconcile monthly revenue in accordance with ASC 606 • Support preparation of US GAAP-compliant financial statements • Audit and compliance support • Perform intercompany reconciliations • Collaborate with FP&A, Operations, and Sales

• Own end-to-end design for a product area. • Run discovery with enterprise customers. • Build design system foundations. • Modernize legacy enterprise UX. • Build and validate prototypes. • Partner daily with Product Management, Engineering, QA, and Customer Success. • Communicate design rationale to non-designers. • Advocate for the user.

• Design agent experiences end-to-end. • Run discovery for AI-specific UX problems. • Partner with Product and AI Engineering to define jobs-to-be-done for agent-powered workflows and new product surfaces. • Define trust and transparency patterns. • Build and validate prototypes. • Partner with AI Engineering on interaction paradigms. • Shape design patterns that work across multiple agent domains (lease consolidation, space optimization, energy management) while respecting the differences in stakes, users, and failure modes between them.

• Own a product area end-to-end — discovery, roadmap, prioritization, specs, and delivery for enterprise workflows in real estate transactions, lease analysis, portfolio management, or facilities operations. • Run continuous discovery with enterprise customers — interviews, data analysis, and competitive checks — and translate findings into prioritized roadmap decisions grounded in evidence. • Write clear, well-scoped product specs in an AI-assisted development process. AI tools accelerate the work; you own the judgment, prioritization, and product decisions. • Navigate platform modernization constraints — make sharp trade-off calls between reducing legacy debt and delivering new value while preserving the data models and business rules that make the product a system of record. • Drive cross-functional alignment across Engineering, Design, Sales, and Customer Success. Scope, sequencing, and trade-off decisions are yours to make and communicate. • Connect product work to business outcomes — retention, expansion, annual recurring revenue. Articulate why roadmap decisions matter to the business, not just to the user. • Engage directly with enterprise stakeholders — VP- and Director-level customers managing tens of billions in real estate spend — to validate priorities and maintain ongoing customer relationships.

• Own AI product areas within Tango's intelligence layer • Partner with AI Engineering • Design trust surfaces for enterprise customers • Run discovery with enterprise customers • Define enterprise-grade AI guardrails • Continuously evolve organizational and engineering practices

• Partner with leaders across Finance/RevOps, Go-To-Market, Services, HR/Legal, and Engineering to identify opportunities to embed AI into real operating workflows • Facilitate discovery: map current-state processes, quantify pain points, define “good” outcomes, and translate ambiguous needs into clear workflow requirements • Build and maintain an AI workflow roadmap sequenced by business impact, readiness, and change capacity • Drive build-versus-buy assessments for each opportunity • Lead change management and enablement: run working sessions, produce playbooks, host trainings/brown bags, and coach teams to raise AI literacy • Create reusable patterns and standards for AI in internal tools • Establish operational guardrails for AI-enabled workflows • Define evaluation and monitoring expectations for workflows; implement feedback loops so workflows improve over time.

• Sourcing Work with Hiring Managers to establish the key requirements for the position • Provide quality candidates that meet the specific requirements of each position • Sort through high volume of applicants in a timely manner • Maintain clean and accurate hiring data • Provide weekly recruiting summaries to Hiring Managers (how many resumes reviewed, interviews conducted, and candidates recommended for next step) • Ensure that each applicant receives an email response from Tango within 7 days of submitting their application • Provide candidates with timely and detailed feedback on their application • Provide candidates with a positive and personal introduction to who we are at Tango • Follow up with candidates regularly during the interview process • Maintain postings on LinkedIn, Indeed and our Career Site, adhering to the posting guidelines of Tango • Work with Hiring Managers to ensure that the job description has all of the necessary details to match the talent market • Ensure that candidates are met with professionalism and left with a positive outlook on Tango as a great place to work • Work closely with HR Business Partners to understand the challenges of each business department and ensure that Job Descriptions are accurate and comprehensive • Work with Finance to ensure that salary benchmarks are accurate for the talent market • Deliver an excellent hiring experience from offer to onboarding • Maintain an offer acceptance ratio of >80% • Meet with Hiring Managers & HR Executives to ensure that offers are fully approved prior to sending • Communicate offers to candidates in a manner that is transparent and gets them excited about the opportunity • Develop an onboarding plan for each new hire and maintain regular communication prior to their first day • Submit New Hire tickets to IT to ensure that equipment is setup and ready for their first day • Deliver & schedule all onboarding sessions with new hires during their first week at Tango

• Secure Development & Product Enablement • Integrate security into the software development lifecycle (SDLC) and CI/CD pipelines • Conduct code and dependency scanning using tools like SAST, DAST, and SCA • Perform security design reviews and architecture consultations • Define and implement security controls for AI-powered product features • Enable developers through secure coding guidance, training, and tooling • Mentor security champions across engineering teams to scale security expertise • Threat Detection & Response • Collaborate with other security engineers on threat detection and incident response • Support vulnerability triage and remediation across applications • Partner with Engineering and Product teams to embed secure-by-design practices • Perform post-incident reviews and drive remediation of root causes • Security Program Development • Lead product security assessments and coordinate remediation efforts • Contribute to the development of secure architecture patterns, standards and privacy-by-design guidelines • Help shape the future of application security as we scale and innovate • Ensure application security meets regulatory and customer compliance requirements (SOC 2, ISO 27001, HIPAA, GDPR, etc.) • Partner with Legal, Privacy, and Compliance teams to implement secure data handling and data protection practices • Metrics & Continuous Improvement • Define and track metrics (KPIs) to measure the effectiveness of the application security program, such as vulnerability remediation times and developer training coverage. • Report application security posture, risks, and trends to leadership