Tango

• Own a product area end-to-end • Run continuous discovery with enterprise customers • Write clear, well-scoped product specs • Navigate platform modernization constraints • Drive cross-functional alignment across Engineering, Design, Sales, and Customer Success • Connect product work to business outcomes • Engage directly with enterprise stakeholders

• Own AI product areas within Tango's intelligence layer: define what to build, write acceptance criteria including accuracy thresholds and human-in-the-loop requirements, and ship features with the AI Engineering team. • Partner with AI Engineering as a peer. Earn credibility through product judgment and evaluation standards. • Design trust surfaces for enterprise customers: confidence disclosure, citation standards, audit trails, and explainability are product decisions you own. • Run discovery with enterprise customers through design partner conversations, usage data analysis, and competitive landscape tracking. • Frame AI investment in customer outcome terms: retention impact, expansion signal, time-to-value. • Define enterprise-grade AI guardrails: confidence thresholds, latency requirements, and human-in-the-loop triggers appropriate for customers with compliance obligations. • Continuously evolve organizational and engineering practices to support and grow the Tango intelligence layer.

• Ship AI tools that move function KPIs • Build and ship internal AI tools and automations • Define a named owner function for each shipped tool • Establish eval harnesses and monitoring • Operate as a force multiplier through AI agents • Maintain and continuously upgrade a personal AI-engineering setup • Architect the AI platform layer for Tango • Drive shared AI architecture decisions across teams • Track frontier-model capability • Embed across function clusters to land AI in real workflows

• 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

• Own the design, configuration, and ongoing improvement of endpoint protection and EDR tooling across the organization • Administer and optimize zero-trust networking and identity tooling (policy design, tuning, and operational resiliency) • Partner with IT to define and execute IAM strategy (joiner/mover/leaver, privileged access, MFA, conditional access, SSO) • Establish operational standards (runbooks, playbooks, SLAs) for corporate security tooling and support workflows • Leverage automation and AI-driven capabilities to reduce manual effort and improve detection, response speed, and consistency • Lead incident response planning, execution, and post-incident reviews; drive improvements based on lessons learned • Develop and tune detections (alerts, rules, behavioral analytics) and ensure high signal-to-noise monitoring • Own threat intelligence collection, analysis, and internal dissemination; translate intel into actionable controls • Coordinate cross-functional response efforts (IT, Engineering, HR, Legal, vendors) during security events • Perform root-cause analysis for recurring security issues and drive corrective and preventative actions • Own security training and phishing simulation programs; analyze results and improve effectiveness over time • Serve as escalation point for internal security requests and support tickets; improve user experience of security controls • Provide security guidance to teams to enable productivity while maintaining appropriate risk controls • Define, track, and report KPIs that measure control effectiveness (coverage, MTTD/MTTR, phishing resilience, patch/EDR compliance) • Communicate security posture, risks, and trends to leadership with clear recommendations and prioritized roadmaps • Identify and deliver improvements to visibility, automation, scalability, and resilience of security operations

• Own reliability outcomes for Tango’s cloud platform (availability, latency, performance, and scalability) across production and non-production environments • Design, implement, and operate SLOs/SLIs, error budgets, and reliability reporting; drive prioritization of reliability work with Engineering and Product • Build and maintain observability foundations: metrics, logging, tracing, dashboards, and alerting that are actionable and reduce noise • Lead incident response and post-incident reviews (blameless RCAs); implement remediation and prevention work to measurably reduce repeat incidents • Engineer and evolve CI/CD and release safety practices (progressive delivery, canary/blue-green, automated rollbacks, change controls) • Improve infrastructure-as-code and environment consistency; standardize and harden platform components • Partner with Security and Compliance to support secure operations, vulnerability remediation, audits, and customer trust requirements • Optimize cloud cost and capacity through right-sizing, autoscaling, and performance tuning; track and report on cost drivers • Enable engineering teams with reliable internal tooling, runbooks, and self-service operational capabilities • Mentor engineers on reliability best practices, operational excellence, and automation

• Define how revenue is generated, measured, and improved across Marketing, Sales, and Customer Success • Establish unified definitions, stage logic, and conversion accountability across the full funnel • Build clean handoffs and consistent execution across the revenue cycle • Own the forecasting model end-to-end; drive trust through accuracy • Ensure pipeline integrity (pipeline as a signal, not a debate) • Partner directly with the CFO on revenue planning, ARR modeling, quota construction, and board-level performance tracking • Own and explain GDR, NRR, and Rule of 35 metrics • Lead AI-native reinvention in team execution • Identify and deploy agentic automation across lead routing, rep workflows, renewal signals, and health scoring • Stand up and run a cross-functional Deal Desk • Drive CPQ evaluation and implementation • Lead a ~5-person Sales Ops + Marketing Ops team; elevate from execution to strategic impact • Own and optimize core systems: Salesforce, HubSpot, and Gong

• Own the strategy and execution for cloud modernization, including re-platforming legacy systems, standardizing deployment patterns, and improving scalability and resilience • Build and evolve core platform capabilities such as CI/CD, infrastructure automation, environment management, and service tooling • Drive architectural consistency across a growing B2B SaaS platform while enabling team autonomy • Establish and lead a Shared Services engineering team responsible for foundational platform services, focusing initially on identity, authentication, and authorization • Define ownership boundaries between shared services and application teams, emphasizing enablement over control • Partner closely with product and application engineering teams to drive adoption of shared services through strong APIs, documentation, tooling, and developer experience • Treat shared services as internal products: define roadmaps, SLAs, reliability expectations, and success metrics • Establish reliability engineering practices including SLOs/SLIs, error budgets, incident response, postmortems, and capacity planning • Improve observability and operational readiness through monitoring, alerting, tracing, and runbooks • Work with application teams to improve operability, resilience, and production readiness through better design patterns and automation • Lead and grow teams across platform engineering, shared services, and DevOps/SRE • Build a performance-oriented culture rooted in learning, coaching, and accountability • Define and track platform success metrics such as reliability, developer satisfaction, delivery speed, and operational efficiency • Partner with Engineering, Product, and Architecture leadership to align platform investments with business outcomes

• Own end-to-end product delivery for an assigned platform area — legacy modernization, data infrastructure, integrations, or cross-cutting platform work. • Build credibility with Engineering by shipping. • Write specs technical enough for Engineering to execute with confidence — clear data models, well-scoped requirements, and documented trade-off decisions. • Serve as the connective tissue between Engineering, Data Science, Customer Success, and leadership — translate the complex for both technical and non-technical stakeholders, including at the executive level. • Use SQL and data tooling independently for analysis and discovery; evaluate API specs without engineering translation; bring quantitative rigor to prioritization. • Own Tango's AI/data product strategy across all segments — retail site intelligence, corporate real estate, energy & sustainability — and build the roadmap to deliver it. • Directly PM Tango's ML team — own the ML product roadmap, shape requirements for ML-powered features, evaluate model capabilities and limitations, and define success metrics grounded in measurable user outcomes, not model accuracy alone. • Own AI evaluation standards: define accuracy thresholds, hallucination tolerance, latency SLAs, and human-in-the-loop requirements before any capability ships to production. • Drive customer discovery with rigor — maintain active design partner relationships, document what changes roadmap direction, and build validated signal from real usage, not just stakeholder opinion. • Anchor the AI/data roadmap to measurable customer outcomes — adoption, retention impact, time-to-value. • Implement enterprise-grade AI guardrails: confidence thresholds, audit trails, and citation standards appropriate for enterprise customers with compliance obligations. • Identify and evaluate integration and partnership opportunities that extend Tango's platform value, particularly where AI or data capabilities are the differentiator. • Frame the business case for AI/data investment in customer outcome terms — retention, expansion, time-to-value — not technology for its own sake.

• Own platform and cloud architecture • Drive cloud modernization initiatives • Establish reliability and operational excellence • Enable government cloud readiness (FedRAMP) • Raise the bar through standards and mentorship