Tango

Account Executive

• Own the sales cycle: qualification → proposal → negotiation → close
• Consistently deliver against a high-performance quota
• Sell multi-module SaaS solutions into enterprise buying committees
• Engage senior stakeholders including C-suite, SVP, and VP-level executives
• Generate opportunities through outbound outreach, inbound leads, partners, referrals, and events
• Partner closely with Sales Engineering, Marketing, and Leadership to advance deals
• Build and maintain a 4× quota pipeline through outbound activity and inbound follow-up
• Maintain accurate pipeline hygiene, deal stages, and forecasting in Salesforce
• Lead structured discovery conversations to uncover strategic, financial, and operational issues
• Align Tango’s platform to clearly defined customer outcomes
• Develop compelling business cases that demonstrate ROI, risk reduction, and enterprise value
• Navigate complex buying processes using MEDDPICC-aligned qualification

Senior Account Executive – SaaS

Product Designer

• 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).

Senior Product Designer, AI Division

• Own end-to-end design for a product area — problem framing through wireframes, prototypes, detailed specs, delivery QA, and iteration for enterprise workflows used by lease administrators, portfolio managers, and facilities teams.
• Run discovery with enterprise customers — interviews, usability tests, and workflow observation — and translate findings into design decisions that shape what gets built, not just how it looks.
• Build design system foundations — identify reusable patterns, document components, and contribute to the Tango Design System alongside the Director of Product Design and other designers.
• Modernize legacy enterprise UX — redesign workflows that work but frustrate, within real constraints: data models that can't change overnight, user habits with embedded muscle memory, and migration paths that don't break production.
• Build and validate prototypes. Use AI-powered design and prototyping tools to create coded prototypes for user testing and ship design artifacts directly into the development pipeline.
• Partner daily with Product Management, Engineering, QA, and Customer Success. Communicate design rationale to non-designers. Advocate for the user when it's uncomfortable. Use AI-powered design tools as standard practice for research synthesis, design iteration, prototyping, and cross-team documentation.

Product Manager

• 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.

Senior Product Manager, AI Division

Technical Recruiter

• 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

Analytics Engineer

• Partner with product, business, and engineering teams to identify data needs, define metrics, and enable data-driven decision making
• Design, build, and own scalable data pipelines and data models that power analytics, reporting, and product insights
• Develop and maintain core datasets for financial and usage behavioral analytics, enabling deep understanding of customer behavior, product adoption, and business performance
• Help define, instrument, and validate product and business metrics, including those exposed in customer-facing dashboards
• Drive improvements in data quality, reliability, and observability, including ownership of SLAs for critical pipelines
• Collaborate with engineering teams to evolve data models alongside product changes
• Contribute to the definition of our analytics layer (e.g., dbt models, semantic layer, metric definitions)
• Create and maintain clear technical documentation and data contracts

Senior Analytics Engineer

Security Engineer

• 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

Senior Security Engineer

DevOps Engineer

• 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

Senior Site Reliability Engineer

Platform Engineer

• 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

VP of Platform Engineering

Revenue Operations

• 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