Tempo Software

Financial Planning and Analysis

• Own the R&D financial model (headcount, capacity, investment prioritization)
• Build and/or orchestrate planning cycles (annual plan, reforecasts, weekly flash) across R&D and Customer
• Partner with the CCO on Customer Success and Support forecasting, capacity, and performance
• Deliver insights on core SaaS metrics (retention, churn, expansion, cost-to-serve, support efficiency)
• Inform topline assumptions based on customer behavior, product usage, and operational drivers
• Support quarterly business reviews and development of board-level materials
• Partner with Cloud Operations to forecast and manage cloud and AI costs
• Drive visibility into cost drivers and identify efficiency opportunities
• Build and/or orchestrate business cases, scenarios, and sensitivity analyses
• Act as a strategic thought partner to R&D and Customer leadership on resource allocation and ROI
• Design, build, and orchestrate AI-driven workflows across forecasting, reporting, and variance analysis
• Translate finance processes into structured, modular workflows for agent execution
• Orchestrate multi-step, agent-driven processes across interconnected workflows
• Act as human-in-the-loop owner (output validation, exception handling, continuous improvement)
• Replace manual processes with orchestrated agent workflows to scale output without linear headcount
• Integrate data pipelines with AI and orchestration layers (Finance Systems, BI, RevOps, Accounting, HR, etc.)
• Continuously improve workflows through prompt refinement and orchestration optimization
• Partner with Accounting to ensure accurate expense classification and allocations during close
• Align financial data with operational drivers (headcount, cloud usage, vendor spend)
• Build and/or orchestrate accruals, reclasses, and variance explanations
• Establish and enforce data governance and documentation standards across systems
• Ensure data structures are clean, consistent, and automation-ready for AI workflows
• Identify and resolve data issues impacting forecasting, reporting, or automation accuracy
• Deliver monthly reporting, variance analysis, and performance insights
• Support weekly, monthly, and quarterly financial cadences (flash, forecast, close)
• Support quarterly business reviews and board deck materials
• Partner with BI/RevOps to improve data quality and reporting automation
• Leverage AI tools to accelerate analysis and insight generation

Senior Financial Analyst – R&D, Customer Success

Sales

• Own and exceed partner-sourced and partner-influenced revenue targets
• Build joint go-to-market (GTM) plans with key partners
• Identify new partnership opportunities to expand Tempo’s ecosystem
• Recruit, onboard, and develop high-performing partners
• Deliver training, sales plays and enablement resources
• Act as the primary point of contact for strategic partner relationships
• Collaborate with partners to generate qualified pipeline
• Support deal cycles alongside partners (co-selling, deal strategy, etc.)
• Ensure strong partner engagement across the full sales funnel
• Work closely with Sales, Marketing, Customer Success and Product teams
• Align partner initiatives with broader company GTM strategy
• Provide feedback from partners to inform product and positioning
• Help shape and evolve Tempo’s partner program (incentives, tiers, certifications)
• Track and optimize partner performance metrics
• Scale repeatable processes for partner success

Partner Sales Manager

Manager

• Design and launch Tempo’s customer advocacy program: how it’s structured, how advocates are recruited and recognized, and how we measure whether it’s working
• Own the tech stack decisions that make this program run. You’ll evaluate, select, and implement the right platforms, with an eye toward AI-powered tools that automate the manual work, like intelligent reference matching, advocate identification from health and sentiment signals, and AI-assisted content production
• Set goals, measure results, and report progress to leadership regularly
• Work with Customer Success to identify customers who are seeing real value from Tempo and are open to sharing their experiences
• Build real relationships with those customers, not just reaching out when you need something
• Develop a mix of advocates across industries, company sizes, and use cases so Sales always has a relevant, well-matched reference to share
• Work with customers to produce case studies, video stories, and written testimonials that show what Tempo actually delivers for real teams
• Grow the volume and quality of Tempo’s reviews on sites like G2 and TrustRadius
• Find and prepare customer speakers for webinars, events, and other marketing programs
• Make sure Sales has what they need for active deals, with the right advocate matched to the right opportunity automatically, not by you hunting through a spreadsheet
• Partner with Content, Demand Generation, Product Marketing, and Sales Enablement so customer stories are used across the business, not just sitting in a folder somewhere
• Bring the customer perspective into conversations across the organization
• Over time, build a community space where Tempo advocates can connect with each other and with us

Senior Manager, Customer Advocacy

Data Engineer

• Architect and implement the unified GTM data spine across CRM, marketing automation, product telemetry, billing, enrichment providers, partner data, and the warehouse.
• Establish identity resolution, deduplication, and source-of-truth logic across systems.
• Define canonical schemas that we’ll use to operate the business, enable AI across teams and drive results.
• Build scalable ELT/ETL pipelines and orchestration workflows tailored to revenue activation.
• Implement governance, lineage, access control, and quality monitoring for GTM data assets.
• Partner closely with the BI / enterprise data team to align on shared infrastructure while owning GTM-specific models and activation layers.
• Develop and productionize segmentation and scoring models (ICP scoring, ABM prioritization, expansion propensity, trial health, pipeline likelihood).
• Apply statistical and machine learning techniques to improve scoring, targeting, routing, and revenue predictability.
• Design experimentation and measurement frameworks for GTM programs.
• Operationalize predictive outputs directly into GTM systems via agents, reverse ETL, or custom integration (Salesforce workflows, outbound automation, lifecycle programs, ABM platforms, partner programs).
• Architect customer and prospect intelligence systems integrating first-party, enrichment, and ecosystem signals.
• Develop frameworks for ecosystem intelligence (partner influence, marketplace signals, derived demand).
• Enable real-time or near-real-time signal activation to sales and marketing teams.
• Design structured data systems that power future AI-driven revenue workflows.
• Manage and direct external agency/consulting partners executing against the GTM data roadmap.
• Establish architectural standards and technical review processes.
• Define the build vs. buy strategy for GTM data systems.
• Develop the long-term roadmap for in-house data capability.

Principal GTM Data Engineer – Architect

Product Manager

• Define and execute the long-term product strategy and roadmap for Insights, aligned with company and portfolio goals
• Deliver actionable, decision-ready insights that help users evaluate trade-offs, identify risks, and prioritize work more effectively, enabling smarter, data-informed planning decisions
• Identify and define new insight-driven features, recommendations, or signals that directly aid users in improving planning accuracy and strategic alignment
• Work closely with engineering, data, and design to deliver scalable, performant analytics capabilities
• Define success metrics, analytical frameworks, and data models that ensure insights are accurate, explainable, and trusted
• Collaborate with senior leadership and other product areas to ensure a cohesive end-to-end portfolio experience
• Lead prioritization, trade-offs, and release planning to balance short-term customer wins with long-term platform investments
• Establish mechanisms to measure product adoption, impact, and customer value

Senior Product Manager – Insights

Growth Marketing

• Build, manage, and optimize the trial onboarding email flows using Braze to nurture users and increase trial-to-paid conversion rates.
• Design and implement in-app trial onboarding journeys using tools like Appcues and Chameleon to guide users through activation and adoption.
• Partner with Growth Product Managers to support key cross-sell initiatives with lifecycle campaigns.
• Monitor and analyze onboarding flows to identify friction points and areas for improvement, iterating based on data-driven insights to enhance conversion performance.
• Partner with Product Marketing and Product Management teams to ensure all onboarding content is accurate, engaging, and aligned with user needs.
• Work closely with the Creative team to develop visually compelling and brand-aligned imagery and assets for onboarding campaigns.
• Collaborate with RevOps and BI teams to ensure proper data integration, segmentation, and reporting, enabling personalized and effective onboarding experiences.
• Define and track KPIs for onboarding flows, including activation rates, conversion rates, and user engagement, to measure success and report results to key stakeholders.

Senior Growth Marketing Manager

Attorney

• Own and negotiate SaaS commercial agreements, including MSAs, SOWs, DPAs, partner agreements, reseller and marketplace contracts
• Advise on product terms, pricing models, and go-to-market motions
• Support procurement and vendor contracting
• Balance speed and risk appropriately for a high-growth SaaS business
• Support privacy compliance (e.g., GDPR, CCPA) in partnership with Security and Product
• Review and manage DPAs and security addenda
• Advise on IP matters, licensing, open-source usage, and product development issues
• Advise on employment matters (U.S. and limited international), including policies, employee agreements, and terminations
• Partner closely with HR on people-related legal questions
• Manage immigration/EOR-related issues as needed (via outside counsel)
• Support routine corporate legal needs (subsidiaries, filings)
• Partner with Finance on compliance, risk management, and audit-related legal questions
• Coordinate with outside counsel where appropriate and manage spend thoughtfully
• Triage what should be handled internally vs. externally
• Help reduce legal spend through better scoping and internal ownership

Director of Legal

Full-stack Engineer

• Build autonomous AI SDRs that research prospects, craft personalized messages, and manage follow-up sequences at scale
• Develop sophisticated lead scoring and enrichment pipelines using Clay data providers and waterfall enrichment methodology
• Create AI-powered personalization engines using LLMs for dynamic content generation across all touchpoints
• Design intent-based trigger systems that identify and act on buying signals automatically
• Implement in-app and chat automations that guide users through their journey and capture expansion opportunities
• Develop RAG applications and vector databases (using Supabase) for intelligent content retrieval and account intelligence
• Create real-time dashboards tracking pipeline velocity, conversion rates, and revenue efficiency metrics
• Implement predictive models for churn prevention and expansion opportunity identification
• Design automated lead routing logic that considers rep expertise, capacity, and historical performance
• Create customer lifecycle triggers that identify upsell opportunities and prevent churn
• Design and implement a composable GTM architecture using n8n as the central orchestration platform, connecting tools in our revenue stack
• Build event-driven workflows that respond to buyer signals in real-time (e.g., pricing page visits trigger instant enrichment and personalized outreach)
• Create reusable automation patterns and maintain APIs

GTM Engineer

• Own a Product Area
• Take ownership of the capacity planning experience, including backlog prioritization, feature scoping, and release planning. Translate customer needs and product goals into clear deliverables and outcomes.
• Drive Execution
• Run sprint planning and backlog refinement with your engineering team. Break down ambiguous problems into actionable stories and ensure work progresses smoothly from concept to release.
• Work Closely with Engineering
• Collaborate directly with engineers during development. Clarify edge cases, sequence work, resolve tradeoffs, and help unblock implementation decisions.
• Define Requirements & Workflows
• Write clear product requirements and acceptance criteria. Partner with design to shape workflows that reflect real-world planning and staffing scenarios.
• Understand Customer Planning Behavior
• Regularly engage with customers (team leads, project managers, and operations leaders) to understand how they allocate people, manage workload, and adjust plans. Use these insights to prioritize improvements.
• Use Data to Guide Decisions
• Define success metrics, analyze usage patterns, and evaluate whether features improve planning reliability and customer outcomes.
• Coordinate Across Teams
• Work with adjacent product teams to ensure capacity planning integrates naturally with time tracking, reporting, and broader planning workflows.
• Launch & Iterate
• Partner with support, marketing, and customer-facing teams during releases. Follow through after launch to measure adoption, address gaps, and improve the experience.

Product Manager – Capacity Planner

• Own and evolve the product vision for Tempo’s Project & Portfolio Management (PPM) solutions, connecting strategic planning, portfolio prioritization, resource capacity, financial tracking, and execution data into a unified system.
• Drive end-to-end roadmap ownership across multiple interconnected products.
• Design capabilities that help organizations answer critical questions: Are we working on the right initiatives? Do we have the capacity? Are we on track? Are we delivering value?
• Build a deep understanding of how portfolio managers, PMOs, and engineering leaders plan and operate at scale through customer interviews, discovery sessions, and usage analysis.
• Partner closely with engineering, design, and other product teams to deliver connected experiences.
• Lead the evolution of planning and reporting capabilities, including forecasting, portfolio health indicators, and executive insights.
• Collaborate with other Product Managers to ensure consistency across the Tempo ecosystem.