Tempo Software

QA Automation Engineer

• Build a majority-automated IT function
• Identify high-volume, repetitive IT processes — ticket triage and routing, access requests and provisioning, onboarding/offboarding (joiner-mover-leaver), software license assignment, password and MFA resets, and device lifecycle tasks — and automate them end to end.
• Design and ship workflow automation across the IT service management platform (Jira Service Management) including request types, approval flows, SLAs, queues, and automation rules.
• Build integrations between systems (ITSM, IdP, HRIS, endpoint management, and SaaS apps) using APIs, webhooks, and iPaaS / orchestration tooling (e.g., n8n, Workato, Zapier, or Tines).
• Stand up and maintain self-service capabilities so employees can resolve common requests without a human in the loop.
• Define and track automation KPIs — percentage of tickets auto-resolved, mean time to resolution, manual-touch reduction, and deflection rate — and report progress to IT leadership.
• Design and operate AI agents
• Build, evaluate, and maintain AI agents for IT use cases such as intent classification, ticket sizing, auto-response drafting, triage and assignment, knowledge-base curation, and stale-ticket management.
• Implement appropriate guardrails and human-in-the-loop approval gates for any agent action that is employee-facing, security-sensitive, or published to a knowledge base.
• Apply prompt engineering, retrieval-augmented generation, and agent-orchestration patterns; integrate agents with enterprise platforms via APIs and MCP-style connectors.
• Establish evaluation, monitoring, and audit practices so agent behavior remains accurate, safe, and explainable over time.
• Mentor and uplevel the team
• Coach existing systems administrators in scripting, version control, API usage, and automation design so that automation becomes a team-wide capability.
• Establish engineering practices for the IT team: source control, code review, testing, documentation, and safe change management for automations.
• Run knowledge-sharing sessions and pair on builds; create reusable templates, libraries, and playbooks that lower the barrier to automating new processes.
• Champion an automation-first mindset, helping the team evaluate whether a recurring task should be automated before it is staffed.
• Reliability and governance
• Own the lifecycle of automations and agents — monitoring, alerting, error handling, and graceful failure — so automated processes are dependable in production.
• Partner with Security and IT Compliance to ensure automated access provisioning and agent actions meet least-privilege, audit, and separation-of-duties requirements.
• Maintain clear documentation and runbooks so automations are transparent and supportable by the broader team.

Corporate IT Automation Engineer

Machine Learning Engineer

• Signal detection and anomaly detection
• Statistical and ML-based detectors that identify meaningful patterns in portfolio signals — velocity changes, capacity saturation, dependency risks — from CDC event streams and external tool integrations. Not simple threshold alerts; intelligent pattern recognition that knows the difference between noise and a real problem.
• Insight synthesis engine
• An LLM-powered correlation engine that takes raw signals and produces actionable insights with root causes, confidence scores, and evidence chains. Not just “something is wrong” — but “why it’s wrong, what it means, and what you should do about it.”
• Planning Rules compiler
• A translation layer between natural language planning rules (written by portfolio managers) and the structured parameters that drive our Monte Carlo scheduling engine. The LLM interprets intent; the deterministic engine computes schedules. You’ll design how these two layers communicate reliably.
• Evaluation and testing frameworks
• The pipelines that ensure AI outputs are reliable, consistent, and improving over time. Regression suites for prompt changes, A/B testing infrastructure for model updates, confidence calibration — because vibes-based testing doesn’t scale at enterprise scale.
• MCP tool definitions
• LLM-ready tool specs for domain capabilities (Item Store queries, capacity lookups, scenario simulations) that Tempo AI can discover and invoke at runtime within a hub-and-spoke MCP architecture already in production.

Senior AI/ML Engineer

Backend Engineer

• Solving difficult technical problems and coming up with innovative solutions to advance our products as a member of one of our development teams
• Working closely with software engineers to implement versatile solutions to stay ahead of the needs of our customers
• Driving innovation by coming up with new and innovative ideas for our products and processes
• Approaching development issues by being mindful of user experience, performance, quality and security aspects
• Liaising with other developers to promote great software design and quality
• Designing and maintaining APIs
• Launching, iterating and making a difference to the team’s performance and being committed to making our products better for our users

Staff Backend Developer

Artificial Intelligence

• Define and own Tempo’s company-wide AI strategy aligned to business goals and product roadmap
• Identify high-impact use cases across planning, forecasting, resource management, and productivity
• Translate emerging AI capabilities into clear product and platform opportunities
• Act as a thought partner to executive leadership on AI investments and priorities
• Partner closely with Product leadership to define and execute the AI roadmap across Tempo’s product suite
• Drive development of intelligent features such as predictive insights, recommendations, and automation
• Establish a scalable AI platform layer that supports multiple products and use cases
• Ensure AI capabilities are practical, usable, and deliver measurable customer value
• Build and lead a high-performing team across GenAI, Agents, machine learning, data science, and applied AI engineering
• Define operating model, hiring strategy, and capability roadmap for AI at Tempo
• Foster strong collaboration across Product, Engineering, Design, and Data teams
• Elevate AI literacy across the organization
• Partner with Data and Platform teams to ensure strong foundations for AI development
• Drive strategy for data quality, governance, and model lifecycle management
• Ensure scalable, secure, and cost-effective AI infrastructure
• Establish best practices for ethical, secure, and compliant use of AI
• Ensure customer trust through transparency, privacy, and responsible model usage
• Stay ahead of regulatory and industry developments related to AI
• Represent Tempo as an AI leader in the Atlassian ecosystem and broader SaaS space
• Engage with customers, partners, and industry communities
• Bring external perspective on trends, tools, and competitive landscape

VP, AI

Product Manager

• The end-to-end product strategy and roadmap for Loop's Recommendations Skill — from signal to approved action
• Planning rules as a first-class product concept: how organizations define, manage, and version the guardrails that govern when and how recommendations are generated
• The recommendation surface: how Loop presents prioritized, explainable recommendations to the right stakeholder at the right moment — with full reasoning visible
• Governance and approval workflows: how recommendations move through human review, queuing, escalation, and batch approval without creating bottlenecks or losing context
• Batch re-evaluation: how Loop continuously re-scores open recommendations as new signals arrive, ensuring the plan reflects current reality — not last quarter's assumptions
• Competitive analysis integration: how external market signals and competitor movements are weighted into portfolio recommendations
• Discovery with Chief Strategy Officers, portfolio leaders, PMO heads, and enterprise architects who are responsible for keeping large organizations strategically aligned

Product Manager, AI Recommendations – Intelligent Planning

Full-stack Engineer

• Build autonomous AI systems that research prospects, craft personalized messages, and manage follow-up sequences at scale
• Develop sophisticated lead scoring and enrichment pipelines using various 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
• 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 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

Director

• 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.
• 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.
• 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.
• Partner with Content, Demand Generation, Product Marketing, and Sales Enablement so customer stories are used across the business.
• Bring the customer perspective into conversations across the organization.
• Build a community space where Tempo advocates can connect with each other and with us over time.

Director, Customer Advocacy

Frontend Engineer

• Write efficient, readable, maintainable, and testable client-side code using TypeScript, JavaScript and various frameworks
• Create unit tests, sometimes integration and performance tests
• Review your peers' code
• Solve challenging problems with a great attention to user experience, security and performance
• Cooperate with product managers, designers, software developers, QA engineers, and technical writers to develop and maintain the best Atlassian plugins that are used by thousands of people in many big-name companies around the world

Senior Frontend Developer

Sales Development Rep

• Own outbound strategy and execution against a named enterprise target list
• Engage across the full buying committee — economic buyers, technical evaluators, and executive sponsors
• Partner with your Enterprise Account Director on joint account planning and pipeline progression
• Apply rigorous qualification to every opportunity you create — the right personas, real buying signals, and a clear path to progression through the sales funnel
• Consistently deliver against quarterly quota targets, pacing your activity with awareness of seasonal buying patterns — summer slowdowns, holiday cycles, and quarter-end compression
• Maintain clean Salesforce records: account activity, next steps, opportunity linkage
• Use AI to accelerate research and personalization without sacrificing relevance
• Stay current on the Atlassian ecosystem, competitive landscape, and Tempo product updates

Sales Development Representative, Enterprise

Product Marketing

• Own the GTM strategy for our enterprise platform.
• Define our Enterprise and Mid-Market ICPs—from the C-Suite to technical practitioners—and validate our value prop through direct customer interviews and sales feedback loops.
• Partner with our Channel teams to turn the ecosystem into a force multiplier, creating specialized messaging to lead with Tempo in high-stakes enterprise transformations.
• Serve as the "voice of the market" and partner closely with Product Management to influence the roadmap based on enterprise requirements.
• Lead the strategy for enterprise pricing, packaging, and bundling to maximize ACV and simplify the buying process.
• Partner with Sales leadership to arm our teams with high-impact assets: competitive "kill sheets," executive pitch decks, and discovery frameworks that uncover high-value pain points.
• Bridge the gap between technical capability and executive value, ensuring our messaging resonates across the entire buying committee.

Director, Product Marketing

Financial Planning and Analysis

• Drive strategy for finance and budgeting domain while collaborating with Product Managers.
• Work directly with engineering and design from problem definition through feature completion.
• Define how Loop helps organizations set investment thresholds and align budget with actuals.
• Partner closely with Tempo’s integrations team to connect Loop to ERP and financial systems.

FP&A Product Lead, Financial Planning Platform

• Resource management touches nearly every other part of the product. You’ll drive strategy for this domain while working closely with Product Managers across Loop whose work intersects with yours.
• We build in small, dedicated teams. You’ll work directly with engineering and design from problem definition through shipped feature with minimal handoff and maximum ownership. We use AI collaboratively throughout our work to streamline communication and accelerate delivery. This is not a traditional product organization. We move fast, build directly, and expect everyone on the team to close the loop between insight and execution.
• You’ll define how Loop models, surfaces, and helps organizations make decisions about their full workforce capacity:
• - Full-time employees — the core of most capacity plans
• - Temporary and contract workers — time-boxed capacity with distinct cost structures and availability constraints
• - Third-party and partner capacity — vendor relationships, SOWs, and partner ecosystems that are frequently invisible to portfolio tools
• - Gig and on-demand workers — project-specific capacity that is allocated and released rapidly
• - AI-assisted work — human-led work supported by AI tools (agents, automation, assisted workflows): what's in use, at what cost, and how it influences capacity
• - Autonomous AI-powered capabilities — automated pipelines, agentic workflows, and tools that execute tasks autonomously, without a person involved
• Specifically, you’ll own:
• - Product strategy and roadmap for Loop’s resource management and capacity planning capabilities
• - Demand-to-capacity matching: identifying gaps, running scenarios, and supporting allocation decisions across a mixed workforce
• - Skills-based planning: matching the right work to the right resource type, based on a structured skills taxonomy
• - Discovery with Heads of Resource Management, PMO leaders, HR business partners, and workforce planning teams
• - Defining how AI surfaces capacity risk, recommends reallocation, and flags strategic drift before it becomes a delivery problem

Product Lead, Capacity & Resource Optimization

• The end-to-end product strategy and roadmap for Loop's Competitive Intelligence module
• How Loop ingests, structures, and continuously updates competitive intelligence: analyst feeds, market signals, competitor product tracking, pricing movements, and win/loss patterns from CRM
• The executive intelligence surface: how market and competitive context is presented to C-suite and senior portfolio stakeholders — synthesized, visual, and tied directly to portfolio implications
• Sales and revenue intelligence: how win/loss data, deal velocity patterns, and CPQ pricing signals from CRM systems (Salesforce, HubSpot) inform portfolio prioritization and competitive positioning
• Analyst integration: how third-party analyst content (Gartner, Forrester, IDC) and competitive tracking platforms (Crayon, Klue, Kompyte) are structured, surfaced, and connected to planning decisions
• CPQ and pricing intelligence: how quote patterns, competitive price points, and deal configuration data reveal market positioning gaps that should influence the product portfolio
• The competitive signal-to-portfolio pipeline: how external intelligence flows into Loop's Demand and Recommendations Skills and influences initiative prioritization, investment thresholds, and strategic tradeoffs
• Discovery with Chief Strategy Officers, CMOs, VP Sales, product marketing leaders, and competitive intelligence practitioners across enterprise software, technology, and services markets

Product Manager, Competitive Intelligence, Marketing Analytics

Engineering Manager

• Lead one or two engineering teams made up of individual contributors (e.g., software developers, QA specialists, and other technical roles)
• Monitor and optimize team productivity and code quality in an AI-augmented development environment
• Own team delivery outcomes, including processes, communication, and continuous improvement
• Plan and execute objectives aligned to product line goals and broader organizational priorities
• Develop and track projects and initiatives that contribute to product, technology, and departmental outcomes
• Coordinate team execution with minimal supervision, ensuring accountability and progress toward commitments
• Identify and implement improvements to workflows and processes, including recommending improvements outside the team when needed
• Track team capacity, workload, and planning to ensure sustainable delivery and clear prioritization
• Conduct regular 1:1 meetings with direct reports and collaborate with relevant peers
• Drive recruiting efforts to ensure the team is staffed with the skills and talent needed for success
• Evaluate and communicate team member performance, providing coaching and development support
• Define and maintain career paths for engineers, supporting individual growth and long-term professional development
• Provide recommendations on impact and performance to support compensation and talent decisions
• Build an environment that supports morale, retention, and team engagement
• Mentor individual contributors who show potential and interest in developing leadership and management skills
• Identify, manage, and help resolve conflicts within and outside the team while maintaining a neutral and constructive approach
• Provide candid, respectful feedback to team members and cross-functional peers
• Proactively engage with stakeholders outside of the team or department to build relationships, lend support, and ensure alignment
• Ensure visibility of the team’s progress and deliveries to stakeholders outside the team.

Software Development Manager

Marketing

• Lead the Evolution: Move us from "PPM for Jira" to a standalone, agnostic platform. You define how we look, talk, and win in the enterprise market.
• Content Engineering & AI: Transform our content department into a modern media engine. You will lead the team in adopting AI-native workflows to scale quality and reach, ensuring we own the narrative in the age of **Answer Engine Optimization (AEO)** and LLMs.
• The Digital Flagship: Own the Tempo website. You’ll ensure our greatest brand asset is a high-performing, technical masterpiece that converts C-suite interest into action.
• Create with Purpose: Bridge the gap between technical capability and executive value. You’ll produce work that helps a CEO or Head of Strategy understand why Tempo is their most important strategic partner.
• Partner/Customer Advocacy: Leverage the brand equity of our world-class partners and customers to accelerate our own recognition outside the ecosystem.