Tempo Software

Business Development Rep

• own the end-to-end activation of new hyperscaler and platform ecosystems, starting with AWS and Microsoft — building the relationship, the paperwork, and the go-to-market plan from the ground up.
• Get Tempo listed and transactable on relevant marketplaces (e.g., AWS Marketplace, Azure Marketplace / AppSource), including private offers and co-sell program enrollment (e.g., AWS ACE, Microsoft Partner Center).
• Build GTM motions directly with each ecosystem owner's partner and channel teams, identifying the programs, incentives, and joint-selling mechanics that will drive real pipeline.
• recruit and activate the ecosystem owner's services partners — regardless of whether they're existing Tempo or Atlassian partners — to sell and deliver Tempo alongside their hyperscaler practice.
• Define and track partner-sourced and partner-influenced pipeline for each new ecosystem, and report progress and results to Tempo's leadership team.
• Establish pipeline review cadences and reporting frameworks as each new ecosystem matures, ensuring visibility and accountability.
• coordinate with Tempo's AEs, SEs, and Marketing to build joint campaigns, co-sell plays, and enablement content tailored to each new ecosystem.
• Represent Tempo at hyperscaler partner events, summits, and marketplace programs to build visibility and relationships in each new ecosystem.
• Work with Product and Engineering to prioritize the integrations and technical requirements each marketplace and co-sell program needs.
• Use AI day-to-day to research and prioritize new partners and prospects, pull together GTM and enablement content faster, and keep pipeline reporting current across multiple ecosystems at once.

Ecosystem Business Development Manager

Account Manager

• Own and scale Tempo's global partner marketing strategy
• Drive measurable partner-influenced pipeline and revenue growth through ecosystem of Channel and Marketplace Partners
• Manage a direct report based in EMEA and work closely with Channel Sales and Partner Enablement team
• Partner closely with established Partner Enablement team to co-develop onboarding tracks, sales playbooks, pitch decks, and competitive battle cards
• Manage the partner portal, ensuring it is stocked with marketing assets and campaign kits
• Drive regular marketing communications, including partner newsletters and program announcements
• Design and execute integrated co-marketing campaigns
• Partner with Product Marketing to craft compelling narratives that show unique value
• Plan and execute targeted field marketing events
• Coordinate Tempo’s presence at major industry trade shows and ecosystem user groups
• Develop scalable campaigns-in-a-box and co-brandable asset templates for partners

Senior Manager, Partner Marketing

Program Manager

• Own end-to-end program management for large-scale product initiatives
• Build and maintain master program plans, track milestones and dependencies
• Facilitate alignment across departments, translating complexity into clear priorities
• Monitor and report on customer- and partner-facing readiness
• Proactively identify risks and work with stakeholders on contingency plans
• Define program success criteria and communicate progress clearly to leadership
• Lead post-launch retrospectives to capture learnings
• Use AI tools to streamline program management
• Drive continuous improvement in Product Operations

Senior Program Manager

Customer Success Manager

• Own the post-sale customer lifecycle across a portfolio of enterprise accounts.
• Lead strategic conversations with stakeholders around planning, prioritization, and value realization using Tempo’s award winning suite of solutions
• Drive GRR and NRR by managing renewals, surfacing expansion opportunities, and proactively mitigating risks.
• Work smarter with AI: use Tempo's AI-assisted Customer Success tooling to take the repetitive work off your plate (data prep, call notes, account-health signals, forecast inputs), reinvest that time in your customers, and share the frontline feedback that makes those tools sharper.
• Facilitate regular business reviews and outcome-focused success planning sessions directly with customer champions and decision makers.
• Work closely with operational users (such as project and program managers, Jira admins, and agile team leads) to guide adoption and remove friction points in the user base.
• Deliver best practices tailored to persona and industry that move customers toward their target outcomes across portfolio, project, and resource management workflows.
• Accurately forecast renewals and lead commercial discussions in partnership with Sales.
• Document customer goals, usage trends, risks, and outcomes with discipline and clarity on a continuous basis, using Gainsight Success Plans, Verified Outcomes, and Risk CTAs to keep account status current and actionable.
• Collaborate with Product and Sales to ensure a smooth, unified customer experience.
• Identify and help craft customer stories and case studies with the goal of highlighting their successes and raising awareness of our solutions.

Senior Customer Success Manager

Cloud 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 Full Stack Developer – Cloud

Backend Engineer

• Write efficient, readable, maintainable, and testable code using Kotlin, Java, and other server-side languages and 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 Backend Developer

QA Engineer

• Plan testing activities, participate in an iteration, and release planning
• Requirements testing, performance testing, compatibility, and integration testing on the system level
• Exploratory and scripted testing of all our products
• Triage of found issues
• Communicate with product managers, designers, software developers, other QA engineers, and technical writers

QA Analyst

Product Operations

• Partner with the CPO and product leadership team to define, track, and operationalize product strategy across the organization.
• Own the product operating cadence: QBRs, planning cycles, leadership offsites, and cross-functional rituals.
• Build and maintain dashboards and reporting frameworks that give leadership real-time visibility into portfolio health, team capacity, and delivery performance.
• Drive alignment across Product, Engineering, and GTM on priorities, roadmap milestones, and resource allocation.
• Champion the integration of AI tools and workflows into Product Operations, including automated reporting, intelligent prioritization support, and AI-assisted research synthesis.
• Partner with Engineering and Platform teams to identify where AI can reduce operational overhead in product delivery workflows.
• Develop a framework for how product managers use AI in discovery, spec writing, and iteration, and drive adoption of best practices across the org.
• Stay ahead of emerging AI capabilities and translate them into operational improvements that give Tempo’s product teams a competitive edge.
• Own the Product team’s core toolstack and ensure PMs and designers have the systems they need to do their best work.
• Design and implement scalable processes for roadmap management, intake, prioritization, and cross-team dependency tracking.
• Build and run the onboarding and enablement programs for new product hires, ensuring ramp-up is fast and consistent.
• Identify and close operational gaps before they become organizational bottlenecks.
• Build the data and insights infrastructure that connects product decisions to customer outcomes and business results.
• Own the voice-of-customer synthesis process, ensuring product leadership has a regular, structured view into customer feedback, NPS signals, and support trends.
• Work with Data and Analytics to instrument key product metrics and make them accessible to the broader product team.

Head of Product Operations

DevOps Engineer

• Design, implement, and maintain our infrastructure using best practices
• Create and support CI/CD pipelines
• Deploy enterprise-scale projects on AWS
• Work with latest technologies like Kubernetes
• Automate key processes, including build, release, and monitoring (alerting and observability), for both infrastructure and products
• Design and execute technical solutions that improve speed and quality
• Monitor system performance and troubleshoot issues
• Participate in the on-call rotation to support our applications
• Collaborate with team members and other staff
• Ensure security and compliance requirements are met

Senior Site Reliability Engineer

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.