Senior Product Manager, WFI

Tempo Software creates integrated workflow solutions for time management, resource planning, budgeting, roadmapping, reporting, and related enterprise productivity needs. The Senior Product Manager will lead Workforce Intelligence from an emerging product into a durable business by owning its strategy, roadmap, adoption, retention, and revenue outcomes, while working with customers and cross-functional teams to develop AI attribution, governance, benchmarking, and reporting capabilities.

Responsibilities:

• The Workforce Intelligence strategy and roadmap, with clear bets tied to activation, adoption, retention, and revenue
• Run continuous discovery with CTOs, VPs of Engineering, engineering managers, and design partners to understand how they evaluate AI tools, productivity, spend, and risk
• Turn uncertain customer problems into testable hypotheses. Prototype quickly, run experiments with real customer data, and stop work that does not earn further investment
• Lead the evolution of trusted attribution and reporting, from AI activity and cost at the work-item level to executive narratives about throughput, delivery dates, capacity, and savings
• Develop Tempo's point of view on agent oversight, including how organizations identify agent-only work, connect it to funded initiatives, explain its cost, and review results with appropriate context
• Shape tool and model benchmarking that reflects a customer's own teams and work, with transparent methods and confidence rather than broad vendor claims
• Set the connector and data strategy across AI providers, developer environments, source control, work management, collaboration tools, and Tempo's own products
• Partner with the Product Managers for Timesheets, Capacity Planner, and Financial Manager to create connected customer value while keeping product ownership and sequencing clear
• Work with sales, marketing, and customer success on positioning, pricing, packaging, launches, enablement, adoption, and expansion. Be the source of truth for what the product can prove and where confidence has limits
• Define instrumentation and operating metrics for the product. Review the evidence regularly and make visible trade-offs across customer value, technical feasibility, trust, and commercial impact
• Represent Workforce Intelligence with customers, partners, Atlassian, and senior leaders. Communicate a crisp point of view and bring others with you when priorities compete

Requirements:

• 5+ years of product management experience, including end-to-end ownership of a B2B SaaS or data product for a technical audience
• A record of improving adoption, retention, expansion, or revenue. You can explain the decisions you made, the measures you used, and what changed as a result
• Experience taking a product or major product area from discovery through launch and growth, working closely with go-to-market teams as well as engineering and design
• Strong judgment in an ambiguous market. You can separate an interesting capability from a customer problem worth solving and make a clear investment case
• Deep customer discovery skills across interviews, usage data, prototypes, and live product experiments
• Experience designing tests that can disprove a product hypothesis, not just collect positive feedback
• Comfort working with imperfect or inferred data. You surface confidence and limitations clearly and avoid presenting correlation as proof
• The discipline to change a roadmap when customer evidence conflicts with the original plan
• Experience building developer tools, engineering intelligence, data and analytics products, AI governance products, or another technically complex enterprise product
• Working knowledge of software delivery: Jira work items, source control, pull requests, engineering performance measures, and the ways AI tools and agents now enter that workflow
• Enough data fluency to partner closely with engineering and analytics on attribution models, instrumentation, benchmarks, and reporting methodology
• Hands-on use of modern AI tools and a tested point of view on where AI produces measurable value and where it can create convincing but unreliable output
• Understanding of the product trade-offs around model evaluation, agent behavior, privacy, governance, cost, and rapidly changing vendor capabilities
• Ability to define a trustworthy measure of human and AI-assisted work, including where the evidence supports a conclusion and where it does not
• A history of aligning engineering, design, sales, marketing, customer success, finance, and executives around a shared outcome when none of those groups reported to you
• Clear, concise writing and presentation skills. You can explain a complex technical and commercial problem without hiding behind jargon
• Credibility with senior technical buyers and the curiosity to learn how their decisions are actually made
• Low attachment to your own ideas and high commitment to the outcome. You share hypotheses early, invite challenge, and make decisions plainly
• Experience with the Atlassian ecosystem or another platform and marketplace business is a strong advantage