PD

• Strategic Pivot ('Build, Sell, Optimize'): CEO John DiLullo outlined a renewed focus on three pillars: building loved products, activating effective go-to-market motions, and optimizing expenses that do not directly support the first two areas.
• Product Innovation & AI Integration: The company is transitioning from incident detection to prevention via the 'PD Reliability Platform' (formerly Operations Cloud). This usage-based, AI-first platform features an autonomous SRE agent that learns from past incidents and uses proprietary ML for early disruption detection. General Availability is scheduled for later this quarter.
• Workforce Restructuring: A restructuring impacting approximately 15% of the workforce was completed, focusing on reducing non-customer-facing roles while retaining quota-bearing sellers and key product teams. This aims to improve efficiency and reinvest savings into high-growth areas.
• Customer Growth & Wins: New customer acquisition exceeded guidance, driven by online sales and enterprise expansion. Notable wins include a diversified financial services firm ($850k/3-year agreement), a leading Japanese bank, a major workflow automation platform (~$3M/36-month agreement), and a UK AI infrastructure provider.
• Retention Improvement: Dollar-based net retention improved sequentially to 98%, and annualized gross retention also rose. Management attributes this to the combination of strong product utility and the new consumption model.
• Ecosystem Expansion: Partnerships with Anthropic, Cursor, Langchain, CoreWeave, and Anduril continue to grow, validating PagerDuty's position as a critical control point for AI-driven operations.

• Q3 FY27 Revenue: Expected between $123 million and $125 million, with the midpoint approximately flat year-over-year.
• Q3 FY27 Net Income Per Diluted Share: Expected between $0.34 and $0.36, implying a non-GAAP operating margin of 26.5% to 27.5%.
• FY27 Revenue: Raised low-end guidance; expected range is now $491.5 million to $496.5 million (midpoint approx. flat YoY).
• FY27 Net Income Per Diluted Share: Expected between $1.33 and $1.37, reflecting cost savings from restructuring.
• FY27 Operating Margin: Raised to 25% to 26% (previously 24% to 25%), accelerating progress toward the long-term 30% target.
• Free Cash Flow Margin: Revised upward to be in line with FY26 levels, whereas previously it was expected to be 2-4 points lower than FY26.

PagerDuty reported total revenue of $124.4 million, representing a 1% year-over-year increase and exceeding the top end of guidance. International revenue contributed approximately 30% to the total. The company achieved non-GAAP operating income of $29.5 million (24% margin), surpassing the high end of guidance. GAAP net income was $4.7 million, marking the fifth consecutive quarter of profitability. Annual Recurring Revenue (ARR) crossed the $500 million milestone, ending at $501 million with a sequential increase of $6 million.

• AI Operational Complexity: As enterprises deploy more non-deterministic, AI-generated software, the frequency and complexity of failures may increase, requiring robust resilience strategies.
• Seat Compression Pressure: Historically, customers have reduced seat counts due to idle agents or excess capacity, though management believes the usage-based model mitigates this risk.
• Execution Risk: The success of the 'Build, Sell, Optimize' strategy depends on effectively integrating AI capabilities and realizing projected cost savings from restructuring.
• Market Adoption: While demand is strong, continued growth relies on broad adoption of the new usage-based pricing model and the PD Reliability Platform across diverse customer segments.

Q: Kingsley Crane asked if keeping humans in the loop is a core tenant or dictated by readiness, and if PagerDuty can govern third-party agent execution. / A: CEO DiLullo stated that human-in-the-loop remains the natural motion for case handling, aiding RLHF and customer trust, though fully autonomous modes are gaining ROI for simple/repeated cases. He confirmed that as autonomy increases, human oversight will likely decrease but emphasized that current blended approaches are well-received. Regarding governance, he noted PagerDuty’s role as a central reliability platform positions it to orchestrate these workflows.

Q: Andrew Sherman asked about customer feedback on the usage-based model, potential for aggressive push in H2, and pipeline health. / A: CEO DiLullo highlighted that the usage model lowers barriers to entry, allowing customers to experience AI capabilities in bite-sized ways, driving alignment of value with usage. He noted strong growth in accounts spending over $100k annually and positive momentum in enterprise deals initiated by AIOps solutions. CFO Prengel added that net retention stabilization to 98% signals business stability, driven by the mix of AI solutions and the new consumption model.

Q: Sanjit Singh asked about portfolio adjacencies, where PagerDuty has a 'right to win,' and whether seat compression headwinds are past their worst. / A: CEO DiLullo identified 'PD for AI' as a key right-to-win area, citing the fragility of non-deterministic AI workloads and risks like hallucination or PII leakage as drivers for PagerDuty’s relevance. CFO Prengel agreed that the usage-based OpsCloud model helps mitigate historical seat compression pressures. Both executives expressed confidence that the business is stabilizing, with gross retention improvements indicating that the worst of the headwinds may be behind them.

Q: Jeff VanRee asked about sales cycle changes, competitive landscape, and how restructuring savings are being utilized. / A: CEO DiLullo noted that competitors’ excess agent inventories are depleting, which is shortening sales cycles and improving win rates. He emphasized that idle agent populations are shrinking, creating pent-up demand. CFO Prengel clarified that while gross savings figures aren't disclosed, the Q3 operating margin guidance (26.5%-27.5%) reflects a ~3.5 point increase, largely due to restructuring. Savings are being reinvested into product innovation ('AI for PD' and 'PD for AI') and go-to-market efforts to accelerate toward the 30% margin target.