Full-Time

Lead Product Manager

Energy

Updated on 9/10/2026

TIBCO Software

TIBCO Software

1,001-5,000 employees

Real-time data integration & analytics platform

Compensation Overview

$148k - $253.1k/yr

+ Annual bonus + Sales incentives

Texas, USA + 1 more

More locations: Colorado, USA

Remote

Category
Product (1)
Required Skills
UI/UX Design
Data Science
Forecasting
Product Management
Data Analysis

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Requirements
  • Experience in product management for analytics, data science, or engineering software, ideally with exposure to the oil and gas or energy industry across more than one part of the value chain.
  • Working knowledge of common oil and gas analytical workflows, such as decline curve analysis, reserves and production forecasting, or production surveillance and optimization.
  • Comfort engaging directly with technical, domain-expert customers, including reservoir engineers, production engineers, process engineers, and data scientists, and translating their workflows into product requirements.
  • A track record of shipping features end-to-end, from customer discovery and requirements definition through engineering collaboration, general availability, and field enablement.
  • Ability to operate independently across a distributed, cross-functional organization while coordinating with engineering, field or sales engineering, marketing, and other product leads.
  • Strong written and verbal communication skills, including the ability to produce clear, structured status updates and roadmap materials and deliver customer-facing demonstrations.
  • Familiarity with, or willingness to quickly learn, Spotfire.
  • Comfort with data and analytics concepts such as statistical modeling, forecasting, and industry-specific data sources including LAS, Petrel, OpenWorks, and Aries or similar tools.
Responsibilities
  • Conduct customer research across the oil and gas value chain to discover needs, pain points, and issues Spotfire can address.
  • Build relationships with key customers and validate product direction through continuous collaboration and iterative discovery.
  • Publish clear, actionable customer interview notes and insights in a timely manner so the wider team benefits from customer understanding.
  • Advocate for energy customers throughout the product development process and across product initiatives.
  • Own and evolve the vision and roadmap for the Energy vertical in alignment with company objectives.
  • Prioritize features and initiatives based on customer value, business impact, and technical feasibility.
  • Align engineering, marketing, customer success, sales, and field engineering around the product strategy.
  • Collaborate with engineering, design, and marketing to bring energy-specific end-to-end industry workflows to market successfully and coordinate with adjacent initiatives.
  • Work closely with product designers and senior engineers during product discovery to explore and validate solutions.
  • Define product requirements and user stories and prioritize the Energy vertical backlog.
  • Support field enablement through demonstrations, use-case-specific assets, and customer-facing presentations.
  • Represent the Energy vertical in cross-functional planning and roadmap reviews and communicate status clearly and regularly.
Desired Qualifications
  • Experience partnering with external software vendors or platforms to build joint integrations, such as integrations with third-party engineering tools used in the energy sector.

TIBCO Software provides a platform for real-time data integration and analytics that helps businesses connect, unify, and analyze data to improve decision-making and operational efficiency. Its tools are used by healthcare providers, financial institutions, and large enterprises. The company earns money from software licensing, subscriptions, and professional services, and its platform can be deployed on-premises, in the cloud, or in hybrid environments. It emphasizes high performance, reliability, and scalability for mission-critical applications. Unlike many competitors, TIBCO combines comprehensive data integration with analytics across flexible deployment models, serving large organizations that need real-time data flows. The goal is to help organizations manage their data more effectively to support faster, better decisions and smoother operations.

Company Size

1,001-5,000

Company Stage

Acquired

Total Funding

$4.3B

Headquarters

Palo Alto, California

Founded

1997

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Simplify Jobs

Simplify's Take

What believers are saying

  • TIBCO Cloud Integration launched in AWS Marketplace, simplifying procurement for enterprise buyers.
  • Flogo's MCP Connector targets AI incident response, lowering MTTR by 35% in benchmarks.
  • Data Resonance settled its patent case in 2024, removing one litigation overhang.

What critics are saying

  • Spotfire 14.5 and 14.4 end support June 30, 2026, forcing customer migrations.
  • TIBCO headcount fell 28.1% from 2023 to 2,414 employees by March 2026.
  • Cloud Software Group split Citrix and TIBCO in June 2026, signaling portfolio instability.

What makes TIBCO Software unique

  • Flogo 2.26.6 added MCP tooling, OAuth 2.0, and AI orchestration in July 2026.
  • Spotfire 15.0 shipped July 2026, preserving enterprise analytics with frequent release cycles.
  • Cloud Software Group kept TIBCO branded as a separate business unit through 2026.

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Benefits

Health Insurance

Life Insurance

Disability Insurance

401(k) Retirement Plan

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
TIBCO
Apr 2nd, 2026
How to automate Smart Incident Response with TIBCO Flogo(R) and Model Context Protocol(MCP).

How to automate Smart Incident Response with TIBCO Flogo(R) and Model Context Protocol(MCP). April 2, 2026 TIBCO Flogo(R) automates incident response by combining Model Context Protocol (MCP) tools for interactive data collection, real-time logging, and AI-driven root-cause analysis. Using the Smart Incident Response Assistant, Site Reliability Engineers can collect structured incident data, generate an LLM-powered remediation report, and establish a transparent audit trail within a single TIBCO Flogo workflow. TIBCO Flogo's new Smart Incident Response Assistant showcases how the Model Context Protocol (MCP) integrates with advanced AI agents. This workflow eliminates manual triage overhead by acting as an intelligent bridge between production systems and your Site Reliability Engineering (SRE) team. For a foundational look at these capabilities, see its full guide on TIBCO Flogo(R) Model Context Protocol(MCP) Showcase Sample - Smart Incident Response Assistant. How does the TIBCO Flogo Incident Response architecture work? * Initial Trigger: An engineer prompts the AI with a symptom like "Payment system down". * MCP Elicitation: The ElicitIncidentDetails activity renders a native form to collect structured data. * Real-time Visibility: The LogIntakeComplete activity emits structured log messages back to the client. * AI Analysis: The SampleRootCause activity uses the LLM Sampling Gateway to diagnose the issue. * External Orchestration: The workflow triggers automatic ticket creation in PagerDuty or ServiceNow. Automating Incident Response triage with the TIBCO Flogo MCP Connector. The assistant implements three key capabilities within a single workflow to ensure high "Information Gain" and machine readability: * MCP Elicitation: Interactive intake forms via the ElicitIncidentDetails activity collect affected system and severity data. * MCP Logging: Structured log messages from LogIntakeComplete and LogAnalysisComplete provide an instant audit trail directly to the engineer's client. * MCP Sampling: Complex diagnostics are delegated to an LLM via the SampleRootCause activity to rank likely root causes. Why is ai-driven root-cause analysis critical for SRE teams? Manual diagnosis remains the primary bottleneck in production incidents. AI-powered sampling removes this guesswork by automating initial log forensics, a practice supported by DORA (DevOps Research and Assessment) standards for high-performing teams. Internal benchmarks show this assistant reduced Mean Time to Resolution (MTTR) by 35% for P1 incidents. "In the fast-paced realm of automated system discovery, if the machine can't parse it in 200 milliseconds, the human will never see it." Frequently asked questions. How does TIBCO Flogo automatically create tickets? The workflow includes an automated exit strategy where the final triage report triggers a "Build & Return" activity to interface with PagerDuty or ServiceNow. What is the role of LLM Sampling? LLM Sampling through the SampleRootCause activity delegates diagnostics to an LLM mid-flow to rank root causes and suggest remediation. What are the prerequisites for the Flogo MCP Connector? Flogo MCP connector is available in Flogo 2.26.0 release onwards. You can download it from here. Key takeaways. * Automated Intake: TIBCO Flogo uses MCP Elicitation for structured reports. * Instant Diagnostics: AI-powered MCP Sampling diagnoses root causes instantly. * Zero-Lag Compliance: MCP Logging provides a transparent audit trail. Qinghai Kong is a Lead QA Engineer for TIBCO Flogo at Cloud Software Group, within the TIBCO Business Unit. He leads quality engineering efforts across the Flogo team, with deep expertise in the Flogo MCP Connector and emerging AI capabilities. He is passionate about building high-quality, scalable integration solutions and collaborates closely with cross-functional teams to drive innovation.

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