Own customer-facing product management for enterprise ERP and IT transformation programs. Engage stakeholders to identify risks, dependencies, and inefficiencies; build analytical artifacts and AI-driven analysis specifications; translate customer insights into scalable product capabilities; support pre-sales, pilots, and proof-of-concept engagements; and inform the product roadmap through customer feedback.
Role Overview
A Senior Forward-Deployed Product Manager (FDPM) works at the intersection of enterprise
transformation programs, product development, and AI-driven analysis.
In this role, you will work closely with large enterprise customers who are executing complex
transformation programs. You will engage directly with program leaders, functional architects, PMO
teams, and system integrators to understand how their programs operate and where risks and
inefficiencies exist.
Your primary responsibility is to translate this real-world program context into analytical artifacts,
structured insights, and product capabilities inside the Axiamatic platform.
This role combines elements of product management, domain expertise, and hands-on solution
building. You will also play an important role in pre-sales engagements, helping prospective customers
understand how Axiamatic can help them manage and de-risk their transformation programs
Requirements
Work directly with customer transformation programs
- Engage with enterprise stakeholders including program leaders, PMOs, functional architects, and
system integrators.
- Understand the structure and execution of large ERP or IT transformation programs.
- Identify the key questions and risks that stakeholders need visibility into in order to manage their
programs effectively.
Build analytical artifacts and solution
- Create boards, analytical views, and program intelligence artifacts using the Axiomatic platform.
- Surface insights such as risk signals, traceability gaps, readiness indicators, and program
dependencies.
- Deliver analysis that helps stakeholders make faster and more informed decisions.
Author specifications for AI-driven analysis
- Define structured specifications that guide how AI agents analyze transformation program data.
- Encode domain knowledge about transformation programs into reusable analytical frameworks.
- Collaborate with engineers and researchers to ensure analyses are accurate, reliable, and scalable.
Translate customer insights into product capabilities
- Identify patterns across transformation programs and convert them into reusable product capabilities.
- Work closely with product, design, and engineering teams to productize solutions built for individual
customers.
- Ensure that innovations developed during customer engagements scale across the broader customer
base.
Participate in pre-sales and pilot engagements
- Partner with sales and leadership teams during the pre-sales process.
- Help prospective customers understand how Axiamatic can be applied to their transformation
programs.
- Participate in discovery sessions, pilots, and proof-of-concept engagements.
- Demonstrate how the platform surfaces insights and delivers value for enterprise transformation
initiatives.
Drive continuous product learning
- Provide feedback to product and engineering teams based on real-world customer usage.
- Help shape the product roadmap by identifying opportunities to automate analysis and deliver new
insights.
What Success Looks Like
Success in this role means:
- Customers rely on Axiamatic to understand the health and risks of their transformation programs.
- Analytical frameworks you develop become reusable capabilities within the platform.
- Insights generated through the platform influence important program decisions.
- Solutions built during customer engagements evolve into scalable product features.
- Prospective customers quickly understand the value of the platform through the pilots and
demonstrations you help lead
Qualifications
Required
- 5–10 years of experience in product management, enterprise software, consulting, transformation
programs, or pre-sales solution consulting.
- Strong hands-on experience building solutions, prototypes, analytical artifacts, or technical
workflows.
- Experience supporting pre-sales engagements, solution discovery, or customer pilots.
- Ability to work directly with enterprise stakeholders and navigate complex transformation
environments.
- Strong problem-structuring skills and the ability to translate complex program information into
structured analysis.
- Curiosity about AI technologies and emerging AI tools, with a strong desire to learn and experiment
in a rapidly evolving field.
Preferred
- Experience with ERP platforms such as SAP, Oracle, or Microsoft Dynamics.
- Experience in management consulting, transformation programs, or enterprise delivery roles.
Familiarity with data analysis, AI/LLM systems, or knowledge graph-based platforms.
- Comfort operating in ambiguous environments and building solutions from first principles
Similar Jobs
Edtech • Enterprise Web • HR Tech • Software
Embed with high-value customers to discover and deliver off-platform tasking solutions, own the end-to-end fellow experience in external environments, graduate bespoke integrations into platform primitives, define success metrics for speed and repeatability, and partner cross-functionally to scale revenue-critical AI training-data engagements.
Information Technology • Internet of Things
The Senior PMO will oversee post-sales operations, ensuring client success through product implementation, process mapping, and cross-functional collaboration, aiming for enhancements and support in upper mid-market and enterprise clients.
Top Skills:
ErpSQL
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Lead product marketing for Falcon Cloud Security, defining go-to-market strategy, positioning, messaging, competitive differentiation, CSP partnerships, analyst relations, vertical motions, field enablement, customer engagement, and thought leadership. The role requires deep cloud security expertise, strong storytelling and business acumen, and the ability to influence cross-functional teams and senior stakeholders.
Top Skills:
Ai TechnologiesAWSCdrCloud-Native Security OperationsCnappCspmCwppDevOpsGCPKubernetesAzure
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
