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Bolo AI is building AI solutions for heavy industry—energy, utilities, manufacturing, and industrial operations. The company helps customers catch critical equipment failures, recover hidden cost impacts, automate workflows, and unlock value from decades of operational data.
You will own customer engagements from discovery through deployment, adoption, and measurable business impact. This is a hybrid role sitting at the intersection of customer, GTM, and engineering. You will immerse yourself in customers' operational workflows and data, translate messy problems into clear problem statements and MVP scope, partner with engineering to build stable AI-powered solutions, and manage tradeoffs across customer urgency, technical complexity, and long-term product reuse.
Key responsibilities include:
- Own end-to-end customer engagements from discovery through deployment and expansion
- Build credibility with diverse stakeholder groups (field teams, technical teams, executives, commercial buyers)
- Translate complex operational workflows into clear problem statements, data requirements, user stories, and product requirements
- Partner with engineering to turn customer workflows and datasets into extensible AI solutions
- Scope phased deployments that create value quickly without unsustainable custom work
- Lead customer rollout and adoption to ensure solutions become part of real workflows
- Track expansion, renewal, and commercial outcomes alongside delivery milestones
- Identify repeatable patterns across engagements and codify them into scalable product and delivery processes
Success means helping pilots become must-have deployments by creating clear, measurable customer value; building trust across customers, engineering, GTM, and the founding team; and turning customer-specific learning into reusable product patterns. The bar is not just delivering what you promised—it's creating so much value that customers don't want to live without Bolo when the pilot ends.
This is an in-person, customer-facing role based in either Palo Alto or Houston. Expect regular team collaboration, customer meetings, on-site discovery, and travel up to 50% during intensive discovery, deployment, or expansion periods.
**Requirements:**
- 6–8+ years of experience in high-ownership, customer-facing roles such as consulting, forward-deployed product, enterprise software implementation, solutions, technical delivery, product management, or business operations
- Track record of running complex client-facing work under ambiguity: scoping problems, aligning stakeholders, managing tradeoffs, driving to concrete outcomes
- Strong commercial judgment connecting customer success, expansion, renewal, and product direction
- Strong technical fluency: comfortable reasoning through data, integrations, AI workflows, implementation constraints, and tradeoffs with engineers
- Clear product judgment: ability to define MVP scope, write clear requirements, make prioritization tradeoffs, and distinguish customer-specific requests from reusable product patterns
- Excellent communication with executives, operators, engineers, and data teams; ability to push back constructively
- Ability to operate in early-stage startup environments: low structure, high ambiguity, fast context switching, no perfect playbook
- Real curiosity about AI: actively experiment with AI tools and think critically about where they work, fail, and what it takes to make them reliable in production
- Plus: exposure to energy, oil and gas, heavy industry, applied AI/ML, or LLM-based products
