Account Lead

Account Lead

As an Account Lead at Sight Machine, you will serve as the anchor for our highest-impact manufacturing client engagements. The position reports to the CEO/Co Founder. You own the strategic relationship, the commercial health, and the long-term trajectory of each account in your portfolio. You are the reason a client continues to invest, translating the value of AI-powered manufacturing intelligence into business outcomes that resonate at the C-suite, securing executive alignment, and ensuring Sight Machine delivers on its full promise.

Manufacturing executives are being approached by every major technology company right now with an AI story. Most of those stories are early, unproven, or built on someone else's infrastructure. Sight Machine's is not. Our platform runs on live production data, across real factories, for some of the world's most demanding manufacturers. As an Account Lead, your job is to make that case credibly and to build the kind of executive trust that holds when a deployment gets hard, a contract comes up for renewal, or a client's priorities shift. That requires someone who genuinely understands what AI in manufacturing means, not just what it sells for.

You will lead a three-person delivery team alongside a Forward Deployed Strategist (FDS) and Forward Deployed Engineer (FDE), serving as the connective thread between Sight Machine leadership, ecosystem partners, and client buying centers. The work your team delivers is substantive: AI models running on live production data, use cases that change how plant managers make decisions, and platform deployments that have to hold up under real operational pressure. You operate primarily at the strategic layer, but you are close enough to the work to challenge a delivery timeline, guide a use case definition, or step into an executive conversation when the stakes are high.

If you have a track record of owning complex enterprise accounts, managing executive relationships with authority, and navigating the financial and organizational dynamics of global manufacturing organizations, this role offers something increasingly rare: the chance to sell and deliver AI that is genuinely working, on real factory floors, at real scale. The AI transformation in manufacturing is not a pitch deck. It's happening, and you'll be at the front of it.

This position requires up to 40% domestic and international travel to client sites, executive briefings, partner summits, and industry events. Travel frequency will vary by account portfolio and engagement phase.

Qualifications

• 7+ years of professional experience with significant time in enterprise account management, management consulting, or customer success within manufacturing, industrial technology, or complex B2B SaaS environments
• Demonstrated track record of owning executive-level client relationships and driving measurable commercial outcomes, including renewals, expansions, and at-risk account recovery, within global manufacturing organizations
• Deep understanding of manufacturing enterprise dynamics: org structures, decision-making processes, funding mechanisms, and operational priorities across functions including operations, IT/OT, finance, and procurement
• Strong commercial acumen, including experience managing contract negotiations, pricing structures, and partner financial relationships
• Ability to lead, coach, and align cross-functional delivery teams without direct authority, creating clarity and momentum across the FDS and FDE
• Strong executive communication and storytelling skills, with the ability to distill complex technical and commercial situations into clear narratives for C-suite audiences
• Experience managing complex multi-party engagements involving Systems Integrators, technology partners, and enterprise procurement stakeholders
• High emotional intelligence and political acuity, with the ability to navigate ambiguity and maintain relationships under pressure
• Genuine curiosity about how AI is reshaping manufacturing operations, and a track record of adopting new tools to work more effectively. You don't need to be an AI engineer, but you should be someone who leans in rather than waits to see how it plays out

Also Helpful, But Not Required

• Prior experience with AI/ML, Industrial IoT, or advanced analytics platforms in a manufacturing context
• Familiarity with Microsoft Azure ecosystem, Databricks, or similar data and AI infrastructure platforms
• Experience as a co-sell partner or alliance manager with major cloud providers (Microsoft, AWS, GCP)
• Background in digital transformation program leadership at enterprise scale
• MBA or advanced degree in business, engineering, or operations
• Prior experience in a forward-deployed, embedded, or customer-side consultative role